Celastrol, acknowledged as a prominent exemplar of the potential for transforming traditional medicinal compounds into contemporary pharmaceuticals, has garnered considerable attention owing to its extensive pharmacological activities. The increasing volume of publications concerning celastrol highlights its importance in current scientific inquiry. Despite the growing interest in this compound, a bibliometric analysis focused on this subject remains to be undertaken.

Our study explored a bibliometric approach to identify and characterize global research trends and frontiers related to celastrol, including mapping research outputs, influential contributors, and thematic areas, as well as highlighting gaps and opportunities for future investigations.

In this study, we utilized the Web of Science Core Collection (WoSCC) to source and review articles related to celastrol published from 1997 to 2023. The bibliometric analysis was conducted using the R package 'Bibliometrix,' supplemented by visualization tools including CiteSpace, VOSviewer, and GraphPad Prism 10.

Celastrol related research papers have exhibited an upward trend annually and can be categorized into three distinct phases, each highlighting different areas of focus. China, the United States, and South Korea rank as the top three nations for publication volume, with varied research interests across these countries. Several prolific research teams have emerged, each with distinct areas of interest. Examining the primary research domains of celastrol (anti-inflammatory, anticancer, and toxicity) reveals a notable intersection between the first two domains.

The scope and depth of celastrol research have been steadily expanding, with regional and team-specific variations. Key research areas include anti-inflammatory, anticancer, and toxicity studies. Future research is expected to focus on enhancing the effectiveness and reducing the toxicity of celastrol. Meanwhile, given the multi-target characteristics of celastrol's effects, integrating methods such as network biology and molecular simulation will provide a novel perspective for celastrol research.

Immunity has vital research value and promising applications in triple-negative breast cancer (TNBC). Nevertheless, few bibliometric analyses have systematically investigated this area. This study aimed to comprehensively review the collaboration and impact of countries, institutions, authors, and journals on the role of immunity in TNBC from a bibliometric perspective, evaluate the keyword co-occurrence of the knowledge structure, and identify hot trends and emerging topics. Articles and reviews related to immunity in TNBC were retrieved from the Web of Science core collection using subject search. A bibliometric study was conducted primarily using CiteSpace and VOSviewer. A total of 3,104 articles and reviews were included from January 1, 2014, through December 31, 2024. The number of articles on immunization in TNBC is rising. These publications are mainly from 415 institutions in 82 countries, led by China and the USA. Among these publications, Lajos Pusztai published the most papers, while Peter Schmid was co-cited the most. The most productive journals focused on molecular biology, biological immunology, and clinical medicine. Furthermore, co-citation analysis revealed that tumor microenvironment, biomarkers, and immune checkpoint inhibitors are current and developing research areas. The keywords "immunotherapy" and "nanoparticles" are also likely to be new trends and focal points for future research. This study adopted bibliometric and visualization methods to provide a comprehensive review of the research on immunization in TNBC. This article will help researchers better understand the dynamic evolution of the role of immunity in TNBC and identify areas for future research.

Renal involvement is not uncommon in patients with systemic sclerosis (SSc) and presents in various forms, particularly progressing to scleroderma renal crisis (SRC), which is associated with poor prognosis. Therefore, understanding the research trends in this field is critical for advancing clinical management and therapeutic strategies.

A bibliometric analysis was conducted using the Web of Science Core Collection, examining publications related to SSc and renal involvement from January 2000 to November 2024. We analyzed publication trends, key contributors, institutions, and countries.

A total of 1,339 publications were identified in the field of SSc and renal involvement, demonstrating an upward trend in publication volume from 2000 to 2024. These articles have been cited a total of 61,234 times, with the majority of contributions coming from the United States, Italy, and East Asian countries. The University of Michigan and University College London were particularly prominent in terms of both publication volume and collaboration networks. Keyword analysis revealed a shift in research focus, with increasing attention on clinical aspects, pathophysiological mechanisms, and vascular complications.

This study provides a comprehensive overview of the research landscape on SSc with renal involvement, highlighting the key contributors and emerging trends.

Given the growing significance of immunotherapy in addressing the limitations of conventional acute myeloid leukemia (AML) treatments, this study aimed to elucidate the hotspot evolution and frontiers of immunotherapy in AML using bibliometric analysis. With a strict retrieval strategy applied in the Web of Science Core Collection, 2411 publications were obtained and exported. The temporal and geographical distributions of these publications and the countries, institutions, journals, and authors who contributed to the field were investigated. An in-depth content analysis was performed. The United States had various research institutions dedicated to AML immunotherapy. Frontiers in Immunology had the highest number of publications, but Blood had the highest H-index. Marion Subklewe was the most productive author. The current research hotspots of AML immunotherapy included chimeric antigen receptor-T-cell therapy, antibody-based immunotherapies, immune checkpoint blockade, and combination therapy, highlighting the key aspects of immunotherapy for AML treatment and providing comprehensive insights into the research status and advances in this field. Novel immunotherapies combined with chemotherapy may become the primary focus of AML treatment.

To summarize the research status of lung cancer immunotherapy using bibliometrics. CiteSpace software was used to analyze all literature on lung cancer immunotherapy collected from the Web of Science (WOS) database from 2004 to 2024. A total of 1702 publications on lung cancer immunotherapy were searched, and the number of articles increased more rapidly after 2014. Two areas intensively studied by the discipline are tumor microenvironment and dendritic cells. He, Jie, Chinese Academy of Medical Sciences - Peking Union Medical College, and China of America were the authors, institutions, and countries with the most. The research trajectory in the use of immunotherapy for lung cancer is thoroughly examined in this article. With tumor microenvironment, blockade, nivolumab, resistance, and chemotherapy being the primary research hotspots. Future studies might concentrate on melanoma, antibody, dendritic cells, non-small cell lung cancer, and ctla 4 blockade.

This study aims to fill the knowledge gap in systematically mapping the evolution of omics-driven tumor immunotherapy research through a bibliometric lens. While omics technologies (genomics, transcriptomics, proteomics, metabolomics)provide multidimensional molecular profiling, their synergistic potential with immunotherapy remains underexplored in large-scale trend analyses. A comprehensive search was conducted using the Web of Science Core Collection for literature related to omics in tumor immunotherapy, up to August 2024. Bibliometric analyses, conducted using R version 4.3.3, VOSviewer 1.6.20, and Citespace 6.2, examined publication trends, country and institutional contributions, journal distributions, keyword co-occurrence, and citation bursts. This analysis of 9,494 publications demonstrates rapid growth in omics-driven tumor immunotherapy research since 2019, with China leading in output (63% of articles) yet exhibiting limited multinational collaboration (7.9% vs. the UK's 61.8%). Keyword co-occurrence and citation burst analyses reveal evolving frontiers: early emphasis on "PD-1/CTLA-4 blockade" has transitioned toward "machine learning," "multi-omics," and "lncRNA," reflecting a shift to predictive modeling and biomarker discovery. Multi-omics integration has facilitated the development of immune infiltration-based prognostic models, such as TIME subtypes, which have been validated across multiple tumor types, which inform clinical trial design (e.g. NCT06833723). Additionally, proteomic analysis of melanoma patients suggests that metabolic biomarkers, particularly oxidative phosphorylation and lipid metabolism, may stratify responders to PD-1 blockade therapy. Moreover, spatial omics has confirmed ENPP1 as a potential novel therapeutic target in Ewing sarcoma. Citation trends underscore clinical translation, particularly mutation-guided therapies. Omics technologies are transforming tumor immunotherapy by enhancing biomarker discovery and improving therapeutic predictions. Future advancements will necessitate longitudinal omics monitoring, AI-driven multi-omics integration, and international collaboration to accelerate clinical translation. This study presents a systematic framework for exploring emerging research frontiers and offers insights for optimizing precision-driven immunotherapy.

Amid rapid urbanization and rising health challenges, nature-based interventions (NBI) have emerged as a multidisciplinary focus for enhancing well-being and environmental sustainability. This study analyzed 35,418 publications from the Web of Science (1985-2023) using bibliometric tools (CiteSpace, VOSviewer) to map trends in NBI research. The annual number of publications, research institutions, and keywords were systematically analyzed. The conclusions drawn from this analysis are as follows: (1) The annual publication volume in the field of nature-based interventions has been steadily growing, reflecting the rising interest and recognition of its importance within the research community; (2) The research direction is gradually exhibiting diverse characteristics, spanning multiple disciplinary fields; (3) The current research predominantly emphasizes on four dimensions of nature-based interventions: physiological therapy, mental health, rehabilitation effects of physical activity, and the enhancement of quality of life across various population group. However, systematic exploration of the benefits of nature-based interventions for the sub-healthy population remains limited particularly concerning their impact on social health. Therefore, future research should place greater emphasis on examining the interactive relationship between nature-based interventions and the social health of sub-healthy populations, offering valuable references and inspiration for further research.

Obesity can directly lead to allodynia, increase the incidence of chronic pain, and aggravate existing pain. However, the mechanisms underlying obesity-related or obesity-induced pain are still not understood. Herein, we performed a comprehensive bibliometric analysis of obesity-related or obesity-induced pain, aiming to analyze the current trends and hot spots as well as explore the underlying mechanisms.

We searched reviews and articles on obesity-related or obesity-induced pain from 2005 to 2024 via the Web of Science Core Collection (WoSCC) database. We subsequently conducted bibliometric analysis employing WPS Office, a web-based bibliometric analysis platform (https://bibliometric.com), VOSviewer, Pajek, and CiteSpace.

In total, 347 papers were identified for bibliometric analysis. The country, institution, and journal with the greatest influence were the USA, Albert Einstein College of Medicine, and Headache, respectively. Dr. Lipton RB and Dr. Karppinen J were the top 2 influential authors on the basis of their significant number of publications and citations. The keywords for the latest burst were "inflammation," "risk," "neuropathic pain," "gene-related peptide," "knee osteoarthritis," and "validation." Notably, the article titled "The association between chronic obesity and pain" by Okifuji A received the highest number of citations as well as the strongest citation burst. He and colleagues noted a significant correlation between obesity and pain in terms of clinical manifestations, but this connection is indirect and is modulated by certain biomechanical and structural alterations linked to obesity, inflammatory agents, mood disorders, sleep disturbances, and lifestyles.

There has been a notable surge in the number of articles published in the last two decades. The investigation into neuroendocrine and neuroimmune mechanisms underlying obesity-related or obesity-induced pain is expected to be a hot spot in the coming years. A potential strategy for treating chronic obesity and pain should pay attention to particular endocrine regulators, inflammatory cytokines, or immune cells that serve as central elements or crucial signaling pathways within this regulatory system.

Human umbilical cord mesenchymal stem cell-derived exosomes (hUCMSC-Exos) have gained significant attention for their potential in cellular regeneration and functional rehabilitation. Nevertheless, the rapid expansion of research in this field makes it challenging for emerging trends and strategic priorities, potentially impeding scientific advancement. This study employs bibliometric analysis to systematically evaluate the research landscape and highlight pivotal research trajectories of hUCMSC-Exos.

Publications on hUCMSC-Exos from 2012 to 2024 were retrieved from the Web of Science Core Collection (WoSCC). Quantitative bibliometric analysis was implemented through integrated utilization of VOSviewer, CiteSpace, and Bibliometrix analytical tools.

China and its institutions led global publication output, with Qian Hui from Jiangsu University identified as the most prolific author. STEM CELL RESEARCH & THERAPY emerged as a high-impact journal in this domain. Current research predominantly focuses on immunomodulation, regenerative medicine, pharmaceutical delivery systems, and clinical model development. Future research directions are expected to explore angiogenesis, spinal cord injury, and immunomodulation.

This study maps the evolving landscape of hUCMSC-Exos research, emphasizing its applications in regenerative medicine. By synthesizing current and emerging paradigms, these findings provide insights into therapeutic potential, novel mechanisms, and pathways for clinical translation.

Kidney cancer is a worldwide prevalent urological malignancy and the leading cause of death. Sequencing and omics studies play a crucial role in unraveling its molecular mechanisms and diagnostic, prognostic, and therapeutic relevance. This study aims to offer a comprehensive review of the evolving trends and hotspots of sequencing and omics studies in kidney neoplasms.

We conducted the retrieval of scientific publications on sequencing and omics studies in kidney neoplasms from the Web of Science Core Collection (WoSCC) on July 3, 2023. The R-based bibliometrix package, VOSviewer, and CiteSpace were utilized to conduct the holistic bibliometric analysis to obtain objective and data-driven results. A comprehensive consultation of papers was then proceeded for an in-depth review.

Our investigation yielded a dataset containing 1260 records from 509 sources, with 43,404 references, from 1960 to 2023. Publication and citation frequencies have been consistently growing. In country analysis, China and the USA led the research, displaying substantial collaboration. Notable contributors like TEH BT, SAUTER G, and FUTREAL PA shaped this research landscape. Key journals such as PLoS One, Cancer Research, and New England Journal of Medicine actively participated in and significantly influenced this field. Distinguished publications and references were also revealed, along with their historical citation and co-citation relationships. A panel of keywords, including RCC, biomarker, and multi-omics data were identified and clustered.

We obtained a profound understanding of the developing trends and hotspots of research investigating sequencing and omics studies in kidney neoplasms. Specifically, we have highlighted three hotspots: "explore molecular mechanisms of RCC pathogenesis, progression, and metastasis", "identify molecular biomarkers of RCC for diagnosis, prognosis, and therapeutics", "investigate tumor heterogeneity and tailor personalized therapeutic strategies for RCC". Hopefully, our study will serve as a valuable reference for scientific researchers and clinical practitioners.

This study aims to identify research hotspots and trends by conducting a bibliometric report regarding the impact of MD on aging.

Publications on MD and aging were extracted from the Web of Science Core Collection. R software, VOSviewer and CiteSpace were employed to detect research hotspots and frontiers.

The number of annual articles has grown rapidly. The core research content in this field are the mechanism of the antiaging action of MD (inflammation, oxidative stress and gut microbiome) and age-related diseases (particularly cardiovascular diseases, Alzheimer's disease and metabolic syndrome). The interplay between MD and the gut microbiome or physical activity impacting healthy aging has been the recent hotspot and research frontier.

This study quantitatively and objectively described the research status and research focus of the impact of MD on aging, which provides reference for future research in this field.

Age-related macular degeneration (AMD) is a multifactorial retinal disease influenced by complex molecular mechanisms, including genetic susceptibility, inflammation, oxidative stress, and metabolic dysregulation. While substantial progress has been made in understanding its pathogenesis, the full molecular underpinnings of AMD remain unclear, impeding the effectiveness of current therapeutic strategies. This study provides an in-depth exploration of the molecular interactions involved in AMD progression, particularly focusing on genetic predispositions (such as CFH, ARMS2/HTRA1, and APOE), inflammatory pathways (including complement system dysregulation and cytokine responses), lipid metabolism (e.g., cholesterol homeostasis and drusen formation), and angiogenesis (VEGF signaling). Through a systematic review and bibliometric analysis of literature published between 2015 and 2025, the study identifies emerging research trends, existing gaps, and promising future therapeutic directions. It further investigates innovative precision medicine approaches, including gene editing (CRISPR), RNA therapeutics (siRNA, antisense oligonucleotides), immunomodulatory therapies, and nanotechnology-based drug delivery systems. Additionally, the study examines the role of metabolic disorders such as diabetes and dyslipidemia in AMD progression, highlighting the influence of systemic health factors on disease onset. Finally, the potential of artificial intelligence (AI) in enhancing AMD management through biomarker-based risk stratification, predictive modeling, and personalized treatment optimization is assessed. By mapping the intricate molecular networks underlying AMD and evaluating novel therapeutic strategies, this research aims to contribute to the development of more effective, individualized treatment protocols for patients with AMD.

With the rapid development of digital biomarkers in Parkinson disease (PD) research, it has become increasingly important to explore the current research trends and key areas of focus.

This study aimed to comprehensively evaluate the current status, hot spots, and future trends of global PD biomarker research, and provide a systematic review of deep learning models for freezing of gait (FOG) digital biomarkers.

This study used bibliometric analysis based on the Web of Science Core Collection database to conduct a comprehensive analysis of the multidimensional landscape of Parkinson digital biomarkers. After identifying research hot spots, the study also followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) guidelines for a scoping review of deep learning models for FOG from 5 databases: Web of Science, PubMed, IEEE Xplore, Embase, and Google Scholar.

A total of 750 studies were included in the bibliometric analysis, and 40 studies were included in the scoping review. The analysis revealed a growing number of related publications, with 3700 researchers contributing. Neurology had the highest average annual participation rate (12.46/19, 66%). The United States contributed the most research (192/1171, 16.4%), with 210 participating institutions, which was the highest among all countries. In the study of deep learning models for FOG, the average accuracy of the models was 0.92, sensitivity was 0.88, specificity was 0.90, and area under the curve was 0.91. In addition, 31 (78%) studies indicated that the best models were primarily convolutional neural networks or convolutional neural networks-based architectures.

Research on digital biomarkers for PD is currently at a stable stage of development, with widespread global interest from countries, institutions, and researchers. However, challenges remain, including insufficient interdisciplinary and interinstitutional collaboration, as well as a lack of corporate funding for related projects. Current research trends primarily focus on motor-related studies, particularly FOG monitoring. However, deep learning models for FOG still lack external validation and standardized performance reporting. Future research will likely progress toward deeper applications of artificial intelligence, enhanced interinstitutional collaboration, comprehensive analysis of different data types, and the exploration of digital biomarkers for a broader range of Parkinson symptoms.

Open Science Foundation (OSF Registries) OSF.IO/RG8Y3; https://doi.org/10.17605/OSF.IO/RG8Y3.

ObjectiveIschemic optic neuropathy (ION) is one of major causes of blindness or severe visual impairment. However, controversies persist regarding its pathogenesis, clinical features and management. This study aimed to conduct a bibliometric analysis to provide an assessment of current status and emerging trends in the field of ION.MethodsPublications spanning from January 2014 to Jun 2024 were retrieved, using the Web of Science Core Collection. Bibliometric and visualized analyses were performed employing the bibliometrix, CiteSpace and VOSviewer.ResultsA total of 776 papers met the inclusion criteria and a fluctuated publication trend was observed. The United States was the leading country. Research topics in ION field encompassed non-arteritic anterior ION (NAION), optical coherence tomography angiography, neuroprotection, optical coherence tomography, spine surgery, giant cell arteritis (GCA), optic disc diameter, peripapillary hyperreflective ovoid mass-like structures, vaccination, and branch retinal vein occlusion, based on the co-citation references analysis. The keywords "COVID-19", "oxidative stress", "inflammation" and "optic neuritis" experienced burst lasting until 2024.ConclusionDuring the past decade, advancements in in vivo imaging techniques are continually enhancing our understanding of the pathogenesis of ION and facilitating accurate diagnosis. NAION has been a prominent research topic, covering its pathogenesis, clinical features, and management. Studies on arteritic ION and GCA have garnered widespread attention, especially due to advances in treatments. Future research is warranted to identify standardized therapies for non-arteritic ION, potentially incorporating neuroprotective agents, and to formulate steroid-sparing treatment strategies aimed at preventing vision loss in arteritic ION, rather than merely addressing GCA.

Chimeric antigen receptor T cell (CAR-T) therapy is an innovation in oncology, which provides targeted treatment alternatives for certain tumors. CAR-T therapy has been associated to adverse cardiovascular consequences despite its potential for therapeutic benefit. As research in this field expands rapidly, a bibliometric study is needed to map the current state of knowledge and highlight emerging areas of interest to guide future studies and optimize patient outcomes.

A comprehensive bibliometric analysis was conducted using the Web of Science Core Collection and PubMed to examine the literature on CAR-T cell therapy and its cardiovascular implications.

The annual number of publications on CAR-T therapy and cardiovascular symptoms has steadily increased, experiencing a significant surge starting in 2018. The USA, China, and Germany emerged as the leading contributors. Key journals included Frontiers in Immunology and Blood, while highly cited journals were Lancet Oncology and the Journal of Clinical Oncology. Keyword analysis identified multiple myeloma, immunotherapy, and cytokine release syndrome as major research themes. The clustered map highlighted interconnected research areas, with a significant focus on multiple myeloma, combination therapy, cardiovascular magnetic resonance assessment, and novel therapeutic approaches.

This bibliometric analysis provided a detailed overview of the research landscape on CAR-T cell therapy and its cardiovascular implications, identifying trends and gaps in knowledge. Recent research trends highlighted bispecific antibodies, CAR-T cell therapy, cardiovascular events, lymphoma, management, and outcomes as emerging focus areas. These keywords underscore the developing field of cardiac events, management, and outcomes in patients undergoing CAR-T cell therapy.

TRNA-derived small RNAs(tsRNAs) play an important role in many biological processes, and their dysregulation is closely related to the progression of cancer, but the research trend and future direction are not clear. This study aims to identify the leading contributors, collaboration networks, and emerging research trends in tsRNAs and their role in oncology, providing a more comprehensive and intuitive reference for researchers in this field.

Related publications related to tsRNA in the field of oncology from 1990 to 2022 were collected from the Science Citation Index Expanded through the Web of Science Core Collection (WOSCC) database on 6 December 2022.

There were 2,108 publications related to tsRNAs in oncology. The articles came from 69 countries/regions, 2,218 institutions, 11,340 authors, and 200 journals, and included 9,530 keywords. The annual total number of papers and total global citation score increased steadily every year over the study period. Among the articles related to tsRNAs in oncology, the United States had the highest number of publications with 732 articles, and the United States, China, Japan, Canada, and South Korea had the highest number of collaborations. Seoul National University Sun and the journal Nucleic Acids Research had the most publications at 81 and 63 articles, respectively, and the keyword "tRF" was a hotspot.

This study provides an in-depth analysis of the research status and development trends of tsRNAs in the field of cancer from a bibliometric perspective. Offering possible guidance for researchers to explore hot topics and frontiers, select suitable journals, and partners in this field.

Recurrent spontaneous abortion (RSA) represents a significant challenge in obstetrics and reproductive medicine. Causative factors in 40%-50% of RSA couples remain unknown, a condition termed unexplained recurrent spontaneous abortion (URSA). This study employed bibliometric analysis to elucidate global research trends and identify key areas of interest in URSA.

We utilized the Web of Science Core Collection (WoSCC), including Science Citation Index Expanded (SCI-EXPANDED) and Social Sciences Citation Index (SSCI), as our data source. Our search encompassed all publications on URSA published between 1 January 2014 and 30 October 2024. Following rigorous removal of duplicates, we retained 586 relevant publications, including 532 original articles and 54 reviews. We conducted bibliometric analysis using CiteSpace, VOSviewer and Microsoft Excel.

Analysis of annual publications and their citations demonstrated significant growth over the last 10 years. China, the United States and Iran emerged as the most productive countries in the field. Author distribution indicated the absence of a cohesive core author group, suggesting a dispersed research community. The top five cited publications included one prospective observational study, one randomized controlled trial, two reviews, and one immunohistochemistry study, focusing on the etiology, interventions, and therapies of URSA. Keyword cluster analysis identified six categories, with the top three keywords being "expression," "polymorphisms," and "regulatory T-cells."

This bibliometric analysis reveals three key research domains over the last decade in URSA: immunological mechanism and therapies, genetic mechanism, and anticoagulation therapies. While these areas have advanced our understanding, limitations persist in etiological heterogeneity and therapeutic inconsistencies. Future studies should prioritize rigorous multicenter trials with phenotypic stratification, and multi-omics approaches for mechanistic insights. Enhanced global collaboration and interdisciplinary integration are essential to transition from empirical management to evidence-based precision medicine in URSA.

Transcranial ultrasound stimulation (TUS) is a non-invasive neuromodulation technique with promising clinical potential. Its therapeutic efficacy and safety are significantly influenced by stimulation parameters. However, the global research hotspots and future research trends of TUS application in the field of rehabilitation are unclear. This study analyzes the status of TUS research. Understand the annual publication trends, international and institutional cooperation pattern and influential authors and journals and keyword hotspot.

A comprehensive literature search was conducted on the Web of Science core database using TUS-related subject headings until 27 December 2024. Two researchers independently screened articles based on pre-determined inclusion and exclusion criteria. Software packages such as CiteSpace and VOSviewer were used to visualize the results.

A total of 577 literatures were included. The results show that the annual publication volume shows an increasing trend, reaching a peak in 2024. The United States, China and Germany dominated the number of publications, with the largest number of institutions being Harvard University, the University of Toronto and Brigham and Women's Hospital. Brain stimulation is the journal with the most articles and citations. Research hotspots include transcranial magnetic stimulation, noninvasive brain stimulation, Parkinson's disease, and Alzheimer's disease.

A bibliometric analysis of the literature shows that research interest in transcranial ultrasound stimulation is growing rapidly, with annual publications growing exponentially since 2013 and receiving increasing attention from researchers. The findings suggest that TUS is currently used primarily in neurological diseases, particularly in the study of Parkinson's disease and Alzheimer's disease. At the same time, it is found that an emerging international cooperation model with the partnership between the United States, China and Germany as the core has gradually taken shape. Although preclinical studies have shown promising neuromodulator effects, the current study suggests that TUS needs to undergo further multicenter clinical validation. These findings provide evidence to guide future research priorities for non-invasive neuromodulation.

Ovarian cancer (OC) is a common malignant tumor in women, with poor prognosis and high mortality rates. Early diagnosis, screening, and prognostic prediction of OC have long been focal points and challenges in this field. In recent years, machine learning (ML) has gradually demonstrated its unique advantages in the early diagnosis, screening, and prognostic prediction of tumors, including OC.This study aims to analyze global development trends and research hotspots in the application of ML for OC, thereby providing a reference for future research directions.

We searched the Web of Science Core Collection (WoSCC) for all publications related to OC and ML from 2004 to 2024, conducting a quantitative analysis using VOSviewer, R software, and CiteSpace.

A total of 777 articles were retrieved.The number of publications related to ML and OC has grown continuously over the past 20 years.China led with 254 articles.The most prominent journals include Gynecologic Oncology, Nature, Clinical Cancer Research, Cancer Research, and Journal of Clinical Oncology.Research hotspots are: (a) ML-driven OC biomarker discovery and personalized treatment; (b) ML in tumor microenvironment analysis and resistance prediction; (c) ML in imaging-based diagnosis and risk stratification; (d) ML in multicenter OC studies.

ML in OC is currently in a developmental phase and shows promising potential for the future. This study provides researchers and clinicians with a more systematic understanding of research priorities and forthcoming developments in this area.

Although there are many challenges in using nanobodies for treating various complex tumor diseases, including rapid renal clearance and the complex blood-brain barrier environment, nanobodies have shown great potential due to their high antigen affinity, excellent tumor penetration ability, and favorable safety profile. Since the discovery of the variable domain (VHH) of camelid heavy-chain antibodies in 1993, nanobodies have been progressively applied to various cancer therapy platforms, such as antagonistic drugs and targeting agents for effector domains. In recent years, several nanobody-based drugs, including Caplacizumab, KN-035, and Ozoralizumab, have been approved for clinical use. Among them, KN-035 is used for treating advanced solid tumors, and these advancements have propelled nanobody development to new heights. Currently, nanobodies are being rapidly applied to the treatment of a wide range of diseases, from viral infections to cancer, demonstrating strong advantages in areas such as targeted protein degradation, bioimaging, nanobody-drug conjugation, bispecific T-cell engagers, and vaccine applications. Bibliometric tools, including CiteSpace, HisCite Pro, and Alluvial Generator, were employed to trace the historical development of nanobodies in cancer research. The contributions of authors, countries, and institutions in this field were analyzed, and research hotspots and emerging trends were identified through keyword analysis and influential articles. Future trends were also predicted. This study provides a unique, comprehensive, and objective perspective on the use of nanobodies in tumor research, laying a foundation for future research directions and offering valuable insights for researchers in the field.

Causal inference in clinical medicine provides scientific evidence for precision medicine and individualized treatment by revealing the true associations between interventions and health outcomes. This study aims to conduct a comprehensive bibliometric analysis to identify current research trends, primary themes, and future directions for the application of causal inference in clinical medicine.

We conducted a literature search in the Web of Science database using causal inference and medical terminology as subject keywords, covering the period from January 1986 to December 2024. After screening, we obtained 4,316 documents for analysis. Utilizing CiteSpace to generate network diagrams, we analyzed data related to the number of publications, citation analysis, collaboration relationships, keyword co-occurrence, and highlighted terms to illustrate the knowledge map and collaboration network in this field.

Publications on medical causal inference shows a fluctuating growth trend over time. The United States was the top contributors to this field. Harvard University is the leading research institution. George David Smith is the most prolific author, Robbins JM is the most cited scholar. The major research hotspots concentrated in fields such as epidemiology, coronary heart disease and health. Notably, marginal structural models, counterfactual forecasting, and Mendelian randomization have consistently been key methodologies in research. The burstness of keywords reveals that big data, DNA methylation, and robust estimation are emerging research directions.

In clinical research, counterfactual forecasting provides prospective guidance for optimizing clinical strategies; Mendelian randomization helps uncover potential therapeutic targets; and marginal structural models enhance the accuracy of causal effect estimation in clinical studies. The future integration of various data sources to improve causal inference methods is anticipated to enhance the sensitivity and specificity of trials, ultimately elucidating the complex mechanisms of diseases and drug effects. The literature retrieve strategy and the metrics of the tools adopted may have a certain impact on the results of this study.

Ferroptosis is a regulated form of cell death characterized by iron dependency, lipid peroxidation, and oxidative stress. Since its discovery in 2012, ferroptosis has attracted significant interest for its potential to counteract tumor resistance across various therapeutic modalities, including chemotherapy, radiotherapy, immunotherapy, and targeted therapy. Despite notable progress, a systematic understanding of its underlying molecular mechanisms and translational potential remains underdeveloped, thus necessitating a comprehensive bibliometric analysis.

We employed bibliometric tools, including VOSviewer, CiteSpace, and bibliometric.com, to analyze 2,663 articles related to ferroptosis and tumor resistance indexed in the Web of Science Core Collection from 2014 to 2024. The analysis included co-occurrence, co-citation, and clustering techniques to explore trends, influential keywords, prominent journals, leading institutions, and key contributors. Citation burst detection and temporal analysis were used to uncover emerging research hotspots and track the field's evolution.

Over the past decade, the volume of publications in this field has grown rapidly, with China and the United States leading in both research output and academic influence. Notable institutions such as Central South University and Fudan University contributed significantly, while Kang Rui and Tang Daolin emerged as prolific authors. Key research hotspots identified include oxidative stress, tumor microenvironment, and nanomedicine, with emerging themes such as immunotherapy and autophagy gaining prominence. Temporal trends indicated a shift from mechanistic studies toward translational applications, emphasizing the integration of ferroptosis in clinical strategies to address tumor resistance.

This bibliometric analysis highlights ferroptosis as a rapidly evolving field with significant contributions to understanding tumor resistance mechanisms. The identification of emerging themes and promising research directions offers valuable insights for future investigations and clinical applications of ferroptosis in overcoming tumor resistance.

Rapid urbanization has increasingly restricted children's access to natural environments, raising concerns about potential consequences for their physical, mental, and social well-being. Urban green and blue spaces are known to offer significant health benefits, including physical activity promotion, psychological restoration, and social development.

This study conducted a comprehensive bibliometric analysis to examine the relationship between urban green/blue spaces and children's health. A total of 575 relevant publications from 1981 to 2024 were retrieved from the Web of Science database. CiteSpace and VOSviewer were used for keyword co-occurrence analysis, co-citation mapping, and burst detection to visualize research trends and thematic evolution.

Three major research phases were identified: (1) early focus on physical health outcomes, (2) a shift toward urban environmental contexts, and (3) emerging emphasis on sustainability, environmental quality, and walkability. While green spaces have been extensively studied, blue spaces remain underrepresented, especially in terms of their synergistic benefits when combined with green spaces. Key research themes include mental and physical health impacts, social skills development, and the educational functions of nature exposure.

This study reveals the interdisciplinary and collaborative nature of current research and emphasizes the importance of ensuring equitable access to high-quality natural environments in urban areas. The findings offer practical implications for urban planners and policymakers and establish a research foundation for promoting sustainable urban development that supports children's health and well-being.

This study aims to conduct a bibliometric analysis of global publications on the application of artificial intelligence (AI) in high myopia (HM).

We retrieved publications on AI in HM from the Web of Science Core Collection (WoSCC) database, MEDLINE and Chinese Science Citation Database (CSCD) with data up to 2024. The analysis focused on publication and citation trends, identifying key articles, influential countries, institutions, authors, and journals. Additionally, we explored research domains and emerging keywords.

A total of 167 relevant publications were included. The first AI-related paper on HM was published in 2017, with a significant surge in 2021, followed by a consistent increase in publication and citation counts over the next 3 years. China emerged as the most productive country, with the most extensive international collaboration. East Asian authors dominated the top 10 most influential authors. Yang, Weihua and Investigative Ophthalmology & Visual Science (IOVS) contributed the most publications among authors and institutions, respectively. Keyword analysis revealed that retinal imaging-related terms remained a consistent research focus, while newly emerging keywords included "automated detection" and "childhood."

Recent advancements in AI applications for HM have been significant and are expected to continue. Future research will likely focus on multimodal imaging and improving algorithm accessibility. Our findings offered the first comprehensive overview of global research on AI in HM, thus providing valuable insights for researchers to understand the current status and future trends in this field.

Nucleic acid probes, which are short sequences of nucleic acids designed to complement specific DNA or RNA targets, have broad applications in biosensing, genetic studies, and various other fields. In tumor diagnosis and treatment, nucleic acid probes offer a precise and accessible approach that is essential for improving patient care and quality of life. Despite substantial research on nucleic acid probes over the past three decades, few comprehensive reviews have retrospectively examined the field.

This study extracted 30 years of nucleic acid probe-related research articles from the Web of Science Core Collection database. We used CiteSpace, VOSviewer, and R tools to systematically analyze the field's current status and developmental trends, with an emphasis on applications in oncology.

Our findings indicate a continuous growth trend in nucleic acid probe research, with the United States and China, along with their leading institutions and authors, making the most significant contributions. In oncology specifically, nucleic acid probe research has focused primarily on signal amplification, liquid biopsy, and drug delivery. The emergence of novel biomarkers and assay techniques has been a pivotal factor driving advancements in this field.

Nucleic acid probes show strong potential for applications in tumor precise diagnosis and treatment. Continued innovation and closer interdisciplinary collaboration will be vital for further advancements, while large-scale clinical studies are needed to validate their clinical utility.

Numerous studies have highlighted a link between COVID-19 and respiratory allergic conditions such as asthma and allergic rhinitis (AR). Despite the growing volume of research, there remains a notable gap in the form of a comprehensive bibliometric analysis that consolidates the findings on this association. This study aims to fill that gap by systematically exploring how asthma and AR interact with COVID-19.

By using the Web of Science Core Collection, we selected publications from January 2020 to October 2024 that related to COVID-19 and asthma/AR. Analysis tools such as VOSviewer and CiteSpace were employed to perform network mappings and citation analyses, focusing on co-authorship networks, keyword co-occurrences, and citation impacts to understand the research dynamics and collaborative patterns within this field.

A collection of 553 publications was obtained, revealing an upward trend in research volume over the study period. The United States, China, and the United Kingdom were predominant in the research output, demonstrating extensive international collaborations. The study highlighted key areas of impact, such as the influence of asthma types on COVID-19 severity and the protective effects of specific treatments like inhaled corticosteroids and biologics. Emerging trends identified included the significance of socioeconomic factors and obesity in disease outcomes, as well as evolving strategies in vaccination and interventions.

This bibliometric analysis highlights the significant role of global research in exploring the interactions between COVID-19 and asthma/AR. It points out the reported safety and effectiveness of COVID-19 vaccines for these conditions and acknowledges the challenges in vaccine uptake among minority and socioeconomically disadvantaged groups. The study also identifies unique risks for children and obese patients during the pandemic and underscores the need for increased international collaboration and more comprehensive clinical trials, to evaluate the efficacy of treatments like inhaled corticosteroids and biologics.

BackgroundAlzheimer's disease (AD) is characterized by amyloid-β plaques and tau aggregates, with autophagy dysfunction playing a key pathogenic role. While autophagy modulation shows therapeutic promise, comprehensive bibliometric analyses are lacking.ObjectiveThis study aims to map the research landscape of autophagy in AD through bibliometric analysis, identifying key trends, contributors, and emerging focus areas.MethodsWe analyzed 4018 publications (2003-2023) from Web of Science using VOSviewer and CiteSpace. Publication trends, influential authors, countries, institutions, and research hotspots were examined through co-occurrence, burst detection, and clustering analyses.ResultsAnnual publications have steadily increased, peaking in 2022. The US led in output and citations, with major contributions from the University of California and New York University. Ralph A. Nixon emerged as the most influential author. Early research (2003-2013) primarily focused on protein degradation mechanisms, whereas recent studies (2014-2023) emphasize mitochondrial dysfunction, apoptosis, and related pathways. Key evolving topics include endoplasmic reticulum stress and chaperone-mediated autophagy, with significant implications for therapeutic innovation.ConclusionsAutophagy plays a critical role in AD pathogenesis and represents a promising therapeutic target. Despite mechanistic advances, clinical translation remains challenging. Future research should prioritize multi-omics integration, drug delivery optimization, and managing risks associated with excessive autophagy activation. These findings provide valuable insights for developing novel AD therapies targeting autophagy.

Type 2 diabetes mellitus (T2DM) is estimated to impact 693 million individuals globally by 2045. Diabetes remission has the potential to slow disease progression, alleviate psychological burdens, minimize complications, and improve quality of life. We aimed to perform a bibliometric analysis of research on T2DM remission. We searched the Web of Science (WoS) database to identify relevant publications on T2DM remission during 2002 to 2022. Research trends and hotspots in T2DM remission were analyzed using Bibliometrix R and CiteSpace. The analysis considered various factors such as publication year, authors, journal, institution, country/region, themes, thematic evolution, keywords, and keyword bursts. The WoS search yielded 2254 articles. The annual scientific output has consistently increased. Lee was the most prolific author (48 papers). Obesity surgery was the leading journal (296 publications), while diabetes care had the highest h_index (43). The University of Copenhagen was the most active institution (116 papers). The most productive countries were the US (476), China (347), the UK (180), Italy (121), and Japan (90). The top 3 keywords were "bariatric surgery," "weight loss," and "remission." From 2013 to 2015, the usage of the term "medical therapy" significantly surged, lasting for 3 years. The term "GLP-I receptor agonists" also had a lasting burst. In the past 5 years, "weight loss" and "low-calorie diets" have emerged as prominent areas of research. This study analyzed the research trends and key factors in the field of type 2 diabetes mitigation through bibliometrics, providing important data support and a basis for decision-making for future research and public health policies.

Osteoarthritis (OA) is one of the common chronic arthritis in middle-aged and elderly people, but the effect of lipid metabolism on OA is still unclear. The aim of this study was to explore the value of lipid metabolism markers as emerging biomarkers for assessing OA disease activity. The literature on OA and lipid metabolism indicators was extensively analyzed by bibliometric. Correlation analysis was used to analyze the correlation between lipid profile indicators (total cholesterol; triglycerides [TG]; high density lipoprotein cholesterol [HDL-C]; and low density lipoprotein cholesterol) and immunoinflammatory indicators (high sensitivity C-reactive protein; erythrocyte sedimentation rate [ESR]) in patients with OA as well as the disease activity level (visual analog scale (VAS). Logistic regression modeling was used to calculate univariate and multivariate factors of disease activity. A total of 843 papers were retrieved. China and the United States are the 2 most productive countries in this field, and the United States has the highest H-index. In addition, Osteoarthritis and Cartilage is the most published journal. OA lipid metabolism research has long focused on inflammation, lipid metabolism, and pain. The levels of inflammation (ESR, high sensitivity C-reactive protein) and lipid metabolism indicators (total cholesterol; TG, HDL-C) were significantly increased in OA patients. Inflammation indicators were significantly correlated with lipid metabolism indicators. In addition, HDL-C, ESR, and TG were identified as independent influencing factors for OA-VAS. In summary, the role of lipid metabolism in OA has been a hot topic. Markers of inflammation and lipid metabolism were independent influencing factors of OA-VAS.

Obstructive sleep apnea (OSA) patients exhibit neurological symptoms, driving research in sleep medicine and clinical neurology. Neurologists and radiologists explore detection methods to identify unique neural features associated with OSA in the atypical nervous system. Neuroimaging research in OSA encompasses studying the structural, functional connectivity (FC), and neurometabolic aspects of the brain. Limited resources and OSA's heterogeneity pose challenges to effective neuroimaging research. This study aims to conduct a bibliometric analysis of OSA neuroimaging research to identify key trends and emerging themes.

This research utilizes various techniques, including functional MRI, structural MRI, diffusion tensor imaging, magnetic resonance spectroscopy, and electroencephalography, among others. Publications from 1993 to 2023 were retrieved from Web of Science on neuroimaging. Analysis tools included Bibliometric.com, CiteSpace, VOSviewer, and R4.3.2.

A total of 714 papers were published in 47 countries, with 651 articles, 55 reviews, and 8 meeting abstracts. The USA led in publications, with the University of California System contributing most, primarily in "Sleep" journal. The study identified 2916 authors, with Macey PM having the highest publication count. Recent years highlighted burst keywords such as network, classification, sleep staging, FC, and brain activity. Analysis of keyword clusters revealed "electroencephalography" with the longest temporal duration.

Neuroimaging in OSA research has gained increased attention. Incorporating behavioral sleep medicine insights could enhance understanding of OSA's impact on brain function and behavior. This study aims to assist researchers in identifying potential collaborators, institutions, and key themes, providing a comprehensive perspective on OSA neuroimaging research and related sleep disorders.

Soil contamination by heavy metals is a global environmental challenge, poses a serious risk to plant life, human health, and global food supply. In recent years, advanced and effective remediation strategies for heavy metal-contaminated soils have developed rapidly, and a systematic summarization of this progress is important. Based on 2822 bibliographic data (2014-2023) acquired from the Web of Science Core Collection, the research status, hotspots and trends of heavy metal-contaminated sites worldwide had been synthetically analyzed in scientometrics. The results showed that China, India, and the USA were the most active countries in related research, and the main research subjects were the assessment of contaminated sites and remediation methods. The keywords showed 3 co-occurrence clusters, focusing on site characterization, phytoremediation and physical-chemical remediation. The time zone view shows a multidisciplinary amalgamation tendency particular in methods such as using artificial intelligence and remote sensing to predict spatial distribution and migration characteristics of heavy metals. Regarding the types of contaminated sites, the most frequently studied are mining sites and industrial waste sites. Among heavy metals, Cd, Pb, and Zn are the most commonly studied pollutants. The heavy metal contamination in soil, ranked by the geo-accumulation index, is as follows: Cd (5.91) > Pb (4.12) > Zn (3.73) > Cu (2.37) > Cr (1.85) > Ni (1.34). In terms of remediation technologies, the frequency of utilization is ranked as follows: phytoremediation > microbial remediation > soil washing > electrokinetic remediation > oxidation reduction > solidification/stabilization > thermal desorption > soil replacement. Additionally, phytoremediation and soil washing are the most effective technologies for removing Cd, Pb, and Zn. The insights derived from this study contribute to a deeper understanding of the state-of-the-art in this field and help to develop/select applicable methods for the effective remediation of heavy metal-contaminated sites.

Silkie chickens are a unique breed renowned for their pigmentation, food and medicine homology properties, and distinctive appearance, making them highly valuable in exhibitions, as pets, in medicinal cuisine, and as a model for melanin research. Despite their vast potential, the growing volume of publications and patents related to Silkie chicken highlights the critical need for systematic organization, summarization, and analysis of this wealth of information. For the first time, this study employs bibliometric tools to summarize and analyze 114 years of research on Silkie chicken. Our study demonstrates that academic studies primarily focus on their nutritional value, melanin production, and genetic mechanisms, while patents emphasize food formulations, breeding methods, and purebred identification. Although there has been significant growth in publications and citations since 2001, international collaboration remains limited. This study presents the need for integrated and multidisciplinary research to unlock the full potential of Silkie chicken and provides a foundational framework for future studies and applications.

Toxoplasmosis, caused by Toxoplasma gondii, is a widespread parasitic infection with significant health impacts, especially in immunocompromised individuals. Chemotherapy remains the main treatment, but current therapies are limited by side effects and contraindications. This bibliometric analysis reviews research from 2015 to 2024 to identify key trends and future directions for T. gondii chemotherapy. We used the Web of Science Core Collection database to identify original articles on chemotherapy and T. gondii published in the last ten years. After screening, the data was transferred to visualization tools, including VOSviewer, Bibliometrix, and CiteSpace, for comprehensive analysis. Our analysis covered 433 articles from 164 journals, authored by 2,346 researchers from 577 institutions across 48 countries. China, Egypt, the USA, Iran, and Brazil made the largest contributions in terms of both publications and citation counts. Leading authors based on publication output include Andrew Hemphill (University of Bern, Switzerland), Ahmad Daryani (Mazandaran University of Medical Sciences, Iran), and Chunmei Jin (Yanbian University, China). The highest citation counts were attributed to Andrew Hemphill, Wesley Van Voorhis (University of Washington, USA), and Kayode Ojo (University of Washington). Key journals shaping this area include Experimental Parasitology, Parasitology Research, and Antimicrobial Agents and Chemotherapy. The most-cited article is from the Journal of Medicinal Chemistry, describing a novel inhibitor of Calcium-Dependent Protein Kinase 1 (CDPK1) as a promising toxoplasmosis treatment. Emerging topics include nanocarrier-based delivery systems and natural product derivatives. This study offers a comprehensive overview and visual analysis of chemotherapy and T. gondii, highlighting key areas for future research.

Oral submucous fibrosis (OSF) is a chronic progressive fibrosis of oral mucosa, with the possibility of eventually progressing to oral cancer, remaining unclear pathogenesis, and a lack of targeted therapies. This study aims to analyze current research progress from a bibliometric perspective to guide the way forward.

Documents in the Web of Science Core Collection database from 1999 to August 31, 2023 were thoroughly searched using a given query. After selection, years of publishing, countries, institutions, authors, journals, and keywords were analyzed using bibliometric software.

The bibliometric results of 1522 documents show that India and China were the most productive countries in this field. Central South University has published the most papers. The Journal of Oral Pathology & Medicine and Oral Oncology were the leading journals. Betel nut, oral cancer, malignant transformation, and fibroblast were the main focuses during recent study periods. We also analyzed differences between studies in betel chewing and nonchewing areas. Notably, scholars pay more attention to the pathogenesis of OSF in the former, while the relationship between OSF and cancer is more concerning in the latter, such as in the United Kingdom and the United States.

Findings from this study provide an overview of the current research and reveal the future hotspot of the OSF research. It suggests that exploring the pathogenesis and mechanisms of malignant transformation in OSF will be a focal point in future research. Advancements in the prevention and treatment of OSF could significantly enhance patients' quality of life and reduce mortality associated with oral cancer.

BackgroundMoral courage is a recognized virtue. Researchers have focused on various aspects of nursing moral courage, such as its conceptualization and influencing factors. Within these studies, various literature reviews have been conducted, but to our knowledge, bibliometric mapping has not been utilized.AimThis article aims to analyze the production of literature within nursing moral courage research.Research DesignTo investigate publication patterns, we employed VOSviewer and CiteSpace software, focusing on publication dynamics, prolific research entities, and most cited articles. Additionally, we forecasted future research trends.Ethical considerationsIn our study, ethical review was not required.ResultsA total of 105 information sources were identified in the WoS database. Overall, there has been a significant increase in research volume after 2020. The most prolific countries are the United States, Finland, and China, while the most prolific source title is "Nursing Ethics." Keywords are also related to moral dilemmas and ethics. However, there are further improvements needed in international cooperation.ConclusionsThe results proposed in this paper can serve as a starting point for comprehensive or systematic literature reviews and seek more detailed data, information, and knowledge in the field of nursing moral courage. It can enable outsiders to quickly understand research on nursing moral courage, whether for in-depth exploration or simply to facilitate more effective collaboration with nursing ethics experts.

 Guided tissue regeneration (GTR) is a widely used technique in contemporary dentistry which helps achieve regeneration of periodontal tissues. This study aims to identify leading countries, authors, institutes, journals, scientific publications, and mostly used keyword regarding role of GTR in treatment for periodontal disease using the Scopus database.

 A well-curated search through Scopus database for significant literature related to GTR published between 1987 and 2023 was performed. Bibliographical data which comprised of abstracts, title, keywords, references, citations, and other relevant information were composed. The data was analyzed using MS Excel and VOSviewer.

 Scientific literature on GTR was manually scrutinized, and 308 paper were analyzed using the Scopus database. The first paper on GTR was published in 1987. Journal of Periodontology was identified as the leading journal, while the United States and Italy were the top contributing countries. University of Sienna was the most productive organization. Roberto Pontoriero was identified as the highly cited author. A highly cited scientific paper was published by Pintippa Bunyaratavej in 2001.

 The present bibliometric study gives useful information related to the total number of scientific articles published from 1987 to 2023. A rising trend of scientific publication was identified which continued followed by a notable decline after 2004. The analysis also recognized the United States and University of Sienna, from Italy as most active country and organizations, while the Journal of Periodontology as the leading journal.

 This study may assist in continuing education and evidence-based practice for clinicians and new researchers by providing knowledge and aiding literature searches in the domain of GTR used in treatment for periodontal conditions.

Critical infrastructure systems (CISs) are the cornerstone of modern cities. Substantial economic losses and social impacts are caused once natural disasters or man-made disruptions attack the CISs. As a "resilient city" has become an essential theme of communities' sustainable development, research on resilience and its practice in industries boost the CISs' capacity to respond and adapt to changing environments. From the Web of Science (WOS) Core Collection, this study screened 1,247 scientific articles related to resilience in CISs and conducted a bibliometric analysis to investigate the evolution and future potential in this field. Topic visualized networks were constructed for CIS resilience using CiteSpace, a dedicated tool for visualizing and analyzing trends and patterns in scientific literature. The results demonstrate collaborative research networks among countries, institutions, main scholar/group networks, and leading journals publishing CIS resilience work. This study also explained how the research interest evolved over the last 20 years and found the current frontiers pointing to "power systems resilience" and "supply chain resilience." The reasons were discussed subsequently from the perspectives of the influence that natural hazards (based on the EM-DAT data) and government policies have upon CISs' resilience work.

Pulmonary metastasis frequently complicates osteosarcoma, making the investigation of its mechanisms and therapeutic strategies a focal point in both clinical medicine and biosciences. The explosive growth of the relevant literature has still not been systematically sorted out and summarized.

Bibliometric methods were used in this study, Literature was retrieved from the Web of Science Core Collection, SCOPUS, and PubMed up until July 1, 2024. Bibliometric indicators were analyzed and research trends and hotspots in the field visualized using the Bibliometrix package, VOSviewer 1.6.19 and Citespace 6.3.R1 software.

A total of 1148 publications were reviewed, revealing that over the past five decades, the cumulative number of publications on pulmonary metastasis of osteosarcoma has gradually increased. China leads in the number of published papers, while the United States exhibits the most collaborative relationships with other countries. Italy is noted for the highest quality of research. Sun Yat-sen University is the most prolific institution, and the most productive author is Eugenie S. Kleinerman from the University of Texas MD Anderson Cancer Center. "Cancer" is the journal with the most publications, and Zhou Yan's 2020 paper received the highest local citations. Keywords such as "angiogenesis," "tumor microenvironment," and "surgery" appeared frequently, suggesting these topics are current research hotspots.

"Immunotherapy", "survival", "chemotherapy", "prognosis", "biomarkers", "metastasectomy", "microRNA", "angiogenesis", "tumor microenvironment", and "surgery" define key research areas. Current hot topics include tumor-associated macrophages and the tumor microenvironment, which may hold the key to future therapeutic breakthroughs.

Rheumatic disease is a kind of disease dominated by inflammatory lesions of connective tissue and abnormal immune function. It mostly belongs to autoimmune diseases or connective tissue diseases affecting multiple organs. Meanwhile, understanding the role of RNA-binding proteins (RBPs) in pathogenesis is rapidly developing. This study aims at summarizing the hotspots in rheumatology studies related to RBPs.

Scientific papers on RBPs related to rheumatology between 1982 and 2022 were gathered from the Web of Science database. The data analysis and visualization were obtained using the Bibliometrix package. Bibliometrix package was used to analyze bibliometric indicators and visualize the trends and hotspots of the research.

A total of 964 articles met the requirement. From 1982 to 2022, the USA and Anhui Medical University were the most productive country and institution, respectively, in this field. Arthritis and Rheumatism, Annals of the Rheumatic Diseases and Arthritis & Rheumatology were the top three periodicals obtained by Bradford's law. Co-word analysis divided the keywords into three clusters, focusing on diagnosis and classification of Systemic Lupus Erythematosus, pathogenesis of osteoarthritis and pathogenesis of Rheumatoid Arthritis, respectively. Trend topic analysis revealed that pathogenesis and classification of rheumatic diseases might be the research trend.

Focusing on RBPs in rheumatic diseases, we illustrated the evolution of this field and predicted future research hotspots. The research trend topics have evolved towards clinical classification and pathogenesis at the molecular and genetic level. The pathogenic mechanism in rheumatic diseases will continue to be a hotspot in the future. Besides, the classification of Systemic Lupus Erythematosus patients may be another hotspot. Researchers are recommended to pay more attention to hotspots demonstrated in the future. Key Points • Bibliometrix package was used to analyze bibliometric indicators and visualize the trends and hotspots of the research. • Focusing on RBPs in rheumatic diseases, we illustrated the evolution of this field and predicted future research hotspots. • The research trend topics have evolved towards clinical classification and the pathogenesis at the molecular and genetic level. • The pathogenic mechanism in rheumatic diseases will continue to be a hotspot in the future.

Aim: To conduct a bibliometric analysis of the nurses' job satisfaction from 2004 to 2023. Design: The bibliometric and visual analysis was performed in January 2024. Methods: Bibliometric approaches were applied to analyse 11,993 articles, utilising R and VOSviewer software. Results: Articles published by 24,155 authors from 1735 distinct sources between 2004 and 2023 were retrieved from the Web of Science and incorporated into the research's purview. The most productive nation and institution correspondingly were the United States and the University of Toronto. The leading scholars in this sphere were Spence Laschinger, Heather K, Labrague, Leodoro J, and Rodwell, John according to Price's Law, author co-citation and bibliographic-coupling network analysis. 14,152 keywords about nurses' job satisfaction study were discovered in this research. The most common keywords encompassed "job satisfaction," "nurses," "burnout," "turnover," and "intention" It was also observed that while trend topics like "work engagement" "COVID-19" and "grit" have gained popularity recently, the most commonly employed trend topics in earlier years included "empirical research report" "longitudinal study," and "organizational characteristics." Conclusion: Research on nurses' job satisfaction remains relatively limited and requires more attention, especially in developing countries. Developed countries, especially the United Kingdom and the United States, are the main contributors to nurse job satisfaction research. In the early days, nurse job satisfaction research mainly focused on the current status and influencing factors of nurse job satisfaction in different medical organizations, nurse groups or departments, while more researchers have recently paid more attention to research on specific issues emerging in this field, such as the impact of COVID-19 on nurse job satisfaction and turnover. In addition, scholars in the field of nurse job satisfaction focus on finding the real determinants of job satisfaction of adult practicing nurses, such as interpersonal value consistency, human resource management, and the impact of job satisfaction of adult nurses in different medical environments. Topics such as "perseverance," "COVID-19" and "work engagement" may be potential focuses for future research. Furthermore, transnational research should be given greater emphasis to investigate whether the major factors and effective interferences of nurses' job satisfaction differ between cultures and more multicenter as well as big sample studies should be conducted to efficiently improve nurses' job satisfaction. Impact: This study used bibliometric analysis to examine the most contributing nations, institutions, authors, trend topics, and research focus. Data on the present state of nurses' job satisfaction research, including its knowledge maps, study emphasis, and thematic trends are few. The findings of this research can lay a strong basis for future research and offer direction. No Patient or Public Contribution: There were no humankind subjects in the bibliometric analysis of published papers.

Hairy root is a special form of root tissue, which is induced by Rhizobium rhizogenes and could mediate genetic transformation after the infection of explants. They have attracted attentions because of their advantages of fast growth rate, convenient culture, stable genetic properties and strong synthesis ability of secondary metabolites. With bibliometrics, this study employed CiteSpace and VOSvivewer softwares to analyze the publications on hairy roots researches from 2009 to 2024 based on WOS database. The subject distribution, countries, institutions and personnel, research hotspots and research trends of hairy roots were discussed and analyzed. The results revealed a consistent increase in publications on hairy root with America, China and India as the main countries. The institutions were mainly universities and the Chinese Academy of Sciences was a major contributor to this topic and had close cooperation with other institutions. The researches of hairy roots mainly focused on plant genetic transformation, secondary metabolism and gene molecular function analysis, and in environmental remediation. The application of hairy roots could be an important research hotspot in the future.

The purpose of this study is to analyze the current research status and explore the relationship between metabolites and inflammatory bowel disease (IBD), providing insights for future research.

In this study, we retrieved publications on metabolites and IBD from the Web of Science Core Collection (WOSCC), covering the period from 1994 to 2024. We conducted descriptive and visual analyses of the topics, journals, countries/regions, institutions, authors, and citation counts of these publications.

From January 1994 to June 2024, a total of 509 relevant publications were retrieved from the WOSCC, with the number of publications steadily increasing each year. These articles were published in 222 journals, with the top three most productive journals being inflammatory bowel diseases (36 publications), Alimentary Pharmacology & Therapeutics (16 publications), and Digestive Diseases and Sciences (13 publications). The leading countries in publication output were China (154 publications, 30.3%), the USA (101 publications, 19.8%), and the UK (32 publications, 6.3%), with total citation counts of 3,175, 7,439, and 1,444, respectively. The most recent trending keywords in this field include "gut microbiota," "inflammation," and "pathogenesis."

Recent research on the relationship between metabolites and inflammatory bowel disease (IBD) has grown significantly, deepening our understanding of their connection. Further exploration of this relationship could not only enhance the quality of life for IBD patients but also offer new insights into potential cures for the disease.