Editorial
Copyright ©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Stem Cells. Sep 26, 2024; 16(9): 827-831
Published online Sep 26, 2024. doi: 10.4252/wjsc.v16.i9.827
Mesenchymal stem cells in wound healing: A bibliometric analysis as a powerful research tool
Vera V Voinova, Daria V Vasina, Anton P Bonartsev
Vera V Voinova, Anton P Bonartsev, Faculty of Biology, MV Lomonosov Moscow State University, Moscow 119234, Russia
Daria V Vasina, NF Gamaleya National Research Centre for Epidemiology and Microbiology, Ministry of Health of the Russian Federation, Moscow 123098, Russia
Author contributions: Bonartsev AP designed the research study; Voinova VV, Vasina DV, and Bonartsev AP performed the research; Voinova VV and Bonartsev AP wrote the original draft; Vasina DV and Bonartsev AP reviewed and edited the manuscript; All authors have read and approved the final manuscript.
Supported by Russian Science Foundation, No. 23-74-10027.
Conflict-of-interest statement: Dr. Bonartsev reports grants from Russian Science Foundation, during the conduct of the study.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/licenses/by-nc/4.0/
Corresponding author: Anton P Bonartsev, Doctor, PhD, Associate Professor, Faculty of Biology, MV Lomonosov Moscow State University, Leninskie Gory 1, Bld 12, Moscow 119234, Russia. ant_bonar@mail.ru
Received: May 28, 2024
Revised: August 11, 2024
Accepted: August 22, 2024
Published online: September 26, 2024
Processing time: 118 Days and 10.3 Hours
Abstract

Bibliographic analysis is still very rarely used in experimental basic study papers. The comprehensive bibliometric analysis of scientific literature on research progress and challenges in stem cell therapy for diabetic chronic wounds, which was conducted in the work of Shi et al can be a case study and a source of valuable information for writing reviews and experimental papers in this field. Basic experimental studies on a role of mesenchymal stem cells (MSCs) in wound healing that are published in 2023-2024, such as Zhang et al in 2023, Hu et al in 2023, Wang et al in 2023 are certainly also subjects for applying this powerful tool to analyze current research, challenges and perspectives in this field. This is due to the fact that these studies have addressed a great variety of aspects of the application of MSCs for the treatment of chronic wounds, such as using both the cells themselves and their various products: Sponges, hydrogels, exosomes, and genetic constructions. Such a wide variety of directions in the field of study and biomedical application of MSCs requires a deep understanding of the current state of research in this area, which can be provided by bibliometric analysis. Thus, the use of such elements of bibliographic analysis as publication count by year and analysis of top-10 keywords calculated independently or cited from bibliometric analysis studies can be safely recommended for every basic study manuscripts, primarily for the “Introduction” section, and review.

Keywords: Bibliometric analysis; Mesenchymal stem cells; Wound healing; Tissue engineering; Dressing; Hydrogels; Matrix; Exosomes

Core Tip: Bibliographic analysis is still very rarely used in basic studies. Meanwhile, it is a very effective tool to better understand the development of the chosen research area and to analyze the data more broadly, as it is perfectly demonstrated in the work of Shi et al in 2024 and in comparisons with basic studies on a role of mesenchymal stem cells in wound healing published. Such elements of bibliographic analysis as publication count by year and analysis of top-10 keywords can be safely recommended for using in every basic study manuscripts.