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For: Hasankhani A, Bahrami A, Sheybani N, Aria B, Hemati B, Fatehi F, Ghaem Maghami Farahani H, Javanmard G, Rezaee M, Kastelic JP, Barkema HW. Differential Co-Expression Network Analysis Reveals Key Hub-High Traffic Genes as Potential Therapeutic Targets for COVID-19 Pandemic. Front Immunol 2021;12:789317. [PMID: 34975885 DOI: 10.3389/fimmu.2021.789317] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Mengato D, Mazzitelli M, Francavilla A, Bettio M, Sasset L, Presa N, Pivato L, Lo Menzo S, Trevenzoli M, Venturini F, Gregori D, Cattelan AM. Changing patterns and clinical outcomes of hospitalized patients with COVID-19 severe pneumonia treated with remdesivir according to vaccination status: results from a real-world retrospective study. Clin Exp Med 2023. [PMID: 36961678 DOI: 10.1007/s10238-023-01036-x] [Reference Citation Analysis]
2 Islam MA, Kibria MK, Hossen MB, Reza MS, Tasmia SA, Tuly KF, Mosharof MP, Kabir SR, Kabir MH, Mollah MNH. Bioinformatics-based investigation on the genetic influence between SARS-CoV-2 infections and idiopathic pulmonary fibrosis (IPF) diseases, and drug repurposing. Sci Rep 2023;13:4685. [PMID: 36949176 DOI: 10.1038/s41598-023-31276-6] [Reference Citation Analysis]
3 Redenšek Trampuž S, Vogrinc D, Goričar K, Dolžan V. Shared miRNA landscapes of COVID-19 and neurodegeneration confirm neuroinflammation as an important overlapping feature. Front Mol Neurosci 2023;16. [DOI: 10.3389/fnmol.2023.1123955] [Reference Citation Analysis]
4 Li H, Ma Q, Ren J, Guo W, Feng K, Li Z, Huang T, Cai Y. Immune responses of different COVID-19 vaccination strategies by analyzing single-cell RNA sequencing data from multiple tissues using machine learning methods. Front Genet 2023;14. [DOI: 10.3389/fgene.2023.1157305] [Reference Citation Analysis]
5 Chakraborty C, Bhattacharya M, Dhama K, Lee SS. Evaluation of differentially expressed genes during replication using gene expression landscape of monkeypox-infected MK2 cells: A bioinformatics and systems biology approach to understanding the genomic pattern of viral replication. J Infect Public Health 2023;16:399-409. [PMID: 36724696 DOI: 10.1016/j.jiph.2023.01.015] [Reference Citation Analysis]
6 Tang J, Xu Q, Tang K, Ye X, Cao Z, Zou M, Zeng J, Guan X, Han J, Wang Y, Yang L, Lin Y, Jiang K, Chen X, Zhao Y, Tian D, Li C, Shen W, Du X. Susceptibility identification for seasonal influenza A/H3N2 based on baseline blood transcriptome. Front Immunol 2022;13:1048774. [PMID: 36713410 DOI: 10.3389/fimmu.2022.1048774] [Reference Citation Analysis]
7 Lin L, Deng J, Tan W, Li J, Wu Z, Zheng L, Yang J. Pathogenesis and histological changes of nephropathy associated with COVID-19. J Med Virol 2023;95:e28311. [PMID: 36377540 DOI: 10.1002/jmv.28311] [Reference Citation Analysis]
8 Hasankhani A, Bahrami A, Tavakoli-Far B, Iranshahi S, Ghaemi F, Akbarizadeh MR, Amin AH, Abedi Kiasari B, Mohammadzadeh Shabestari A. The role of peroxisome proliferator-activated receptors in the modulation of hyperinflammation induced by SARS-CoV-2 infection: A perspective for COVID-19 therapy. Front Immunol 2023;14:1127358. [PMID: 36875108 DOI: 10.3389/fimmu.2023.1127358] [Reference Citation Analysis]
9 Gedda MR, Danaher P, Shao L, Ongkeko M, Chen L, Dinh A, Thioye Sall M, Reddy OL, Bailey C, Wahba A, Dzekunova I, Somerville R, De Giorgi V, Jin P, West K, Panch SR, Stroncek DF. Longitudinal transcriptional analysis of peripheral blood leukocytes in COVID-19 convalescent donors. J Transl Med 2022;20:587. [PMID: 36510222 DOI: 10.1186/s12967-022-03751-7] [Reference Citation Analysis]
10 Hasankhani A, Bahrami A, Mackie S, Maghsoodi S, Alawamleh HSK, Sheybani N, Safarpoor Dehkordi F, Rajabi F, Javanmard G, Khadem H, Barkema HW, De Donato M. In-depth systems biological evaluation of bovine alveolar macrophages suggests novel insights into molecular mechanisms underlying Mycobacterium bovis infection. Front Microbiol 2022;13. [DOI: 10.3389/fmicb.2022.1041314] [Reference Citation Analysis]
11 Ghosh N, Saha I, Plewczynski D. Unveiling the Biomarkers of Cancer and COVID-19 and Their Regulations in Different Organs by Integrating RNA-Seq Expression and Protein-Protein Interactions. ACS Omega 2022;7:43589-602. [PMID: 36506181 DOI: 10.1021/acsomega.2c04389] [Reference Citation Analysis]
12 Grumet M, Sherman J, Dorf BS. Efficacy of MSC in Patients with Severe COVID-19: Analysis of the Literature and a Case Study. Stem Cells Transl Med 2022:szac067. [PMID: 36181766 DOI: 10.1093/stcltm/szac067] [Reference Citation Analysis]
13 Jin Q, Li W, Yu W, Zeng M, Liu J, Xu P. Analysis and identification of potential type II helper T cell (Th2)-Related key genes and therapeutic agents for COVID-19. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.106134] [Reference Citation Analysis]
14 Chen Z, Chen C, Chen F, Lan R, Lin G, Xu Y. Bioinformatics analysis of potential pathogenesis and risk genes of immunoinflammation-promoted renal injury in severe COVID-19. Front Immunol 2022;13:950076. [DOI: 10.3389/fimmu.2022.950076] [Reference Citation Analysis]
15 Saik OV, Klimontov VV. Gene Networks of Hyperglycemia, Diabetic Complications, and Human Proteins Targeted by SARS-CoV-2: What Is the Molecular Basis for Comorbidity? IJMS 2022;23:7247. [DOI: 10.3390/ijms23137247] [Reference Citation Analysis]
16 Milani D, Caruso L, Zauli E, Al Owaifeer AM, Secchiero P, Zauli G, Gemmati D, Tisato V. p53/NF-kB Balance in SARS-CoV-2 Infection: From OMICs, Genomics and Pharmacogenomics Insights to Tailored Therapeutic Perspectives (COVIDomics). Front Pharmacol 2022;13:871583. [DOI: 10.3389/fphar.2022.871583] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]