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For: Yan S, Wang W, Gao G, Cheng M, Wang X, Wang Z, Ma X, Chai C, Xu D. Key genes and functional coexpression modules involved in the pathogenesis of systemic lupus erythematosus. J Cell Physiol 2018;233:8815-25. [PMID: 29806703 DOI: 10.1002/jcp.26795] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 2.8] [Reference Citation Analysis]
Number Citing Articles
1 He W, Wang B, Li Q, Yao Q, Jia X, Song R, Li S, Zhang JA. Aberrant Expressions of Co-stimulatory and Co-inhibitory Molecules in Autoimmune Diseases. Front Immunol 2019;10:261. [PMID: 30842773 DOI: 10.3389/fimmu.2019.00261] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 2.3] [Reference Citation Analysis]
2 Thynn HN, Chen XF, Hu WX, Duan YY, Zhu DL, Chen H, Wang NN, Chen HH, Rong Y, Lu BJ, Yang M, Jiang F, Dong SS, Guo Y, Yang TL. An Allele-Specific Functional SNP Associated with Two Systemic Autoimmune Diseases Modulates IRF5 Expression by Long-Range Chromatin Loop Formation. J Invest Dermatol 2020;140:348-360.e11. [PMID: 31421124 DOI: 10.1016/j.jid.2019.06.147] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
3 Yang C, Sun J, Tian Y, Li H, Zhang L, Yang J, Wang J, Zhang J, Yan S, Xu D. Immunomodulatory Effect of MSCs and MSCs-Derived Extracellular Vesicles in Systemic Lupus Erythematosus. Front Immunol 2021;12:714832. [PMID: 34603289 DOI: 10.3389/fimmu.2021.714832] [Reference Citation Analysis]
4 Zhu J, Wang Z, Chen F, Liu C. Identification of genes and functional coexpression modules closely related to ulcerative colitis by gene datasets analysis. PeerJ 2019;7:e8061. [PMID: 31741804 DOI: 10.7717/peerj.8061] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
5 Tang Y, Zha L, Zeng X, Yu Z. Identification of Biomarkers Related to Systemic Sclerosis With or Without Pulmonary Hypertension Using Co-expression Analysis. J Comput Biol 2020;27:1519-31. [PMID: 32298610 DOI: 10.1089/cmb.2019.0492] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
6 Zhu J, Wang Z, Chen F. Association of Key Genes and Pathways with Atopic Dermatitis by Bioinformatics Analysis. Med Sci Monit 2019;25:4353-61. [PMID: 31184315 DOI: 10.12659/MSM.916525] [Cited by in Crossref: 7] [Cited by in F6Publishing: 3] [Article Influence: 2.3] [Reference Citation Analysis]
7 Li Y, Yuan P, Fan S, Zhai B, Jin W, Li D, Li H, Sun G, Han R, Liu X, Tian Y, Li G, Kang X. Weighted gene co-expression network indicates that the DYNLL2 is an important regulator of chicken breast muscle development and is regulated by miR-148a-3p. BMC Genomics 2022;23:258. [PMID: 35379193 DOI: 10.1186/s12864-022-08522-8] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
8 Chen S, Chai X, Wu X. Bioinformatical analysis of the key differentially expressed genes and associations with immune cell infiltration in development of endometriosis. BMC Genom Data 2022;23:20. [PMID: 35303800 DOI: 10.1186/s12863-022-01036-y] [Reference Citation Analysis]
9 Kou F, Cheng Y, Shi L, Liu J, Liu Y, Shi R, Peng G, Li J. LCN2 as a Potential Diagnostic Biomarker for Ulcerative Colitis-Associated Carcinogenesis Related to Disease Duration. Front Oncol 2021;11:793760. [PMID: 35111677 DOI: 10.3389/fonc.2021.793760] [Reference Citation Analysis]
10 Xu H, Chen S, Zhang H, Zou Y, Zhao J, Yu J, Le S, Cui J, Jiang L, Wu J, Xia J. Network-based analysis reveals novel gene signatures in the peripheral blood of patients with sporadic nonsyndromic thoracic aortic aneurysm. J Cell Physiol 2020;235:2478-91. [PMID: 31489966 DOI: 10.1002/jcp.29152] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
11 Wang Z, Zhu J, Liu C, Ma L. Identification of key genes and pathways associated with Crohn's disease by bioinformatics analysis. Scand J Gastroenterol 2019;54:1205-13. [PMID: 31526198 DOI: 10.1080/00365521.2019.1665096] [Reference Citation Analysis]
12 Wang Z, Zhu J, Chen F, Ma L. Weighted Gene Coexpression Network Analysis Identifies Key Genes and Pathways Associated with Idiopathic Pulmonary Fibrosis. Med Sci Monit 2019;25:4285-304. [PMID: 31177264 DOI: 10.12659/MSM.916828] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 1.3] [Reference Citation Analysis]
13 Chen P, Long B, Xu Y, Wu W, Zhang S. Identification of Crucial Genes and Pathways in Human Arrhythmogenic Right Ventricular Cardiomyopathy by Coexpression Analysis. Front Physiol 2018;9:1778. [PMID: 30574098 DOI: 10.3389/fphys.2018.01778] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 2.3] [Reference Citation Analysis]
14 Wang Y, Chen L, Wang G, Cheng S, Qian K, Liu X, Wu CL, Xiao Y, Wang X. Fifteen hub genes associated with progression and prognosis of clear cell renal cell carcinoma identified by coexpression analysis. J Cell Physiol 2019;234:10225-37. [PMID: 30417363 DOI: 10.1002/jcp.27692] [Cited by in Crossref: 20] [Cited by in F6Publishing: 23] [Article Influence: 5.0] [Reference Citation Analysis]
15 Jia X, Zhai T. Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Non-alcoholic Fatty Liver Disease. Front Endocrinol (Lausanne) 2019;10:599. [PMID: 31551930 DOI: 10.3389/fendo.2019.00599] [Cited by in Crossref: 11] [Cited by in F6Publishing: 12] [Article Influence: 3.7] [Reference Citation Analysis]
16 Liu S, Wang C, Yang H, Zhu T, Jiang H, Chen J. Weighted gene co-expression network analysis identifies FCER1G as a key gene associated with diabetic kidney disease. Ann Transl Med 2020;8:1427. [PMID: 33313172 DOI: 10.21037/atm-20-1087] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]