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For: Yang L, Shou YH, Yang YS, Xu JH. Elucidating the immune infiltration in acne and its comparison with rosacea by integrated bioinformatics analysis. PLoS One 2021;16:e0248650. [PMID: 33760854 DOI: 10.1371/journal.pone.0248650] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 2.0] [Reference Citation Analysis]
Number Citing Articles
1 Li C, Lu Y, Han X. Identification of Effective Diagnostic Biomarkers and Immune Cell Infiltration in Atopic Dermatitis by Comprehensive Bioinformatics Analysis. Front Mol Biosci 2022;9:917077. [DOI: 10.3389/fmolb.2022.917077] [Reference Citation Analysis]
2 Firlej E, Kowalska W, Szymaszek K, Roliński J, Bartosińska J. The Role of Skin Immune System in Acne. JCM 2022;11:1579. [DOI: 10.3390/jcm11061579] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Han X, Song D. Using a Machine Learning Approach to Identify Key Biomarkers for Renal Clear Cell Carcinoma. IJGM 2022;Volume 15:3541-58. [DOI: 10.2147/ijgm.s351168] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Dreno B, Chavda R, Julia V, Khammari A, Blanchet-Réthoré S, Krishnaswamy JK. Transcriptomics Analysis Indicates Trifarotene Reverses Acne-Related Gene Expression Changes. Front Med (Lausanne) 2021;8:745822. [PMID: 34746181 DOI: 10.3389/fmed.2021.745822] [Reference Citation Analysis]
5 Zhu YX, Huang JQ, Ming YY, Zhuang Z, Xia H. Screening of key biomarkers of tendinopathy based on bioinformatics and machine learning algorithms. PLoS One 2021;16:e0259475. [PMID: 34714891 DOI: 10.1371/journal.pone.0259475] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]