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Cited by in F6Publishing
For: Ge Y, Zhang C, Xiao S, Liang L, Liao S, Xiang Y, Cao K, Chen H, Zhou Y. Identification of differentially expressed genes in cervical cancer by bioinformatics analysis. Oncol Lett 2018;16:2549-58. [PMID: 30013649 DOI: 10.3892/ol.2018.8953] [Cited by in Crossref: 3] [Cited by in F6Publishing: 9] [Article Influence: 0.8] [Reference Citation Analysis]
Number Citing Articles
1 Espinosa Garcia E, Arroyo Varela M, Larrosa Jimenez R, Gomez-Maldonado J, Cobo Dols MA, Claros MG, Bautista Moreno R. Construction of miRNA-mRNA networks for the identification of lung cancer biomarkers in liquid biopsies. Clin Transl Oncol 2022. [PMID: 36229739 DOI: 10.1007/s12094-022-02969-7] [Reference Citation Analysis]
2 Dasgupta S, Ewing-Graham PC, Van Den Bosch TPP, Swagemakers SMA, Santegoets LAM, Van Doorn HC, Van Der Spek PJ, Koljenović S, Van Kemenade FJ. Nuclear factor IB is downregulated in vulvar squamous cell carcinoma (VSCC): Unravelling differentially expressed genes in VSCC through gene expression dataset analysis. Oncol Lett 2021;21:381. [PMID: 33841565 DOI: 10.3892/ol.2021.12642] [Reference Citation Analysis]
3 Liu D, Zhou B, Liu R. An RNA-sequencing-based transcriptome for a significantly prognostic novel driver signature identification in bladder urothelial carcinoma. PeerJ 2020;8:e9422. [PMID: 32742772 DOI: 10.7717/peerj.9422] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
4 Mou Y, Zhang Y, Wu J, Hu B, Zhang C, Duan C, Li B. The Landscape of Iron Metabolism-Related and Methylated Genes in the Prognosis Prediction of Clear Cell Renal Cell Carcinoma. Front Oncol 2020;10:788. [PMID: 32528886 DOI: 10.3389/fonc.2020.00788] [Cited by in Crossref: 11] [Cited by in F6Publishing: 13] [Article Influence: 5.5] [Reference Citation Analysis]
5 Zeng H, Li L, Hou Z, Zhang Y, Tang Z, Liu S. Direct-acting Antiviral in the Treatment of Chronic Hepatitis C: Bonuses and Challenges. Int J Med Sci. 2020;17:892-902. [PMID: 32308542 DOI: 10.7150/ijms.43079] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 7.5] [Reference Citation Analysis]
6 Liu D, Zhou B, Liu R. A transcriptional co-expression network-based approach to identify prognostic biomarkers in gastric carcinoma. PeerJ 2020;8:e8504. [PMID: 32095347 DOI: 10.7717/peerj.8504] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 1.5] [Reference Citation Analysis]
7 Dai F, Chen G, Wang Y, Zhang L, Long Y, Yuan M, Yang D, Liu S, Cheng Y, Zhang L. Identification of candidate biomarkers correlated with the diagnosis and prognosis of cervical cancer via integrated bioinformatics analysis. Onco Targets Ther 2019;12:4517-32. [PMID: 31354287 DOI: 10.2147/OTT.S199615] [Cited by in Crossref: 22] [Cited by in F6Publishing: 24] [Article Influence: 7.3] [Reference Citation Analysis]
8 Wu X, Peng L, Zhang Y, Chen S, Lei Q, Li G, Zhang C. Identification of Key Genes and Pathways in Cervical Cancer by Bioinformatics Analysis. Int J Med Sci 2019;16:800-12. [PMID: 31337953 DOI: 10.7150/ijms.34172] [Cited by in Crossref: 31] [Cited by in F6Publishing: 32] [Article Influence: 10.3] [Reference Citation Analysis]
9 Ge Y, Long Y, Xiao S, Liang L, He Z, Yue C, Wei X, Zhou Y. CD38 affects the biological behavior and energy metabolism of nasopharyngeal carcinoma cells. Int J Oncol 2019;54:585-99. [PMID: 30535454 DOI: 10.3892/ijo.2018.4651] [Cited by in Crossref: 2] [Cited by in F6Publishing: 7] [Article Influence: 0.5] [Reference Citation Analysis]