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For: Chen Z, Chen J, Huang X, Wu Y, Huang K, Xu W, Xie L, Zhang X, Liu H. Identification of Potential Key Genes for Hepatitis B Virus-Associated Hepatocellular Carcinoma by Bioinformatics Analysis. J Comput Biol 2019;26:485-94. [PMID: 30864827 DOI: 10.1089/cmb.2018.0244] [Cited by in Crossref: 9] [Cited by in F6Publishing: 10] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Ning G, Li Y, Chen W, Tang W, Shou D, Luo Q, Chen H, Zhou Y. Identification of New Biomarker for Prediction of Hepatocellular Carcinoma Development in Early-Stage Cirrhosis Patients. J Oncol 2021;2021:9949492. [PMID: 34335764 DOI: 10.1155/2021/9949492] [Reference Citation Analysis]
2 Zhang J, Liu X, Zhou W, Lu S, Wu C, Wu Z, Liu R, Li X, Wu J, Liu Y, Guo S, Jia S, Zhang X, Wang M. Identification of Key Genes Associated With the Process of Hepatitis B Inflammation and Cancer Transformation by Integrated Bioinformatics Analysis. Front Genet 2021;12:654517. [PMID: 34539726 DOI: 10.3389/fgene.2021.654517] [Reference Citation Analysis]
3 Liu Z, Guo Z, Long L, Zhang Y, Lu Y, Wu D, Dong Z. [Spindle assembly checkpoint complex-related genes TTK and MAD2L1 are over-expressed in lung adenocarcinoma: a big data and bioinformatics analysis]. Nan Fang Yi Ke Da Xue Xue Bao 2020;40:1422-31. [PMID: 33118511 DOI: 10.12122/j.issn.1673-4254.2020.10.07] [Reference Citation Analysis]
4 Zhang P, Feng J, Wu X, Chu W, Zhang Y, Li P. Bioinformatics Analysis of Candidate Genes and Pathways Related to Hepatocellular Carcinoma in China: A Study Based on Public Databases. Pathol Oncol Res 2021;27:588532. [PMID: 34257537 DOI: 10.3389/pore.2021.588532] [Reference Citation Analysis]
5 Nong W, Ma L, Lan B, Liu N, Yang H, Lao X, Deng Q, Huang Z. Comprehensive Identification of Bridge Genes to Explain the Progression from Chronic Hepatitis B Virus Infection to Hepatocellular Carcinoma. J Inflamm Res 2021;14:1613-24. [PMID: 33907440 DOI: 10.2147/JIR.S298977] [Reference Citation Analysis]
6 Li Y, Wu D, Wei C, Yang X, Zhou S. [CDK1, CCNB1 and NDC80 are associated with prognosis and progression of hepatitis B virus-associated hepatocellular carcinoma: a bioinformatic analysis]. Nan Fang Yi Ke Da Xue Xue Bao 2021;41:1509-18. [PMID: 34755666 DOI: 10.12122/j.issn.1673-4254.2021.10.09] [Reference Citation Analysis]
7 Hasan MI, Rahman MH, Islam MB, Islam MZ, Hossain MA, Moni MA. Systems Biology and Bioinformatics approach to Identify blood based signatures molecules and drug targets of patient with COVID-19. Inform Med Unlocked 2022;28:100840. [PMID: 34981034 DOI: 10.1016/j.imu.2021.100840] [Reference Citation Analysis]
8 Xie S, Jiang X, Zhang J, Xie S, Hua Y, Wang R, Yang Y. Identification of significant gene and pathways involved in HBV-related hepatocellular carcinoma by bioinformatics analysis. PeerJ 2019;7:e7408. [PMID: 31392101 DOI: 10.7717/peerj.7408] [Cited by in Crossref: 15] [Cited by in F6Publishing: 16] [Article Influence: 5.0] [Reference Citation Analysis]
9 Zeng L, Fan X, Wang X, Deng H, Zhang K, Zhang X, He S, Li N, Han Q, Liu Z. Bioinformatics Analysis based on Multiple Databases Identifies Hub Genes Associated with Hepatocellular Carcinoma. Curr Genomics 2019;20:349-61. [PMID: 32476992 DOI: 10.2174/1389202920666191011092410] [Cited by in Crossref: 6] [Cited by in F6Publishing: 11] [Article Influence: 2.0] [Reference Citation Analysis]
10 Liu C, Dai Q, Ding Q, Wei M, Kong X. Identification of key genes in hepatitis B associated hepatocellular carcinoma based on WGCNA. Infect Agent Cancer 2021;16:18. [PMID: 33726794 DOI: 10.1186/s13027-021-00357-4] [Reference Citation Analysis]
11 Bai Z, Li H, Li C, Sheng C, Zhao X. Integrated analysis identifies a long non-coding RNAs-messenger RNAs signature for prediction of prognosis in hepatitis B virus-hepatocellular carcinoma patients. Medicine (Baltimore) 2020;99:e21503. [PMID: 33019382 DOI: 10.1097/MD.0000000000021503] [Reference Citation Analysis]
12 Ji Y, Yin Y, Zhang W. Integrated Bioinformatic Analysis Identifies Networks and Promising Biomarkers for Hepatitis B Virus-Related Hepatocellular Carcinoma. Int J Genomics 2020;2020:2061024. [PMID: 32775402 DOI: 10.1155/2020/2061024] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 2.5] [Reference Citation Analysis]