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For: Su Q, Liu Z, Chen C, Gao H, Zhu Y, Wang L, Pan M, Liu J, Yang X, Tian J. Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy. Cancer Med 2021;10:6492-502. [PMID: 34453418 DOI: 10.1002/cam4.4092] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Su Q, Liu Z, Zhu Y, Tian J. Metabolic-related gene signature model forecasts biochemical relapse in primary prostate cancer. 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) 2022. [DOI: 10.1109/embc48229.2022.9871189] [Reference Citation Analysis]
2 Fan B, Wang Y, Zheng X, Zhang X, Zhang Z, Hu X, Wu X. A Novel Angiogenesis-Related Gene Signature to Predict Biochemical Recurrence of Patients with Prostate Cancer following Radical Therapy. Journal of Oncology 2022;2022:1-13. [DOI: 10.1155/2022/2448428] [Reference Citation Analysis]
3 Su Q, Dai B, Zhang H, Zhang S, Tang M. Discovering Gene Signature Shared by Prostate Cancer and Neurodegenerative Diseases Based on the Bioinformatics Approach. Computational and Mathematical Methods in Medicine 2022;2022:1-8. [DOI: 10.1155/2022/8430485] [Reference Citation Analysis]
4 Su Q, Liu Z, Chen C, Gao H, Zhu Y, Wang L, Pan M, Liu J, Yang X, Tian J. Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy. Cancer Med 2021;10:6492-502. [PMID: 34453418 DOI: 10.1002/cam4.4092] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]