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Cited by in F6Publishing
For: Zhong S, Chen H, Yang S, Feng J, Zhou S. Identification and validation of prognostic signature for breast cancer based on genes potentially involved in autophagy. PeerJ 2020;8:e9621. [PMID: 33194339 DOI: 10.7717/peerj.9621] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Guo L, Jing Y. Construction and Identification of a Novel 5-Gene Signature for Predicting the Prognosis in Breast Cancer. Front Med (Lausanne) 2021;8:669931. [PMID: 34722557 DOI: 10.3389/fmed.2021.669931] [Reference Citation Analysis]
2 Hu L, Han Z, Cheng X, Wang S, Feng Y, Lin Z. Expression Profile Analysis Identifies a Novel Seven Immune-Related Gene Signature to Improve Prognosis Prediction of Glioblastoma. Front Genet 2021;12:638458. [PMID: 33708242 DOI: 10.3389/fgene.2021.638458] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
3 Li X, Chen J, Yu Q, Huang H, Liu Z, Wang C, He Y, Zhang X, Li W, Li C, Zhao J, Long W. A Signature of Autophagy-Related Long Non-coding RNA to Predict the Prognosis of Breast Cancer. Front Genet 2021;12:569318. [PMID: 33796128 DOI: 10.3389/fgene.2021.569318] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
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