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Cited by in F6Publishing

For:	Peng W, Lin C, Jing S, Su G, Jin X, Di G, Shao Z. A Novel Seven Gene Signature-Based Prognostic Model to Predict Distant Metastasis of Lymph Node-Negative Triple-Negative Breast Cancer. Front Oncol 2021;11:746763. [PMID: 34604089 DOI: 10.3389/fonc.2021.746763] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]

For:

Peng W, Lin C, Jing S, Su G, Jin X, Di G, Shao Z. A Novel Seven Gene Signature-Based Prognostic Model to Predict Distant Metastasis of Lymph Node-Negative Triple-Negative Breast Cancer. Front Oncol 2021;11:746763. [PMID: 34604089 DOI: 10.3389/fonc.2021.746763] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]

Number	Citing Articles
1	Leili Tapak, Omid Hamidi, Payam Amini, Saeid Afshar, Siamak Salimy, Irina Dinu. Identification of Prognostic Biomarkers for Breast Cancer Metastasis Using Penalized Additive Hazards Regression Model. Cancer Inform 2023;22:11769351231157942. [ DOI: 10.1177/11769351231157942] [Reference Citation Analysis]
2	Zhu J, Kong W, Huang L, Wang S, Bi S, Wang Y, Shan P, Zhu S. MLSP: A Bioinformatics Tool for Predicting Molecular Subtypes and Prognosis in Patients with Breast Cancer. Computational and Structural Biotechnology Journal 2022. [DOI: 10.1016/j.csbj.2022.11.017] [Reference Citation Analysis]
3	Chen Q, Liu Y, Gao Y, Zhang R, Hou W, Cao Z, Jiang Y, Zheng Y, Shi L, Ma D, Yang J, Shao Z, Yu Y. A comprehensive genomic and transcriptomic dataset of triple-negative breast cancers. Sci Data 2022;9. [DOI: 10.1038/s41597-022-01681-z] [Reference Citation Analysis]