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Cited by in F6Publishing
For: Wu X, Lan T, Li M, Liu J, Wu X, Shen S, Chen W, Peng B. Six Metabolism Related mRNAs Predict the Prognosis of Patients With Hepatocellular Carcinoma. Front Mol Biosci 2021;8:621232. [PMID: 33869278 DOI: 10.3389/fmolb.2021.621232] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Zhou Y, Li X, Long G, Tao Y, Zhou L, Tang J. Identification and validation of a tyrosine metabolism-related prognostic prediction model and characterization of the tumor microenvironment infiltration in hepatocellular carcinoma. Front Immunol 2022;13:994259. [DOI: 10.3389/fimmu.2022.994259] [Reference Citation Analysis]
2 Zou X, He R, Zhang Z, Yan Y. Apoptosis-Related Signature Predicts Prognosis and Immune Microenvironment Infiltration in Lung Adenocarcinoma. Front Genet 2022;13:818403. [DOI: 10.3389/fgene.2022.818403] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
3 Wang J, Wang Y, Steffani M, Stöß C, Ankerst D, Friess H, Hüser N, Hartmann D. Novel Risk Classification Based on Pyroptosis-Related Genes Defines Immune Microenvironment and Pharmaceutical Landscape for Hepatocellular Carcinoma. Cancers 2022;14:447. [DOI: 10.3390/cancers14020447] [Reference Citation Analysis]
4 Zhao Y, Zhang J, Wang S, Jiang Q, Xu K. Identification and Validation of a Nine-Gene Amino Acid Metabolism-Related Risk Signature in HCC. Front Cell Dev Biol 2021;9:731790. [PMID: 34557495 DOI: 10.3389/fcell.2021.731790] [Cited by in Crossref: 10] [Cited by in F6Publishing: 12] [Article Influence: 5.0] [Reference Citation Analysis]