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For: Dong X, Wang F, Liu C, Ling J, Jia X, Shen F, Yang N, Zhu S, Zhong L, Li Q. Single-cell analysis reveals the intra-tumor heterogeneity and identifies MLXIPL as a biomarker in the cellular trajectory of hepatocellular carcinoma. Cell Death Discov 2021;7:14. [PMID: 33462196 DOI: 10.1038/s41420-021-00403-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Aliya S, Lee H, Alhammadi M, Umapathi R, Huh YS. An Overview on Single-Cell Technology for Hepatocellular Carcinoma Diagnosis. Int J Mol Sci 2022;23:1402. [PMID: 35163329 DOI: 10.3390/ijms23031402] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
2 Zanotti S, Boot GF, Coto-llerena M, Gallon J, Hess GF, Soysal SD, Kollmar O, Ng CKY, Piscuoglio S. The Role of Chronic Liver Diseases in the Emergence and Recurrence of Hepatocellular Carcinoma: An Omics Perspective. Front Med 2022;9:888850. [DOI: 10.3389/fmed.2022.888850] [Reference Citation Analysis]
3 Li XY, Shen Y, Zhang L, Guo X, Wu J. Understanding initiation and progression of hepatocellular carcinoma through single cell sequencing. Biochim Biophys Acta Rev Cancer 2022;:188720. [PMID: 35304295 DOI: 10.1016/j.bbcan.2022.188720] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Lei Y, Tang R, Xu J, Wang W, Zhang B, Liu J, Yu X, Shi S. Applications of single-cell sequencing in cancer research: progress and perspectives. J Hematol Oncol 2021;14:91. [PMID: 34108022 DOI: 10.1186/s13045-021-01105-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]