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Cited by in F6Publishing

For:	Mukherjee S, Kar A, Khatun N, Datta P, Biswas A, Barik S. Familiarity Breeds Strategy: In Silico Untangling of the Molecular Complexity on Course of Autoimmune Liver Disease-to-Hepatocellular Carcinoma Transition Predicts Novel Transcriptional Signatures. Cells 2021;10:1917. [PMID: 34440687 DOI: 10.3390/cells10081917] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]

For:

Mukherjee S, Kar A, Khatun N, Datta P, Biswas A, Barik S. Familiarity Breeds Strategy: In Silico Untangling of the Molecular Complexity on Course of Autoimmune Liver Disease-to-Hepatocellular Carcinoma Transition Predicts Novel Transcriptional Signatures. Cells 2021;10:1917. [PMID: 34440687 DOI: 10.3390/cells10081917] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]

Number	Citing Articles
1	Kar A, Samanta A, Mukherjee S, Barik S, Biswas A. The HBV web: An insight into molecular interactomes between the hepatitis B virus and its host en route to hepatocellular carcinoma. J Med Virol 2023;95:e28436. [PMID: 36573429 DOI: 10.1002/jmv.28436] [Reference Citation Analysis]
2	Mukherjee S, Kar A, Paul P, Dey S, Biswas A, Barik S. In Silico Integration of Transcriptome and Interactome Predicts an ETP-ALL-Specific Transcriptional Footprint that Decodes its Developmental Propensity. Front Cell Dev Biol 2022;10:899752. [DOI: 10.3389/fcell.2022.899752] [Reference Citation Analysis]