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For:	Wu C, Huang ZH, Meng ZQ, Fan XT, Lu S, Tan YY, You LM, Huang JQ, Stalin A, Ye PZ, Wu ZS, Zhang JY, Liu XK, Zhou W, Zhang XM, Wu JR. A network pharmacology approach to reveal the pharmacological targets and biological mechanism of compound kushen injection for treating pancreatic cancer based on WGCNA and in vitro experiment validation. Chin Med 2021;16:121. [PMID: 34809653 DOI: 10.1186/s13020-021-00534-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

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Wu C, Huang ZH, Meng ZQ, Fan XT, Lu S, Tan YY, You LM, Huang JQ, Stalin A, Ye PZ, Wu ZS, Zhang JY, Liu XK, Zhou W, Zhang XM, Wu JR. A network pharmacology approach to reveal the pharmacological targets and biological mechanism of compound kushen injection for treating pancreatic cancer based on WGCNA and in vitro experiment validation. Chin Med 2021;16:121. [PMID: 34809653 DOI: 10.1186/s13020-021-00534-y] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Yi H, Zhang M, Miao J, Mu L, Hu C. Potential mechanisms of Shenmai injection against POCD based on network pharmacology and molecular docking. Int J Neurosci 2023;:1-12. [PMID: 36604848 DOI: 10.1080/00207454.2023.2165922] [Reference Citation Analysis]
2	Li R, Qin J, Wang Z, Lv F, Guo J, Zhu H, Huang Y. Dioscin reduced chemoresistance for colon cancer and analysis of sensitizing targets. Biochem Biophys Res Commun 2023;638:94-102. [PMID: 36442237 DOI: 10.1016/j.bbrc.2022.10.104] [Reference Citation Analysis]
3	Shen P, Jia Y, Shi S, Sun J, Han X. Analytical and biomedical applications of microfluidics in traditional Chinese medicine research. TrAC Trends in Analytical Chemistry 2022. [DOI: 10.1016/j.trac.2022.116851] [Reference Citation Analysis]
4	Yin X, Li J, Hao Z, Ding R, Qiao Y. A systematic study of traditional Chinese medicine treating hepatitis B virus-related hepatocellular carcinoma based on target-driven reverse network pharmacology. Front Cell Infect Microbiol 2022;12:964469. [DOI: 10.3389/fcimb.2022.964469] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
5	Wang L, Tao Q, Wang Z, Shi J, Yan W, Zhang L, Sun Y, Yao X. Tea Ingredients Have Anti-coronavirus Disease 2019 (COVID-19) Targets Based on Bioinformatics Analyses and Pharmacological Effects on LPS-Stimulated Macrophages. Front Nutr 2022;9:875765. [PMID: 35669076 DOI: 10.3389/fnut.2022.875765] [Reference Citation Analysis]