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Cited by in CrossRef
For: Li YJ, Tang DX, Yan HT, Yang B, Yang Z, Long FX. Network pharmacology and molecular docking-based analyses to predict the potential mechanism of Huangqin decoction in treating colorectal cancer. World J Clin Cases 2023; 11(19): 4553-4566 [PMID: 37469733 DOI: 10.12998/wjcc.v11.i19.4553]
URL: https://www.wjgnet.com/2307-8960/full/v11/i19/4553.htm
Number Citing Articles
1
Tiegang Li, Zheng Yan, Mingxuan Zhou, Wenyi Zhao, Fang Zhang, Silin Lv, Yufang Hou, Zifan Zeng, Liu Yang, Yixin Zhou, Zengni Zhu, Xinyi Ren, Min Yang. Integration of Untargeted Metabolomics, Network Pharmacology, Single-Cell RNA Sequencing, and Molecular Dynamics Simulation Reveals GOT1, CYP1A2, and CA2 as Potential Targets of Huang Qin Decoction Preventing Colorectal Cancer Liver MetastasisPharmaceuticals 2025; 18(7): 1052 doi: 10.3390/ph18071052
2
Yongjie Xu, Changyudong Huang, Yiqiong Zhang, Haizhi Li, Huiru Yang, Mi Liu, Liying Zhu, Chengcheng Li, Yinxue Zhong, Lei Tang, Shuyun Zhao, Wei Pan. Diabetic encephalopathy models: A systematic review from cells to animalsExperimental Neurology 2026; 395: 115477 doi: 10.1016/j.expneurol.2025.115477