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Cited by in F6Publishing
For: Wang L, Wang Z, Yang Z, Yang K, Yang H. Study of the Active Components and Molecular Mechanism of Tripterygium wilfordii in the Treatment of Diabetic Nephropathy. Front Mol Biosci 2021;8:664416. [PMID: 34164430 DOI: 10.3389/fmolb.2021.664416] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Wu M, Zhang Y. Combining bioinformatics, network pharmacology and artificial intelligence to predict the mechanism of celastrol in the treatment of type 2 diabetes. Front Endocrinol 2022;13:1030278. [DOI: 10.3389/fendo.2022.1030278] [Reference Citation Analysis]
2 Tong X, Yang Y, Gong S, Han X, Wu Y, Ma X, Lang S, Ma J, Ma X. Data Mining and Network Pharmacology Analysis of Kidney-Tonifying Herbs on the Treatment of Renal Osteodystrophy Based on the Theory of "Kidney Governing Bones" in Traditional Chinese Medicine. Evid Based Complement Alternat Med 2022;2022:1116923. [PMID: 36238608 DOI: 10.1155/2022/1116923] [Reference Citation Analysis]
3 Zhou P, Hao Z, Xu W, Zhou X, Yu J. Efficacy and safety of Abelmoschus moschatus capsules combined with tripterygium glycoside tablets on diabetic nephropathy: A systematic review and meta-analysis. Front Pharmacol 2022;13:936678. [DOI: 10.3389/fphar.2022.936678] [Reference Citation Analysis]
4 Wang W, Lu H. High Glucose-Induced Human Kidney Cell Apoptosis and Inflammatory Injury Are Alleviated by Circ_0008529 Knockdown via Circ_0008529-Mediated miR-485-5p/WNT2B Signaling. Appl Biochem Biotechnol. [DOI: 10.1007/s12010-022-04088-z] [Reference Citation Analysis]
5 Sun Y, Wang Z, Hou J, Shi J, Tang Z, Wang C, Zhao H. Shuangxinfang Prevents S100A9-Induced Macrophage/Microglial Inflammation to Improve Cardiac Function and Depression-Like Behavior in Rats After Acute Myocardial Infarction. Front Pharmacol 2022;13:832590. [DOI: 10.3389/fphar.2022.832590] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Farmanullah F, Liang X, Khan FA, Salim M, Rehman ZU, Khan M, Talpur HS, Schreurs NM, Gouda M, Khan SU, Shujun Z. Transcriptomic in silico analysis of bovine Escherichia coli mastitis highlights its immune-related expressed genes as an effective biomarker. J Genet Eng Biotechnol 2021;19:153. [PMID: 34637035 DOI: 10.1186/s43141-021-00235-x] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]