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Cited by in F6Publishing

For:	Khanal P, Patil VS, Bhandare VV, Dwivedi PS, Shastry C, Patil B, Gurav SS, Harish DR, Roy S. Computational investigation of benzalacetophenone derivatives against SARS-CoV-2 as potential multi-target bioactive compounds. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105668] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

For:

Khanal P, Patil VS, Bhandare VV, Dwivedi PS, Shastry C, Patil B, Gurav SS, Harish DR, Roy S. Computational investigation of benzalacetophenone derivatives against SARS-CoV-2 as potential multi-target bioactive compounds. Computers in Biology and Medicine 2022. [DOI: 10.1016/j.compbiomed.2022.105668] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]

Number	Citing Articles
1	Kumari S, Kumar P. Design and Computational Analysis of an MMP9 Inhibitor in Hypoxia-Induced Glioblastoma Multiforme. ACS Omega 2023. [DOI: 10.1021/acsomega.3c00441] [Reference Citation Analysis]
2	Li MH, Jin MH, Hu RY, Tang S, Li KK, Gong XJ, Sun YS, Wang YP, Wang Z, Li W. Exploring the mechanism of active components from ginseng to manage diabetes mellitus based on network pharmacology and molecular docking. Sci Rep 2023;13:793. [PMID: 36646777 DOI: 10.1038/s41598-023-27540-4] [Reference Citation Analysis]
3	Khanal P, Patil VS, Bhandare VV, Patil PP, Patil BM, Dwivedi PSR, Bhattacharya K, Harish DR, Roy S. Systems and in vitro pharmacology profiling of diosgenin against breast cancer. Front Pharmacol 2022;13:1052849. [PMID: 36686654 DOI: 10.3389/fphar.2022.1052849] [Reference Citation Analysis]
4	DasNandy A, Patil VS, Hegde HV, Harish DR, Roy S. Elucidating type 2 diabetes mellitus risk factor by promoting lipid metabolism with gymnemagenin: An in vitro and in silico approach. Front Pharmacol 2022;13:1074342. [PMID: 36582536 DOI: 10.3389/fphar.2022.1074342] [Reference Citation Analysis]
5	Ko M, Kim Y, Kim HH, Jeong S, Ahn D, Chung SJ, Kim H. Network pharmacology and molecular docking approaches to elucidate the potential compounds and targets of Saeng-Ji-Hwang-Ko for treatment of type 2 diabetes mellitus. Computers in Biology and Medicine 2022;149:106041. [DOI: 10.1016/j.compbiomed.2022.106041] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]