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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Discovery of Novel Epidermal Growth Factor Receptor (EGFR) Inhibitors Using Computational Approaches
Donghui Huo, Shiyu Wang, Yue Kong, et al.
Journal of Chemical Information and Modeling (2021) Vol. 62, Iss. 21, pp. 5149-5164
Closed Access | Times Cited: 9

Showing 9 citing articles:

The use of machine learning modeling, virtual screening, molecular docking, and molecular dynamics simulations to identify potential VEGFR2 kinase inhibitors
Abbas Salimi, Jong Hyeon Lim, Jee Hwan Jang, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 24
Modeling and Interpretability Study of the Structure–Activity Relationship for Multigeneration EGFR Inhibitors
Zhiqi Sun, Donghui Huo, Jiangyu Guo, et al.
ACS Omega (2025)
Open Access
Design, synthesis and antitumor activity of 4-arylamine substituted pyrimidine derivatives as noncovalent EGFR inhibitors overcoming C797S mutation
Yaqing Zuo, Zhiwu Long, Rongrong Li, et al.
European Journal of Medicinal Chemistry (2023) Vol. 265, pp. 116106-116106
Closed Access | Times Cited: 7
Identification of ligands binding to MB327-PAM-1, a binding pocket relevant for resensitization of nAChRs
Jesko Kaiser, Christoph G. W. Gertzen, Tamara Bernauer, et al.
Toxicology Letters (2024) Vol. 398, pp. 91-104
Open Access | Times Cited: 1
A SAR and QSAR study on cyclin dependent kinase 4 inhibitors using machine learning methods
Xiaoyang Pang, Yunyang Zhao, Guo Li, et al.
Digital Discovery (2023) Vol. 2, Iss. 4, pp. 1026-1041
Open Access | Times Cited: 2
Ligand and structure based hierarchical virtual screening cascade for finding novel epidermal growth factor receptor inhibitors
Donghui Huo, Zhiqi Sun, Maolin Wang, et al.
Chemical Biology & Drug Design (2023) Vol. 103, Iss. 1
Closed Access | Times Cited: 2
Design and discovery of monopolar spindle kinase 1 (MPS1/TTK) inhibitors by computational approaches
Nan Li, Jianning Wang, Haiyue Wu, et al.
Medicinal Chemistry Research (2024) Vol. 33, Iss. 10, pp. 1861-1886
Closed Access
Identification of ligands binding to MB327-PAM-1, a binding pocket relevant for resensitization of nAChRs
Jesko Kaiser, Christoph G. W. Gertzen, Tamara Bernauer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Computational Chemistry in Asia
Guo‐Wei Wei, Thereza A. Soares, Habibah A. Wahab, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 21, pp. 5035-5037
Open Access | Times Cited: 1
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