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:

Structural insights into the substrate‐binding site of main protease for the structure‐based COVID‐19 drug discovery
Rohoullah Firouzi, Mitra Ashouri, Mohammad Hossein Karimi‐Jafari
Proteins Structure Function and Bioinformatics (2022) Vol. 90, Iss. 5, pp. 1090-1101
Closed Access | Times Cited: 13

Showing 13 citing articles:

Computational evaluation and benchmark study of 342 crystallographic holo-structures of SARS-CoV-2 Mpro enzyme
Hamlet Khachatryan, Mher Matevosyan, Vardan Harutyunyan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5

Unveiling mutation effects on the structural dynamics of the main protease from SARS-CoV-2 with hybrid simulation methods
P. Gasparini, Eric Allison Philot, Simone Queiroz Pantaleão, et al.
Journal of Molecular Graphics and Modelling (2023) Vol. 121, pp. 108443-108443
Open Access | Times Cited: 6

Compromise in Docking Power of Liganded Crystal Structures of Mpro SARS-CoV-2 Surpasses 90% Success Rate
Dávid Zajaček, Adriána Dunárová, Lukáš Bučinský, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1628-1643
Closed Access | Times Cited: 1

SAnDReS 2.0: Development of machine‐learning models to explore the scoring function space
Walter Filgueira de Azevedo, Rodrigo Quiroga, Marcos A. Villarreal, et al.
Journal of Computational Chemistry (2024) Vol. 45, Iss. 27, pp. 2333-2346
Closed Access | Times Cited: 1

Improving protein-ligand docking results using the Semiempirical quantum mechanics: testing on the PDBbind 2016 core set
Zainab Mohebbinia, Rohoullah Firouzi, Mohammad Hossein Karimi‐Jafari
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-11
Closed Access

In silico study of alkaloids with quercetin nucleus for inhibition of SARS-CoV-2 protease and receptor cell protease
Ali Mohebbi, Marzieh Eskandarzadeh, Hanieh Zangi, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0298201-e0298201
Open Access

Are protein–ligand docking programs good enough to predict experimental poses of noncovalent ligands bound to the SARS-CoV-2 main protease?
Ariadna Llop-Peiró, Guillem Macip, Santiago Garcı́a-Vallvé, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 10, pp. 104137-104137
Open Access

Identification of Potential Anti‐COVID‐19 Drug Leads from Medicinal Plants through Virtual High‐Throughput Screening
Rohoullah Firouzi, Mitra Ashouri
ChemistrySelect (2023) Vol. 8, Iss. 7
Closed Access | Times Cited: 1

Computational Repurposing of Potential Dimerization Inhibitors against SARS-CoV-2 Main Protease
Subhomoi Borkotoky, Archisha Prakash, Gyan Modi, et al.
Letters in Drug Design & Discovery (2023) Vol. 21, Iss. 4, pp. 799-808
Closed Access

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