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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:

High predictive QSAR models for predicting the SARS coronavirus main protease inhibition activity of ketone-based covalent inhibitors
Bakhtyar Sepehri, Mohammad Kohnehpoushi, Raouf Ghavami
Journal of the Iranian Chemical Society (2021) Vol. 19, Iss. 5, pp. 1865-1876
Closed Access | Times Cited: 9

Showing 9 citing articles:

Targeting SARS-CoV-2 Main Protease for Treatment of COVID-19: Covalent Inhibitors Structure–Activity Relationship Insights and Evolution Perspectives
Gabriele La Monica, Alessia Bono, Antonino Lauria, et al.
Journal of Medicinal Chemistry (2022) Vol. 65, Iss. 19, pp. 12500-12534
Open Access | Times Cited: 97
Core, Coating, or Corona? The Importance of Considering Protein Coronas in nano-QSPR Modeling of Zeta Potential
Selvaraj Sengottiyan, Alicja Mikołajczyk, Karolina Jagiełło, et al.
ACS Nano (2023) Vol. 17, Iss. 3, pp. 1989-1997
Open Access | Times Cited: 26
Reliable method for predicting the binding affinity of RNA-small molecule interactions using machine learning
Sowmya Ramaswamy Krishnan, Arijit Roy, M. Michael Gromiha
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 8
Design and evaluation of piperidine carboxamide derivatives as potent ALK inhibitors through 3D-QSAR modeling, artificial neural network and computational analysis
Yakun Zhang, Jianbo Tong, Mu-Xuan Luo, et al.
Arabian Journal of Chemistry (2024) Vol. 17, Iss. 9, pp. 105863-105863
Open Access | Times Cited: 3
QSAR Modeling, Molecular Docking and ADMET Study of Aryl Fluorosulfate Derivatives as Potential Anti-TB Agents
Yakun Zhang, Jianbo Tong, Jia-Le Guo, et al.
Polycyclic aromatic compounds (2024), pp. 1-19
Closed Access | Times Cited: 1
Novel and Predictive QSAR Model and Molecular Docking: New Natural Sulfonamides of Potential Concern against SARS-Cov-2
Nathalie Moussa, Huda Mando
Anti-Infective Agents (2023) Vol. 21, Iss. 5
Closed Access | Times Cited: 1
Robust and predictive QSAR models for predicting the D2, 5-HT1A, and 5-HT2A inhibition activities of fused tricyclic heterocycle piperazine (piperidine) derivatives as atypical antipsychotic drugs
Roya Ahmadi, Bakhtyar Sepehri, Raouf Ghavami, et al.
Journal of Molecular Structure (2022) Vol. 1259, pp. 132753-132753
Closed Access | Times Cited: 2
The prediction of SARS-CoV-2 main protease inhibition with filtering by position of ligand
Ya.O. Ivanova, A.I. Voronina, V.S. Skvortsov
Biomeditsinskaya Khimiya (2022) Vol. 68, Iss. 6, pp. 444-458
Open Access | Times Cited: 1
Predicting the Activity of Molecules against SARS-CoV-2 using Machine Learning Techniques and Stacked Generalization
Chrysoula Gousiadou, Haralambos Sarimveis
Research Square (Research Square) (2022)
Open Access
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