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.

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Showing 26-50 of 64 citing articles:

The importance of good practices and false hits for QSAR-driven virtual screening real application: a SARS-CoV-2 main protease (Mpro) case study
Mateus Sá Magalhães Serafim, Simone Queiroz Pantaleão, Elany Barbosa da Silva, et al.
Frontiers in Drug Discovery (2023) Vol. 3
Open Access | Times Cited: 6

Ligand-based quantitative structural assessments of SARS-CoV-2 3CLpro inhibitors: An analysis in light of structure-based multi-molecular modeling evidences
Nilanjan Adhikari, Suvankar Banerjee, Sandip Kumar Baidya, et al.
Journal of Molecular Structure (2021) Vol. 1251, pp. 132041-132041
Open Access | Times Cited: 15

Characterizing the ligand-binding affinity toward SARS-CoV-2 Mproviaphysics- and knowledge-based approaches
Son Tung Ngo, Trung Hai Nguyen, Nguyễn Thanh Tùng, et al.
Physical Chemistry Chemical Physics (2022) Vol. 24, Iss. 48, pp. 29266-29278
Closed Access | Times Cited: 10

Combining DEVS simulation and ontological modeling for hierarchical analysis of the SARS-CoV-2 replication
Ali Ayadi, Claudia Frydman, Wissame Laddada, et al.
SIMULATION (2023) Vol. 99, Iss. 10, pp. 1011-1039
Open Access | Times Cited: 5

Exploring naphthyl derivatives as SARS-CoV papain-like protease (PLpro) inhibitors and its implications in COVID-19 drug discovery
Sk. Abdul Amin, Kalyan Ghosh, Samayaditya Singh, et al.
Molecular Diversity (2021) Vol. 26, Iss. 1, pp. 215-228
Open Access | Times Cited: 13

Robust classification-based molecular modelling of diverse chemical entities as potential SARS-CoV-2 3CLpro inhibitors: theoretical justification in light of experimental evidences
Nilanjan Adhikari, Suvankar Banerjee, Sandip Kumar Baidya, et al.
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 6, pp. 473-493
Closed Access | Times Cited: 13

A multilevel approach for screening natural compounds as an antiviral agent for COVID-19
Mahdi Vasighi, Julia Romanova, Miroslava Nedyalkova
Computational Biology and Chemistry (2022) Vol. 98, pp. 107694-107694
Open Access | Times Cited: 9

A review on computational approaches that support the researches on traditional Chinese medicines (TCM) against COVID-19
Chattarin Ruchawapol, Wenwei Fu, Hong‐Xi Xu
Phytomedicine (2022) Vol. 104, pp. 154324-154324
Open Access | Times Cited: 9

Characterization of Metal-Bound Benzimidazole Derivatives, Effects on Tumor Cells of Lung Cancer
Anita Raducka, Agnieszka Czylkowska, Katarzyna Gobis, et al.
Materials (2021) Vol. 14, Iss. 11, pp. 2958-2958
Open Access | Times Cited: 12

Developing New Treatments for COVID-19 through Dual-Action Antiviral/Anti-Inflammatory Small Molecules and Physiologically Based Pharmacokinetic Modeling
Panagiotis Zagaliotis, Anthi Petrou, George A. Mystridis, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 14, pp. 8006-8006
Open Access | Times Cited: 6

Progress on COVID-19 Chemotherapeutics Discovery and Novel Technology
Yalan Zhou, Huizhen Wang, Yang Li, et al.
Molecules (2022) Vol. 27, Iss. 23, pp. 8257-8257
Open Access | Times Cited: 6

Unmasking of crucial structural fragments for coronavirus protease inhibitors and its implications in COVID-19 drug discovery
Kalyan Ghosh, Sk. Abdul Amin, Shovanlal Gayen, et al.
Journal of Molecular Structure (2021) Vol. 1237, pp. 130366-130366
Open Access | Times Cited: 8

A Review of Computational Approaches Targeting SARS-CoV-2 Main Protease to the Discovery of New Potential Antiviral Compounds
Juan A. Castillo‐Garit, Yudith Cañizares-Carmenate, Hai Pham‐The, et al.
Current Topics in Medicinal Chemistry (2022) Vol. 23, Iss. 1, pp. 3-16
Closed Access | Times Cited: 5

Quasi-SMILES as a Tool for Peptide QSAR Modelling
Md. Moinul, Samima Khatun, Sk. Abdul Amin, et al.
Challenges and advances in computational chemistry and physics (2023), pp. 269-294
Closed Access | Times Cited: 2

Evaluation interaction of graphene oxide with heparin for antiviral blockade: a study of ab initio simulations, molecular docking, and experimental analysis
André Flores dos Santos, Mirkos Ortiz Martins, Jerônimo Lameira, et al.
Journal of Molecular Modeling (2023) Vol. 29, Iss. 8
Closed Access | Times Cited: 2

Improved SAR and QSAR models of SARS-CoV-2 Mpro inhibitors based on machine learning
Jianbo Tong, Peng Gao, Hai-Yin Xu, et al.
Journal of Molecular Liquids (2023) Vol. 394, pp. 123708-123708
Closed Access | Times Cited: 2

Recent progress on drugs discovery study for treatment of COVID-19: repurposing existing drugs and current natural bioactive molecules
Ika Oktavianawati, Mardi Santoso, Mohd Fadzelly Abu Bakar, et al.
Applied Biological Chemistry (2023) Vol. 66, Iss. 1
Open Access | Times Cited: 2

Suggestion of active 3-chymotrypsin like protease (3CLPro) inhibitors as potential anti-SARS-CoV-2 agents using predictive QSAR model based on the combination of ALASSO with an ANN model
Zeinab Mozafari, Mansour Arab Chamjangali, ‎M‎ohammad Arashi, et al.
SAR and QSAR in environmental research (2021) Vol. 32, Iss. 11, pp. 863-888
Closed Access | Times Cited: 5

Recent Development in Small Molecules for SARS-CoV-2 and the Opportunity for Fragment-Based Drug Discovery
Sujit Mahato
Medicinal Chemistry (2022) Vol. 18, Iss. 8, pp. 847-858
Closed Access | Times Cited: 3

Discovery and development of lead compounds from natural sources using computational approaches
José L. Medina‐Franco, E. Alexis Flores‐Padilla, Ana L. Chávez‐Hernández
Elsevier eBooks (2022), pp. 539-560
Closed Access | Times Cited: 3

COVID-19 and the Importance of Being Prepared: A Multidisciplinary Strategy for the Discovery of Antivirals to Combat Pandemics
María Gálvez-Llompart, Riccardo Zanni, Jorge Gálvez, et al.
Biomedicines (2022) Vol. 10, Iss. 6, pp. 1342-1342
Open Access | Times Cited: 2

NOVEL SARS-CoV-2 INHIBITORS FROM PHENETHYLTHIAZOLETHIOUREA DERIVATIVES USING HYBRID QSAR MODELS AND DOCKING SIMULATION
Phạm Văn Tất, Thai Hoa Tran, Au Vo Ky, et al.
Smart Science (2021) Vol. 9, Iss. 3, pp. 165-185
Closed Access | Times Cited: 2

Natural Protease Inhibitors and Their Therapeutic Potentials Against SARS-CoV-2
Nilesh Chandrabhan Vadnere, Nitinkumar P. Patil
(2022), pp. 205-226
Closed Access | Times Cited: 1

Development of quantitative ion physic chemistry properties-activity relationship (QIPAR) and docking simulation for sars-covid-2 protein
Pham Van Tat, Nguyen Minh Quang, Bùi Thị Phương Thuý, et al.
Vietnam Journal of Catalysis and Adsorption (2022) Vol. 10, Iss. 1S, pp. 36-43
Open Access | Times Cited: 1

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