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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:

Hyphenated 3D-QSAR statistical model-drug repurposing analysis for the identification of potent neuraminidase inhibitor
Rohini Karunakaran, V. Shanthi
Cell Biochemistry and Biophysics (2018) Vol. 76, Iss. 3, pp. 357-376
Open Access | Times Cited: 12

Showing 12 citing articles:

Drug Repurposing Approaches for the Treatment of Influenza Viral Infection: Reviving Old Drugs to Fight Against a Long-Lived Enemy
Andrés Pizzorno, Blandine Padey, Olivier Terrier, et al.
Frontiers in Immunology (2019) Vol. 10
Open Access | Times Cited: 114
Peptides as epigenetic modulators: therapeutic implications
Yorick Janssens, Evelien Wynendaele, Wim Vanden Berghe, et al.
Clinical Epigenetics (2019) Vol. 11, Iss. 1
Open Access | Times Cited: 32
Multi-Condition QSAR Model for the Virtual Design of Chemicals with Dual Pan-Antiviral and Anti-Cytokine Storm Profiles
Alejandro Speck‐Planche, Valeria V. Kleandrova
ACS Omega (2022) Vol. 7, Iss. 36, pp. 32119-32130
Open Access | Times Cited: 18
Computational repurposing of drugs for viral diseases and current and future pandemics
David A. Winkler
Journal of Mathematical Chemistry (2024) Vol. 62, Iss. 10, pp. 2844-2879
Open Access | Times Cited: 3
Design, synthesis and biological evaluation of “Multi-Site”-binding influenza virus neuraminidase inhibitors
Ruifang Jia, Jian Zhang, Wei Ai, et al.
European Journal of Medicinal Chemistry (2019) Vol. 178, pp. 64-80
Closed Access | Times Cited: 27
Design and Synthesis of Novel Oxime Ester Photoinitiators Augmented by Automated Machine Learning
Won Jung Lee, H. Shaun Kwak, Deuk-rak Lee, et al.
Chemistry of Materials (2021) Vol. 34, Iss. 1, pp. 116-127
Closed Access | Times Cited: 19
Multi-Dimensional Screening Strategy for Drug Repurposing with Statistical Framework—A New Road to Influenza Drug discovery
K. Rohini, K. Ramanathan, V. Shanthi
Cell Biochemistry and Biophysics (2019) Vol. 77, Iss. 4, pp. 319-333
Closed Access | Times Cited: 20
In silico identification of hydantoin derivatives: a novel natural prolyl hydroxylase inhibitor
Mahesh Kumar Teli, Surendra Kumar, Dharmendra Kumar Yadav, et al.
Journal of Biomolecular Structure and Dynamics (2020) Vol. 39, Iss. 2, pp. 703-717
Closed Access | Times Cited: 12
AI-Driven Drug Discovery and Development
Naureen Afrose, Rideb Chakraborty, Ahana Hazra, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 259-277
Closed Access | Times Cited: 1
Exploring the antidiabetic potential of compounds isolated from Anacardium occidentale using computational aproach: ligand-based virtual screening
Victor Okoliko Ukwenya, Sunday Aderemi Adelakun, Olusola Olalekan Elekofehinti
In Silico Pharmacology (2021) Vol. 9, Iss. 1
Open Access | Times Cited: 9
Discovery of Potent Covid-19 Main Protease Inhibitors Using Machine Learning Based Virtual Screening Strategy
Muthu Kumar Thirunavukkarasu, K Rohini, Nivya James, et al.
(2020)
Closed Access
Discovery of Potent Covid-19 Main Protease Inhibitors Using Machine Learning Based Virtual Screening Strategy
Muthu Kumar Thirunavukkarasu, Rohini Karunakaran, Nivya James, et al.
(2020)
Closed Access
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