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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:

pdCSM-GPCR: predicting potent GPCR ligands with graph-based signatures
João Paulo Linhares Velloso, David B. Ascher, Douglas E. V. Pires
Bioinformatics Advances (2021) Vol. 1, Iss. 1
Open Access | Times Cited: 16

Showing 16 citing articles:

Orphan G protein-coupled receptors: the ongoing search for a home
Amie Jobe, Ranjit Vijayan
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 10
cardioToxCSM: A Web Server for Predicting Cardiotoxicity of Small Molecules
Saba Iftkhar, Alex G. C. de Sá, João Paulo Linhares Velloso, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 20, pp. 4827-4836
Closed Access | Times Cited: 27
cropCSM: designing safe and potent herbicides with graph-based signatures
Douglas E. V. Pires, Keith A. Stubbs, Joshua S. Mylne, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 2
Open Access | Times Cited: 25
toxCSM: comprehensive prediction of small molecule toxicity profiles
Alex G. C. de Sá, Yangyang Long, Stephanie Portelli, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 24
AiGPro: a multi-tasks model for profiling of GPCRs for agonist and antagonist
Rahul Brahma, Sung‐Hyun Moon, Jaemin Shin, et al.
Journal of Cheminformatics (2025) Vol. 17, Iss. 1
Open Access
The Application of Artificial Intelligence Accelerates G Protein-Coupled Receptor Ligand Discovery
Wei Chen, Chi Song, Liang Leng, et al.
Engineering (2023) Vol. 32, pp. 18-28
Open Access | Times Cited: 10
AI-driven GPCR analysis, engineering, and targeting
João Paulo Linhares Velloso, Aaron S. Kovacs, Douglas E. V. Pires, et al.
Current Opinion in Pharmacology (2024) Vol. 74, pp. 102427-102427
Closed Access | Times Cited: 3
Decrypting orphan GPCR drug discovery via multitask learning
Wei‐Cheng Huang, Wei-Ting Lin, Ming‐Shiu Hung, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 2
FP-MAP: an extensive library of fingerprint-based molecular activity prediction tools
Vishwesh Venkatraman
Frontiers in Chemistry (2023) Vol. 11
Open Access | Times Cited: 5
Exploring the Therapeutic Potential of Petiveria alliacea L. Phytochemicals: A Computational Study on Inhibiting SARS-CoV-2’s Main Protease (Mpro)
Md. Ahad Ali, Humaira Sheikh, Muhammad Yaseen, et al.
Molecules (2024) Vol. 29, Iss. 11, pp. 2524-2524
Open Access | Times Cited: 1
piscesCSM: prediction of anticancer synergistic drug combinations
Raghad Al‐Jarf, Carlos H. M. Rodrigues, Yoochan Myung, et al.
Journal of Cheminformatics (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 1
AI-Driven Enhancements in Drug Screening and Optimization
Adam Serghini, Stephanie Portelli, David B. Ascher
Methods in molecular biology (2023), pp. 269-294
Closed Access | Times Cited: 4
Opsin expression varies across larval development and taxa in pteriomorphian bivalves
Md. Shazid Hasan, Kyle E. McElroy, Jorge A. Audino, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 1
Engineering G protein‐coupled receptors for stabilization
João Paulo Linhares Velloso, Alex G. C. de Sá, Douglas E. V. Pires, et al.
Protein Science (2024) Vol. 33, Iss. 6
Open Access
AI-m6ARS: Machine learning-driven m6A RNA methylation site discovery with integrated sequence, conservation, and geographical descriptors
Korawich Uthayopas, Alex G. C. de Sá, David B. Ascher
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
Leveraging Artificial Intelligence in GPCR Activation Studies: Computational Prediction Methods as Key Drivers of Knowledge
Ana B. Caniceiro, Urszula Orzeł, Nícia Rosário‐Ferreira, et al.
Methods in molecular biology (2024), pp. 183-220
Closed Access
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