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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:

Quantitative Polypharmacology Profiling Based on a Multifingerprint Similarity Predictive Approach
Fulvio Ciriaco, Nicola Gambacorta, Domenico Alberga, et al.
Journal of Chemical Information and Modeling (2021) Vol. 61, Iss. 10, pp. 4868-4876
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

PLATO: A Predictive Drug Discovery Web Platform for Efficient Target Fishing and Bioactivity Profiling of Small Molecules
Fulvio Ciriaco, Nicola Gambacorta, Daniela Trisciuzzi, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 5245-5245
Open Access | Times Cited: 43
TISBE: A Public Web Platform for the Consensus-Based Explainable Prediction of Developmental Toxicity
Fabrizio Mastrolorito, Maria Vittoria Togo, Nicola Gambacorta, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 2, pp. 323-339
Closed Access | Times Cited: 9
TIRESIA: An eXplainable Artificial Intelligence Platform for Predicting Developmental Toxicity
Maria Vittoria Togo, Fabrizio Mastrolorito, Fulvio Ciriaco, et al.
Journal of Chemical Information and Modeling (2022) Vol. 63, Iss. 1, pp. 56-66
Closed Access | Times Cited: 26
CIRCE: Web-Based Platform for the Prediction of Cannabinoid Receptor Ligands Using Explainable Machine Learning
Nicola Gambacorta, Fulvio Ciriaco, Nicola Amoroso, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 18, pp. 5916-5926
Closed Access | Times Cited: 19
An Integrated Machine Learning Model To Spot Peptide Binding Pockets in 3D Protein Screening
Daniela Trisciuzzi, Lydia Siragusa, Massimo Baroni, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 24, pp. 6812-6824
Closed Access | Times Cited: 19
Recent Advances on Type-2 Cannabinoid (CB2) Receptor Agonists and their Therapeutic Potential
Valeria Gasperi, Tatiana Guzzo, Alessandra Topai, et al.
Current Medicinal Chemistry (2022) Vol. 30, Iss. 12, pp. 1420-1457
Closed Access | Times Cited: 18
MolPredictX: Online Biological Activity Predictions by Machine Learning Models
Marcus Tullius Scotti, Chonny Herrera‐Acevedo, Renata Priscila Barros de Menezes, et al.
Molecular Informatics (2022) Vol. 41, Iss. 12
Closed Access | Times Cited: 14
Rational Discovery of Antiviral Whey Protein-Derived Small Peptides Targeting the SARS-CoV-2 Main Protease
Nicola Gambacorta, Leonardo Caputo, Laura Quintieri, et al.
Biomedicines (2022) Vol. 10, Iss. 5, pp. 1067-1067
Open Access | Times Cited: 12
Synthesis of Novel Benzo[b][1,6]naphthyridine Derivatives and Investigation of Their Potential as Scaffolds of MAO Inhibitors
Л. Н. Куликова, Ghulam Reza Raesi, D.D. Levickaya, et al.
Molecules (2023) Vol. 28, Iss. 4, pp. 1662-1662
Open Access | Times Cited: 5
From Deep Learning to the Discovery of Promising VEGFR‐2 Inhibitors
Mehmet Ali Yucel, Ercan Adal, Mine Buga Aktekin, et al.
ChemMedChem (2024) Vol. 19, Iss. 16
Open Access | Times Cited: 1
Recent Advances in Nanodrug Delivery Systems Production, Efficacy, Safety, and Toxicity
Antonio Lopalco, Rosa Maria Iacobazzi, Angela Lopedota, et al.
Methods in molecular biology (2024), pp. 303-332
Closed Access | Times Cited: 1
Investigating the Benefit-Risk Profile of Drugs: From Spontaneous Reporting Systems to Real-World Data for Pharmacovigilance
Paola Imbrici, Michela De Bellis, Antonella Liantonio, et al.
Methods in molecular biology (2024), pp. 333-349
Closed Access | Times Cited: 1
Design of new Mcl-1 inhibitors for cancer using fragments hybridization, molecular docking, and molecular dynamics studies
Abdulrahim A. Alzain, Fatima A. Elbadwi, Rua M. Mukhtar, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-13
Closed Access | Times Cited: 4
Benzothiazole Derivatives Endowed with Antiproliferative Activity in Paraganglioma and Pancreatic Cancer Cells: Structure–Activity Relationship Studies and Target Prediction Analysis
Rosa Amoroso, Laura De Lellis, Rosalba Florio, et al.
Pharmaceuticals (2022) Vol. 15, Iss. 8, pp. 937-937
Open Access | Times Cited: 7
Towards Alzheimer’s disease-related targets: One-pot Cu(I)- mediated synthesis of new nitroindazolyltriazoles
Mohammed Eddahmi, Gabriella La Spada, Abderrafia Hafid, et al.
Bioorganic Chemistry (2022) Vol. 130, pp. 106261-106261
Closed Access | Times Cited: 7
Artificial intelligence-driven identification of morin analogues acting as CaV1.2 channel blockers: Synthesis and biological evaluation
Gabriele Carullo, Federica Falbo, Amer Ahmed, et al.
Bioorganic Chemistry (2022) Vol. 131, pp. 106326-106326
Closed Access | Times Cited: 7
How do we further enhance 2D fingerprint similarity searching for novel drug discovery?
Ingo Muegge, Yuan Hu
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 11, pp. 1173-1176
Closed Access | Times Cited: 5
Oxacyanopyridine-Benzofuran Hybrids: Synthesis, in silico Toxicity Assessment, in vitro Antimicrobial Activity and Dual Target Docking Studies
Bhargavi Posinasetty, Jaiswal Ashish Ashokkumar, Rajendra Prasad Yejjella, et al.
Asian Journal of Chemistry (2024) Vol. 36, Iss. 3, pp. 593-602
Open Access
In Vitro Cell-Based MTT and Crystal Violet Assays for Drug Toxicity Screening
Alessandra Gambacurta, Valentina Tullio, Isabella Savini, et al.
Methods in molecular biology (2024), pp. 293-301
Closed Access
The Potential of Molecular Docking for Predictive Toxicology
Pietro Cozzini, Federica Agosta
Methods in molecular biology (2024), pp. 171-180
Closed Access
MolPredictX: A Pioneer Mobile App Version for Online Biological Activity Predictions by Machine Learning Models
Luciana Scotti, Emmanuella Faustino Albuquerque, Ciro Gomes da Silva, et al.
Methods in molecular biology (2024), pp. 351-371
Closed Access
Machine Learning in Early Prediction of Metabolism of Drugs
Marta Lettieri, M.D. Rodda, Virginia Carlucci
Methods in molecular biology (2024), pp. 275-291
Closed Access
TIRESIA and TISBE: Explainable Artificial Intelligence Based Web Platforms for the Transparent Assessment of the Developmental Toxicity of Chemicals and Drugs
Maria Vittoria Togo, Fabrizio Mastrolorito, Nicola Gambacorta, et al.
Methods in molecular biology (2024), pp. 373-391
Closed Access
Virtual Reverse Screening Approach to Target Type 2 Cannabinoid Receptor
Fulvio Ciriaco, Nicola Gambacorta, Francesco Leonetti, et al.
Methods in molecular biology (2022), pp. 495-504
Closed Access | Times Cited: 3
Machine learning resources for drug design
Nicola Gambacorta, Daniela Trisciuzzi, Fulvio Ciriaco, et al.
Elsevier eBooks (2023), pp. 663-678
Closed Access | Times Cited: 1
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