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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:

Alvascience: A New Software Suite for the QSAR Workflow Applied to the Blood–Brain Barrier Permeability
Andrea Mauri, Matteo Bertola
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 12882-12882
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Application of artificial intelligence and machine learning in early detection of adverse drug reactions (ADRs) and drug-induced toxicity
Siyun Yang, Supratik Kar
Artificial Intelligence Chemistry (2023) Vol. 1, Iss. 2, pp. 100011-100011
Open Access | Times Cited: 43
Quantitative prediction of toxicological points of departure using two-stage machine learning models: A new approach methodology (NAM) for chemical risk assessment
Vaisali Chandrasekar, Saad Mohammad, Omar M. Aboumarzouk, et al.
Journal of Hazardous Materials (2025) Vol. 487, pp. 137071-137071
Closed Access
Pharmacophore-guided computational modeling of quinolone-ATPase conjugate inhibitors targeting DNA GyrB subunit of Staphylococcus aureus
Md. Al Amin, Md. Jakir Hossain, Md. Kawsar Habib, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109727-109727
Closed Access
Classification-based machine learning approaches to predict the taste of molecules: A review
Cristian Rojas, Davide Ballabio, Viviana Consonni, et al.
Food Research International (2023) Vol. 171, pp. 113036-113036
Open Access | Times Cited: 18
Comparative Analysis of pKa Predictions for Arsonic Acids Using Density Functional Theory-Based and Machine Learning Approaches
Miroslava Nedyalkova, Diana Heredia, Joaquín Barroso‐Flores, et al.
ACS Omega (2025)
Open Access
Computational Modeling of Pharmaceuticals with an Emphasis on Crossing the Blood–Brain Barrier
Patrícia Alencar Alves, Luana Cristina Camargo, Gabriel Souza, et al.
Pharmaceuticals (2025) Vol. 18, Iss. 2, pp. 217-217
Open Access
Predictive classification-based read-across for diverse functional vitiligo-linked chemical exposomes (ViCE): A new approach for the assessment of chemical safety for the vitiligo disease in humans
Shilpayan Ghosh, Sapna Kumari Pandey, Kunal Roy
Toxicology in Vitro (2025) Vol. 104, pp. 106018-106018
Closed Access
Permea-Design: An Innovative Tool for Generating Triply Periodic Minimal Surface Scaffolds with Tailored Permeability
Matthew Bedding-Tyrrell, Bjørnar Sandnes, Perumal Nithiarasu, et al.
Journal of Manufacturing and Materials Processing (2025) Vol. 9, Iss. 3, pp. 72-72
Open Access
AlvaBuilder: A Software for De Novo Molecular Design
Andrea Mauri, Matteo Bertola
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 7, pp. 2136-2142
Open Access | Times Cited: 12
Multi-Endpoint Acute Toxicity Assessment of Organic Compounds Using Large-Scale Machine Learning Modeling
Amirreza Daghighi, Gerardo M. Casañola‐Martín, Kweeni Iduoku, et al.
Environmental Science & Technology (2024) Vol. 58, Iss. 23, pp. 10116-10127
Closed Access | Times Cited: 4
Design of Potent Inhibitors Targeting the Main Protease of SARS-CoV-2 Using QSAR Modeling, Molecular Docking, and Molecular Dynamics Simulations
Mehdi Oubahmane, Ismail Hdoufane, Christelle Delaite, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 4, pp. 608-608
Open Access | Times Cited: 10
A comparative study of the predictive performance of different descriptor calculation tools: Molecular-based elution order modeling and interpretation of retention mechanism for isomeric compounds from METLIN database
Darija Obradović, А. Н. Ставрианиди, E. S. Fedorova, et al.
Journal of Chromatography A (2024) Vol. 1719, pp. 464731-464731
Closed Access | Times Cited: 3
Unveiling first report on in silico modeling of aquatic toxicity of organic chemicals to Labeo rohita (Rohu) employing QSAR and q-RASAR
Andrea Gallagher, Supratik Kar
Chemosphere (2023) Vol. 349, pp. 140810-140810
Closed Access | Times Cited: 9
Computational Modeling of Human Serum Albumin Binding of Per- and Polyfluoroalkyl Substances Employing QSAR, Read-Across, and Docking
Andrea Gallagher, Supratik Kar, Marı́a S. Sepúlveda
Molecules (2023) Vol. 28, Iss. 14, pp. 5375-5375
Open Access | Times Cited: 8
Discerning of isatin-based monoamine oxidase (MAO) inhibitors for neurodegenerative disorders by exploiting 2D, 3D-QSAR modelling and molecular dynamics simulation
Sunil Kumar, Jayalakshmi Jayan, Amritha Manoharan, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 5, pp. 2328-2340
Closed Access | Times Cited: 7
Drug design of new anti-EBOV inhibitors: QSAR, homology modeling, molecular docking and molecular dynamics studies
Nouhaila Ait Lahcen, Wissal Liman, Mehdi Oubahmane, et al.
Arabian Journal of Chemistry (2024) Vol. 17, Iss. 9, pp. 105870-105870
Open Access | Times Cited: 2
On the Development of Descriptor-Based Machine Learning Models for Thermodynamic Properties: Part 1—From Data Collection to Model Construction: Understanding of the Methods and Their Effects
Cindy Trinh, Youssef Tbatou, Silvia Lasala, et al.
Processes (2023) Vol. 11, Iss. 12, pp. 3325-3325
Open Access | Times Cited: 5
Computational prediction of retention times of veterinary antibiotics obtained by liquid chromatography‐mass spectrometry
Cristian Rojas, Nicole Sarmiento, Emilia Ayora, et al.
Journal of the Science of Food and Agriculture (2024) Vol. 104, Iss. 11, pp. 6724-6732
Closed Access | Times Cited: 1
In Silico and In Vitro Studies of Terpenes from the Fabaceae Family Using the Phenotypic Screening Model against the SARS-CoV-2 Virus
Natália Ferreira de Sousa, Gabrielly Diniz Duarte, Carolina Borsoi Moraes, et al.
(2024)
Open Access | Times Cited: 1
Classification Model of Pesticide Toxicity in Americamysis bahia Based on Quantum Chemical Descriptors
Limin Dang
Archives of Environmental Contamination and Toxicology (2024) Vol. 87, Iss. 1, pp. 69-77
Closed Access | Times Cited: 1
In Silico and In Vitro Studies of Terpenes from the Fabaceae Family Using the Phenotypic Screening Model against the SARS-CoV-2 Virus
Natália Ferreira de Sousa, Gabrielly Diniz Duarte, Carolina Borsoi Moraes, et al.
Pharmaceutics (2024) Vol. 16, Iss. 7, pp. 912-912
Open Access | Times Cited: 1
The potential of Chlorella spp. as antiviral source against African swine fever virus through a virtual screening pipeline
Albert Neil G. Dulay, John Christian C. de Guzman, Zyra Ysha D. Marquez, et al.
Journal of Molecular Graphics and Modelling (2024) Vol. 132, pp. 108846-108846
Closed Access | Times Cited: 1
Quantitative Structure-Property Relationship for Gas-Chromatographic Retention Indices of Volatile Organic Compounds in Colored-Quinoa Seeds
Cristian Rojas, Juan Fernando Cedillo, Nicole Sarmiento, et al.
Journal of Food Composition and Analysis (2024) Vol. 137, pp. 106843-106843
Closed Access | Times Cited: 1
In silico identification of Nipah virus protein inhibitors from secondary metabolites of medicinal plants using a high-throughput virtual screening approach
John Christian C. de Guzman, Albert Neil G. Dulay, Fredmoore L. Orosco
Journal of Biomolecular Structure and Dynamics (2024), pp. 1-20
Closed Access | Times Cited: 1
Chemoinformatic modelling of the antioxidant activity of phenolic compounds
Alondra M Idrovo‐Encalada, Ana M. Rojas, Eliana N. Fissore, et al.
Journal of the Science of Food and Agriculture (2023) Vol. 103, Iss. 10, pp. 4867-4875
Closed Access | Times Cited: 4
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