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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:

PTML Modeling for Pancreatic Cancer Research: In Silico Design of Simultaneous Multi-Protein and Multi-Cell Inhibitors
Valeria V. Kleandrova, Alejandro Speck‐Planche
Biomedicines (2022) Vol. 10, Iss. 2, pp. 491-491
Open Access | Times Cited: 24

Showing 24 citing articles:

How to correctly develop q-RASAR models for predictive cheminformatics
Arkaprava Banerjee, Kunal Roy
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 9, pp. 1017-1022
Closed Access | Times Cited: 10
Perturbation-theory machine learning for mood disorders: virtual design of dual inhibitors of NET and SERT proteins
Alejandro Speck‐Planche, Valeria V. Kleandrova, M. Natália D. S. Cordeiro
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access
General structure-activity relationship models for the inhibitors of Adenosine receptors: A machine learning approach
Mona Janbozorgi, Sara Kaveh, M. S. Neiband, et al.
Molecular Diversity (2025)
Closed Access
In Silico Approach for Antibacterial Discovery: PTML Modeling of Virtual Multi-Strain Inhibitors Against Staphylococcus aureus
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, M. Natália D. S. Cordeiro
Pharmaceuticals (2025) Vol. 18, Iss. 2, pp. 196-196
Open Access
Advancements in Preclinical Models of Pancreatic Cancer
P Salu, Katie M. Reindl
Pancreas (2024) Vol. 53, Iss. 2, pp. e205-e220
Closed Access | Times Cited: 4
Perturbation Theory Machine Learning Model for Phenotypic Early Antineoplastic Drug Discovery: Design of Virtual Anti-Lung-Cancer Agents
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9344-9344
Open Access | Times Cited: 3
Artificial intelligence and cheminformatics tools: a contribution to the drug development and chemical science
Ifra Saifi, Basharat Ahmad Bhat, Syed Suhail Hamdani, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 12, pp. 6523-6541
Closed Access | Times Cited: 10
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: 16
VGAE-MCTS: A New Molecular Generative Model Combining the Variational Graph Auto-Encoder and Monte Carlo Tree Search
Hiroaki Iwata, Taichi Nakai, Takuto Koyama, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 23, pp. 7392-7400
Open Access | Times Cited: 8
Breakthroughs in AI and Multi-Omics for Cancer Drug Discovery: A Review
Israr Fatima, Abdur Rehman, Yanheng Ding, et al.
European Journal of Medicinal Chemistry (2024) Vol. 280, pp. 116925-116925
Closed Access | Times Cited: 2
Moving Average-Based Multitasking In Silico Classification Modeling: Where Do We Stand and What Is Next?
Amit Kumar Halder, Ana S. Moura, M. Natália D. S. Cordeiro
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 9, pp. 4937-4937
Open Access | Times Cited: 13
Artifical intelligence: a virtual chemist for natural product drug discovery
Shefali Arora, S. Chettri, Versha Percha, et al.
Journal of Biomolecular Structure and Dynamics (2023) Vol. 42, Iss. 7, pp. 3826-3835
Closed Access | Times Cited: 5
Current In Silico Methods for Multi-Target Drug Discovery in Early Anticancer Research: The Rise of the Perturbation-Theory Machine Learning Approach
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Future Medicinal Chemistry (2023) Vol. 15, Iss. 18, pp. 1647-1650
Closed Access | Times Cited: 5
Design and Optimization of Quinazoline Derivatives as Potent EGFR Inhibitors for Lung Cancer Treatment: A Comprehensive QSAR, ADMET, and Molecular Modeling Investigation
Mohamed Moussaoui, Soukayna Baammi, Hatim Soufi, et al.
ACS Omega (2024) Vol. 9, Iss. 46, pp. 45842-45857
Open Access | Times Cited: 1
Optimizing drug discovery using multitasking models for quantitative structure–biological effect relationships: an update of the literature
Valeria V. Kleandrova, M. Natália D. S. Cordeiro, Alejandro Speck‐Planche
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 11, pp. 1231-1243
Closed Access | Times Cited: 4
Maximizing the integration of virtual and experimental screening in hit discovery
Dávid Bajusz, György M. Keserű
Expert Opinion on Drug Discovery (2022) Vol. 17, Iss. 6, pp. 629-640
Open Access | Times Cited: 7
Overproduce and select, or determine optimal molecular descriptor subset via configuration space optimization? Application to the prediction of ecotoxicological endpoints
Luis A. García‐González, Yovani Marrero‐Ponce, Carlos A. Brizuela, et al.
Molecular Informatics (2023) Vol. 42, Iss. 6
Closed Access | Times Cited: 3
Molecular Design of Novel Herbicide and Insecticide Seed Compounds with Machine Learning
Yuki Nakayama, S Morishita, Hayato Doi, et al.
ACS Omega (2024) Vol. 9, Iss. 16, pp. 18488-18494
Open Access
Support Vector Machine-Based Prediction Models for Drug Repurposing and Designing Novel Drugs for Colorectal Cancer
Avik Sengupta, Saurabh Kumar Singh, Rahul Kumar
ACS Omega (2024) Vol. 9, Iss. 16, pp. 18584-18592
Open Access
Highly Accurate and Explainable Predictions of Small-Molecule Antioxidants for Eight In Vitro Assays Simultaneously through an Alternating Multitask Learning Strategy
Duancheng Zhao, Yanhong Zhang, Yihao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Investigation of dual JAK2 and HDAC6 inhibitors using machine learning methods
Yuquan Zhang, Yan Li
New Journal of Chemistry (2024)
Closed Access
Recent advances from computer-aided drug design to artificial intelligence drug design
Keran Wang, Yanwen Huang, Yongxian Wang, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 12, pp. 3978-4000
Closed Access
MVGNet: Prediction of PI3K Inhibitors Using Multitask Learning and Multiview Frameworks
Yanlei Kang, Qiwei Xia, Yunliang Jiang, et al.
ACS Omega (2024) Vol. 9, Iss. 45, pp. 45159-45168
Open Access
AISMPred: A Machine Learning Approach for Predicting Anti-Inflammatory Small Molecules
Subathra Selvam, Priya Dharshini Balaji, Honglae Sohn, et al.
Pharmaceuticals (2024) Vol. 17, Iss. 12, pp. 1693-1693
Open Access
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