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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:

Artificial Intelligence in Drug Metabolism and Excretion Prediction: Recent Advances, Challenges, and Future Perspectives
Thi Tuyet Van Tran, Hilal Tayara, Kil To Chong
Pharmaceutics (2023) Vol. 15, Iss. 4, pp. 1260-1260
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Revolutionizing healthcare: the role of artificial intelligence in clinical practice
Shuroug A. Alowais, Sahar S. Alghamdi, Nada Alsuhebany, et al.
BMC Medical Education (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 885
Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design
Lalitkumar K. Vora, Amol D. Gholap, Keshava Jetha, et al.
Pharmaceutics (2023) Vol. 15, Iss. 7, pp. 1916-1916
Open Access | Times Cited: 360
DrugBank 6.0: the DrugBank Knowledgebase for 2024
Craig Knox, Michael Wilson, Christen M. Klinger, et al.
Nucleic Acids Research (2023) Vol. 52, Iss. D1, pp. D1265-D1275
Open Access | Times Cited: 340
Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery
Shruti Singh, Rajesh Kumar, Shuvasree Payra, et al.
Cureus (2023)
Open Access | Times Cited: 62
Decoding the Role of CYP450 Enzymes in Metabolism and Disease: A Comprehensive Review
Basma Hossam Abdelmonem, Noha M. Abdelaal, Eman K. E. Anwer, et al.
Biomedicines (2024) Vol. 12, Iss. 7, pp. 1467-1467
Open Access | Times Cited: 16
Artificial intelligence in the management of metabolic disorders: a comprehensive review
A Anwar, Simran Rana, Priya Pathak
Journal of Endocrinological Investigation (2025)
Closed Access | Times Cited: 1
Leveraging artificial intelligence (AI) and machine learning (ML) for enhanced drug discovery and development from microbes
Vaibhav Mishra, Sandeep K. Mishra, Akanksha Srivastava, et al.
Methods in microbiology (2024), pp. 125-140
Closed Access | Times Cited: 5
Bidirectional chemical intelligent net: A unified deep learning–based framework for predicting chemical reaction
Xi Xue, Chaoyu Chen, Hanyu Sun, et al.
Chinese Chemical Letters (2025), pp. 110968-110968
Closed Access
A Comprehensive Primer and Review of PROTACs and Their In Silico Design
Jacopo Zattoni, Paola Vottero, Gea Carena, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 264, pp. 108687-108687
Open Access
Chemoinformatics investigation of newly designed borneol and phenolic diterpenoid derivatives as potential anti-influenza A virus agents
Muhammad Tukur Ibrahim, Mustapha Abdullahi, Abdullahi Maikudi Nuhu, et al.
Discover Chemistry. (2025) Vol. 2, Iss. 1
Open Access
The Interplay between Gut Microbiota and Oral Medications and Its Impact on Advancing Precision Medicine
Sara Mousa, Muhammad Sarfraz, Walaa K. Mousa
Metabolites (2023) Vol. 13, Iss. 5, pp. 674-674
Open Access | Times Cited: 14
The Comparison of Machine Learning and Mechanistic In Vitro–In Vivo Extrapolation Models for the Prediction of Human Intrinsic Clearance
Christopher Keefer, George Chang, Li Di, et al.
Molecular Pharmaceutics (2023) Vol. 20, Iss. 11, pp. 5616-5630
Closed Access | Times Cited: 14
Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects
Noorain, Varsha Srivastava, Bushra Parveen, et al.
Current Drug Metabolism (2023) Vol. 24, Iss. 9, pp. 622-634
Closed Access | Times Cited: 12
Design strategies, advances and future perspectives of colon-targeted delivery systems for the treatment of inflammatory bowel disease
Baoxin Zheng, Liping Wang, Yan Yi, et al.
Asian Journal of Pharmaceutical Sciences (2024) Vol. 19, Iss. 4, pp. 100943-100943
Open Access | Times Cited: 4
A review of DNA nanoparticles-encapsulated drug/gene/protein for advanced controlled drug release: Current status and future perspective over emerging therapy approaches
Ghazal Kadkhodaie Kashani, Seyed Morteza Naghib, Sina Soleymani, et al.
International Journal of Biological Macromolecules (2024) Vol. 268, pp. 131694-131694
Closed Access | Times Cited: 3
Sensitivity Analysis and Uncertainty Quantification of Nanoparticle Deposition from Tongue Morphological Variations
Tiancheng Yang, Xiuhua Si, Jinxiang Xi
Life (2024) Vol. 14, Iss. 3, pp. 406-406
Open Access | Times Cited: 2
A review of the current trends in computational approaches in drug design and metabolism
Russell B. O. Ouma, Silas M. Ngari, Joshua K. Kibet
Deleted Journal (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 2
Molecular modelling studies of substituted indole derivatives as novel influenza a virus inhibitors
Mustapha Abdullahi, Adamu Uzairu, Gideon Adamu Shallangwa, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-20
Closed Access | Times Cited: 7
Improving ADMET Prediction Accuracy for Candidate Drugs: Factors to Consider in QSPR Modeling Approaches
Meilun Chen, Jie Yang, Chunhua Tang, et al.
Current Topics in Medicinal Chemistry (2023) Vol. 24, Iss. 3, pp. 222-242
Closed Access | Times Cited: 6
Arnicolide D: a multi-targeted anticancer sesquiterpene lactone—preclinical efficacy and mechanistic insights
Shivaprasad Shetty Mangalpady, Sheila I. Peña‐Corona, Fabiola V. Borbolla-Jiménez, et al.
Naunyn-Schmiedeberg s Archives of Pharmacology (2024) Vol. 397, Iss. 9, pp. 6317-6336
Closed Access | Times Cited: 1
New Methods for Predicting Drug Molecule Activity Using Deep Learning
Jessi J. White
Bioscience Methods (2024)
Open Access | Times Cited: 1
In silico drug discovery: a machine learning-driven systematic review
Sema Atasever
Medicinal Chemistry Research (2024)
Closed Access | Times Cited: 1
Prediction of Cytochrome P450 Substrates Using the Explainable Multitask Deep Learning Models
Jiaojiao Fang, Yan Tang, Changda Gong, et al.
Chemical Research in Toxicology (2024) Vol. 37, Iss. 9, pp. 1535-1548
Closed Access | Times Cited: 1
A comprehensive review of artificial intelligence for pharmacology research
Bing Li, Kan Tan, Angelyn R. Lao, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 1
Computational and artificial intelligence-based approaches for drug metabolism and transport prediction
Bálint Dudás, Maria A. Miteva
Trends in Pharmacological Sciences (2023) Vol. 45, Iss. 1, pp. 39-55
Closed Access | Times Cited: 4
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