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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:

Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
Ri Han, Hongryul Yoon, Gahee Kim, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1259-1259
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 120
AI in analytical chemistry: Advancements, challenges, and future directions
Rafael Cardoso Rial
Talanta (2024) Vol. 274, pp. 125949-125949
Closed Access | Times Cited: 26
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 18
Holistic One Health Surveillance Framework: Synergizing Environmental, Animal, and Human Determinants for Enhanced Infectious Disease Management
Samradhi Singh, Poonam Sharma, Namrata Pal, et al.
ACS Infectious Diseases (2024) Vol. 10, Iss. 3, pp. 808-826
Closed Access | Times Cited: 16
The Impact of Artificial Intelligence on Healthcare: A Comprehensive Review of Advancements in Diagnostics, Treatment, and Operational Efficiency
Md. Faiyazuddin, Syed Jalal Q. Rahman, Gaurav Anand, et al.
Health Science Reports (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Conformationally adaptive therapeutic peptides for diseases caused by intrinsically disordered proteins (IDPs). New paradigm for drug discovery: Target the target, not the arrow
Jacques Fantini, Fodil Azzaz, Coralie Di Scala, et al.
Pharmacology & Therapeutics (2025), pp. 108797-108797
Open Access | Times Cited: 2
Artificial Intelligence in nanotechnology for treatment of diseases
Soroush Heydari, Niloofar Masoumi, Erfan Esmaeeli, et al.
Journal of drug targeting (2024) Vol. 32, Iss. 10, pp. 1247-1266
Closed Access | Times Cited: 14
A Review of Large Language Models and Autonomous Agents in Chemistry
Mayk Caldas Ramos, Christopher J. Collison, Andrew Dickson White
Chemical Science (2024)
Open Access | Times Cited: 12
Exploring innovative strategies for identifying anti-breast cancer compounds by integrating 2D/3D-QSAR, molecular docking analyses, ADMET predictions, molecular dynamics simulations, and MM-PBSA approaches
Said El Rhabori, Marwa Alaqarbeh, Yassine El Allouche, et al.
Journal of Molecular Structure (2024) Vol. 1320, pp. 139500-139500
Closed Access | Times Cited: 8
The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review
Phuvamin Suriyaamporn, Boonnada Pamornpathomkul, Prasopchai Patrojanasophon, et al.
AAPS PharmSciTech (2024) Vol. 25, Iss. 6
Closed Access | Times Cited: 8
Development and experimental validation of a machine learning model for the prediction of new antimalarials
Mukul Kore, Debiprasad Acharya, Lakshya Sharma, et al.
BMC Chemistry (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
Recent advances in bioaffinity strategies for preclinical and clinical drug discovery: Screening natural products, small molecules and antibodies
Haochun Jin, Dianxin Cui, Yu Fan, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 3, pp. 103885-103885
Closed Access | Times Cited: 7
The Evolving Landscape of Artificial Intelligence Applications in Animal Health
Pil-Kee Min, K. Mito, Tae Hoon Kim
Indian Journal of Animal Research (2024), Iss. Of
Open Access | Times Cited: 7
Two heads are better than one: Unravelling the potential Impact of Artificial Intelligence in nanotechnology
Gaurav Gopal Naik, Vijay A. Jagtap
Nano TransMed (2024) Vol. 3, pp. 100041-100041
Open Access | Times Cited: 7
The next revolution in computational simulations: Harnessing AI and quantum computing in molecular dynamics
Anna Lappala
Current Opinion in Structural Biology (2024) Vol. 89, pp. 102919-102919
Closed Access | Times Cited: 7
Enhancing Lipase Immobilization via Physical Adsorption: Advancements in Stability, Reusability, and Industrial Applications for Sustainable Biotechnological Processes
Cinthia Silva Almeida, Francisco Simão Neto, Patrick da Silva Sousa, et al.
ACS Omega (2024) Vol. 9, Iss. 47, pp. 46698-46732
Open Access | Times Cited: 7
Overcoming Challenges in Small-Molecule Drug Bioavailability: A Review of Key Factors and Approaches
Ke Wu, Soon Hwan Kwon, Xuhan Zhou, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 23, pp. 13121-13121
Open Access | Times Cited: 6
Evaluating the effect of artificial intelligence on pharmaceutical product and drug discovery in China
Agyemang Kwasi Sampene, Fatuma Nyirenda
Future Journal of Pharmaceutical Sciences (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5
Biosynthesis of biomolecules from saffron as an industrial crop and their regulation, with emphasis on the chemistry, extraction methods, identification techniques, and potential applications in human health and food: A critical comprehensive review
Vishal Gupta, Gayatri Jamwal, G. Rai, et al.
Biocatalysis and Agricultural Biotechnology (2024) Vol. 59, pp. 103260-103260
Closed Access | Times Cited: 5
A Review of Machine Learning and QSAR/QSPR Predictions for Complexes of Organic Molecules with Cyclodextrins
Dariusz Boczar, Katarzyna Michalska
Molecules (2024) Vol. 29, Iss. 13, pp. 3159-3159
Open Access | Times Cited: 5
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
Real-World Applications and Experiences of AI/ML Deployment for Drug Discovery
William R. Pitt, Jonathan Bentley, Christophe Boldron, et al.
Journal of Medicinal Chemistry (2025)
Closed Access
AI-driven antimicrobial peptides for drug development
Y. K. Arora, H. B. Lalwani, Ajay Kumar, et al.
Methods in microbiology (2025)
Closed Access
Artificial Intelligence in Healthcare: Current Trends and Future Directions
Shambo Samrat Samajdar, Rupak Chatterjee, Shatavisa Mukherjee, et al.
Current Medical Issues (2025) Vol. 23, Iss. 1, pp. 53-60
Open Access
Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis
Jong Ho Kim, Hyesook Kim, Jong‐Hee Sohn, et al.
Medicina (2025) Vol. 61, Iss. 2, pp. 188-188
Open Access
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