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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:

Success stories of AI in drug discovery - where do things stand?
Kit‐Kay Mak, Madhu Katyayani Balijepalli, Mallikarjuna Rao Pichika
Expert Opinion on Drug Discovery (2021) Vol. 17, Iss. 1, pp. 79-92
Closed Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Artificial Intelligence for Drug Discovery: Are We There Yet?
Catrin Hasselgren, Tudor I. Oprea
The Annual Review of Pharmacology and Toxicology (2023) Vol. 64, Iss. 1, pp. 527-550
Open Access | Times Cited: 74
Tribulations and future opportunities for artificial intelligence in precision medicine
Claudio Carini, Attila A. Seyhan
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 28
Artificial intelligence in pharmacology research and practice
Maaike van der Lee, Jesse J. Swen
Clinical and Translational Science (2022) Vol. 16, Iss. 1, pp. 31-36
Open Access | Times Cited: 48
Machine learning for small molecule drug discovery in academia and industry
Andrea Volkamer, Sereina Riniker, Eva Nittinger, et al.
Artificial Intelligence in the Life Sciences (2023) Vol. 3, pp. 100056-100056
Open Access | Times Cited: 30
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 29
Explainability and white box in drug discovery
Kevser Kübra Kırboğa, Sumra Wajid Abbasi, Ecir Uğur Küçüksille
Chemical Biology & Drug Design (2023) Vol. 102, Iss. 1, pp. 217-233
Closed Access | Times Cited: 26
From understanding diseases to drug design: can artificial intelligence bridge the gap?
Anju Choorakottayil Pushkaran, Alya A. Arabi
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 13
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2024), pp. 1461-1498
Closed Access | Times Cited: 8
Artificial intelligence in small molecule drug discovery from 2018 to 2023: Does it really work?
Qi Lv, Feilong Zhou, Xinhua Liu, et al.
Bioorganic Chemistry (2023) Vol. 141, pp. 106894-106894
Closed Access | Times Cited: 21
De novo drug design through artificial intelligence: an introduction
Davide Crucitti, Carlos Pérez Míguez, José Ángel Díaz Arias, et al.
Frontiers in Hematology (2024) Vol. 3
Open Access | Times Cited: 7
Recent Advances of Artificial Intelligence Applications in Interstitial Lung Diseases
Konstantinos Exarchos, Georgia Gkrepi, Κonstantinos Κostikas, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2303-2303
Open Access | Times Cited: 15
Harnessing the Power of AI in Pharmacokinetics and Pharmacodynamics: A Comprehensive Review
Vijaykumar Pawar, Abhinandan Patil, Firoj A. Tamboli, et al.
International Journal of Pharmaceutical Quality Assurance (2023) Vol. 14, Iss. 02, pp. 426-439
Open Access | Times Cited: 14
An in-depth review of AI-powered advancements in cancer drug discovery
Le Huu Nhat Minh, Phat Ky Nguyen, Nguyen Thi Trang, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2025), pp. 167680-167680
Closed Access
Integrating AI into Cancer Immunotherapy—A Narrative Review of Current Applications and Future Directions
David B. Olawade, Aanuoluwapo Clement David-Olawade, Temitope Adereni, et al.
Diseases (2025) Vol. 13, Iss. 1, pp. 24-24
Open Access
Ai-enabled language models (LMs) to large language models (LLMs) and multimodal large language models (MLLMs) in drug discovery and development
Chiranjib Chakraborty, Manojit Bhattacharya, Soumen Pal, et al.
Journal of Advanced Research (2025)
Open Access
Emerging horizons of AI in pharmaceutical research
Sourav Bachhar, S. P. Jeevan Kumar, Bornali Dutta, et al.
Advances in pharmacology (2025)
Closed Access
Psychedelic Drugs in Mental Disorders: Current Clinical Scope and Deep Learning‐Based Advanced Perspectives
Sung‐Hyun Kim, Sumin Yang, Jeehye Jung, et al.
Advanced Science (2025)
Open Access
Can We Quickly Learn to “Translate” Bioactive Molecules with Transformer Models?
Emma Tysinger, K. Brajesh, Anton V. Sinitskiy
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 6, pp. 1734-1744
Closed Access | Times Cited: 11
Artificial Intelligence in the Pharmaceutical Sector of India: Future Prospects and Challenges
Aprajita Kimta, Reena Dogra
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Computational model for drug research
Xing Chen, Huang Li
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
Applying Ethics in the Handling of Dual Use Research: The Case of Germany
Una Jakob, Felicitas Kraemer, Florian Kraus, et al.
Research Ethics (2024)
Open Access | Times Cited: 2
Research evolution of metal organic frameworks: A scientometric approach with human-in-the-loop
Xintong Zhao, Kyle Langlois, Jacob Furst, et al.
Journal of Data and Information Science (2024) Vol. 9, Iss. 3, pp. 44-64
Open Access | Times Cited: 2
Machine learning to design antimicrobial combination therapies: Promises and pitfalls
Jennifer M. Cantrell, Carolina H. Chung, Sriram Chandrasekaran
Drug Discovery Today (2022) Vol. 27, Iss. 6, pp. 1639-1651
Open Access | Times Cited: 12
Artificial Intelligence (AI)-Based Solution to Malaria Fatalities In Africa: An Exploratory Review
Ignatius Ogbaga
(2023)
Open Access | Times Cited: 6
The role of DMPK science in improving pharmaceutical research and development efficiency
Kit‐Kay Mak, Ola Epemolu, Mallikarjuna Rao Pichika
Drug Discovery Today (2021) Vol. 27, Iss. 3, pp. 705-729
Closed Access | Times Cited: 14
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