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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:

Rethinking Drug Repositioning and Development with Artificial Intelligence, Machine Learning, and Omics
Maria Koromina, Maria‐Theodora Pandi, George P. Patrinos
OMICS A Journal of Integrative Biology (2019) Vol. 23, Iss. 11, pp. 539-548
Open Access | Times Cited: 106

Showing 1-25 of 106 citing articles:

Artificial intelligence in drug discovery and development
Debleena Paul, Gaurav Sanap, Snehal Shenoy, et al.
Drug Discovery Today (2020) Vol. 26, Iss. 1, pp. 80-93
Open Access | Times Cited: 1023
The Role of AI in Drug Discovery: Challenges, Opportunities, and Strategies
Alexandre Blanco-González, Alfonso Cabezón, Alejandro Seco-González, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 6, pp. 891-891
Open Access | Times Cited: 302
Artificial Intelligence and Machine Learning Technology Driven Modern Drug Discovery and Development
Chayna Sarkar, Biswadeep Das, Vikram Singh Rawat, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2026-2026
Open Access | Times Cited: 147
Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries
Chandrabose Selvaraj, Ishwar Chandra, Sanjeev Kumar Singh
Molecular Diversity (2021) Vol. 26, Iss. 3, pp. 1893-1913
Open Access | Times Cited: 125
Artificial intelligence, machine learning, and drug repurposing in cancer
Ziaurrehman Tanoli, Markus Vähä‐Koskela, Tero Aittokallio
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 977-989
Open Access | Times Cited: 122
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: 30
The emerging roles of artificial intelligence in cancer drug development and precision therapy
Guosheng Liang, Wenguo Fan, Hui Luo, et al.
Biomedicine & Pharmacotherapy (2020) Vol. 128, pp. 110255-110255
Open Access | Times Cited: 115
Virtual screening web servers: designing chemical probes and drug candidates in the cyberspace
Natesh Singh, Ludovic Chaput, Bruno O. Villoutreix
Briefings in Bioinformatics (2020) Vol. 22, Iss. 2, pp. 1790-1818
Open Access | Times Cited: 107
Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases
Sheng He, Leon G. Leanse, Yanfang Feng
Advanced Drug Delivery Reviews (2021) Vol. 178, pp. 113922-113922
Closed Access | Times Cited: 80
Digital Health in Physicians' and Pharmacists' Office: A Comparative Study of e-Prescription Systems' Architecture and Digital Security in Eight Countries
Bader Aldughayfiq, Srinivas Sampalli
OMICS A Journal of Integrative Biology (2020) Vol. 25, Iss. 2, pp. 102-122
Open Access | Times Cited: 70
Artificial Intelligence, Big Data and Machine Learning Approaches in Precision Medicine & Drug Discovery
Anuraj Nayarisseri, Ravina Khandelwal, Poonam Tanwar, et al.
Current Drug Targets (2021) Vol. 22, Iss. 6, pp. 631-655
Closed Access | Times Cited: 68
Application of Artificial Intelligence in Pathology: Trends and Challenges
Inho Kim, Kyungmin Kang, Youngjae Song, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2794-2794
Open Access | Times Cited: 66
Artificial intelligence and pathology: From principles to practice and future applications in histomorphology and molecular profiling
Albrecht Stenzinger, Maximilian Alber, Michael Allgäuer, et al.
Seminars in Cancer Biology (2021) Vol. 84, pp. 129-143
Open Access | Times Cited: 61
Machine Learning and Pharmacometrics for Prediction of Pharmacokinetic Data: Differences, Similarities and Challenges Illustrated with Rifampicin
Lina Keutzer, huifang you, Ali Farnoud, et al.
Pharmaceutics (2022) Vol. 14, Iss. 8, pp. 1530-1530
Open Access | Times Cited: 52
Emerging applications of machine learning in genomic medicine and healthcare
Narjice Chafai, L. Bonizzi, Sara Botti, et al.
Critical Reviews in Clinical Laboratory Sciences (2023) Vol. 61, Iss. 2, pp. 140-163
Closed Access | Times Cited: 33
Strategies of Artificial intelligence tools in the domain of nanomedicine
Mohammad Habeeb, Huay Woon You, Mutheeswaran Umapathi, et al.
Journal of Drug Delivery Science and Technology (2023) Vol. 91, pp. 105157-105157
Closed Access | Times Cited: 26
Revolutionizing Pharmaceutical Research: Harnessing Machine Learning for a Paradigm Shift in Drug Discovery
Ali Husnain, Saad Rasool, Ayesha Saeed, et al.
International Journal of Multidisciplinary Sciences and Arts (2023) Vol. 2, Iss. 2, pp. 149-157
Open Access | Times Cited: 22
The Artificial Intelligence-Driven Pharmaceutical Industry: A Paradigm Shift in Drug Discovery, Formulation Development, Manufacturing, Quality Control, and Post-Market Surveillance
Kampanart Huanbutta, Kanokporn Burapapadh, Pakorn Kraisit, et al.
European Journal of Pharmaceutical Sciences (2024) Vol. 203, pp. 106938-106938
Open Access | Times Cited: 11
Targeting the STAT3 oncogenic pathway: Cancer immunotherapy and drug repurposing
Yushan Dong, Jingyu Chen, Yuhan Chen, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 167, pp. 115513-115513
Open Access | Times Cited: 21
In silico Potential of Approved Antimalarial Drugs for Repurposing Against COVID-19
Cheryl Sachdeva, Anju Wadhwa, Anita Kumari, et al.
OMICS A Journal of Integrative Biology (2020) Vol. 24, Iss. 10, pp. 568-580
Closed Access | Times Cited: 44
Antimicrobial Properties of Antidepressants and Antipsychotics—Possibilities and Implications
Marina Caldara, Nelson Marmiroli
Pharmaceuticals (2021) Vol. 14, Iss. 9, pp. 915-915
Open Access | Times Cited: 33
Drug repurposing—an emerging strategy in cancer therapeutics
Khadija Shahab Turabi, Ankita Jaywant Deshmukh, Sayan Paul, et al.
Naunyn-Schmiedeberg s Archives of Pharmacology (2022) Vol. 395, Iss. 10, pp. 1139-1158
Closed Access | Times Cited: 26
Advancing health care via artificial intelligence: From concept to clinic
Grandhi Sandeep Ganesh, Aravinda Sai Kolusu, Prasad Konduri, et al.
European Journal of Pharmacology (2022) Vol. 934, pp. 175320-175320
Closed Access | Times Cited: 24
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
The Biomedical Applications of Artificial Intelligence: An Overview of Decades of Research
Sweet Naskar, Suraj Sharma, Ketousetuo Kuotsu, et al.
Journal of drug targeting (2025), pp. 1-85
Closed Access
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