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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” for Pharmacovigilance: Ready for Prime Time?
Robert Ball, Gerald J. Dal Pan
Drug Safety (2022) Vol. 45, Iss. 5, pp. 429-438
Open Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives
Sarfaraz K. Niazi
Drug Design Development and Therapy (2023) Vol. Volume 17, pp. 2691-2725
Open Access | Times Cited: 49
Conducting and interpreting disproportionality analyses derived from spontaneous reporting systems
Paola Maria Cutroneo, Daniele Sartori, Marco Tuccori, et al.
Frontiers in Drug Safety and Regulation (2024) Vol. 3
Open Access | Times Cited: 42
Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
Dolores R. Serrano, Francis C. Luciano, Brayan J. Anaya, et al.
Pharmaceutics (2024) Vol. 16, Iss. 10, pp. 1328-1328
Open Access | Times Cited: 42
Revolutionizing drug discovery: The impact of artificial intelligence on advancements in pharmacology and the pharmaceutical industry
Seema Yadav, Abhishek Singh, Rishika Singhal, et al.
Intelligent Pharmacy (2024) Vol. 2, Iss. 3, pp. 367-380
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: 35
International pharmacy students' perceptions towards artificial intelligence in medicine—A multinational, multicentre cross‐sectional study
Felix Busch, Lena Hoffmann, Daniel Truhn, et al.
British Journal of Clinical Pharmacology (2023) Vol. 90, Iss. 3, pp. 649-661
Open Access | Times Cited: 27
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: 13
Artificial intelligence in pharmacovigilance – Opportunities and challenges
Mira Kirankumar Desai
Perspectives in Clinical Research (2024) Vol. 15, Iss. 3, pp. 116-121
Open Access | Times Cited: 7
Artificial intelligence and pharmacovigilance: What is happening, what could happen and what should happen?
Andrew Bate, Jens‐Ulrich Stegmann
Health Policy and Technology (2023) Vol. 12, Iss. 2, pp. 100743-100743
Open Access | Times Cited: 15
Artificial intelligence integration in the drug lifecycle and in regulatory science: policy implications, challenges and opportunities
Wahiba Oualikene-Gonin, Marie‐Christine Jaulent, Jean-Pierre Thierry, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 5
Trust but Verify: Lessons Learned for the Application of AI to Case-Based Clinical Decision-Making From Postmarketing Drug Safety Assessment at the US Food and Drug Administration
Robert Ball, Andrew H. Talal, Oanh Dang, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e50274-e50274
Open Access | Times Cited: 4
Future pharmacy practitioners’ insights towards integration of artificial intelligence in healthcare education: Preliminary findings from Karachi, Pakistan
Tahmina Maqbool, Humera Ishaq, Sadia Shakeel, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0314045-e0314045
Open Access
The role of artificial intelligence in pharmacovigilance for rare diseases
Ashish S. Jain, Zahabia Adenwala
Expert Opinion on Drug Safety (2025)
Closed Access
The Beginning of a “Regulatory Renaissance”: Positioning Regulatory Coverage at the Interface of Human Expertise and Digital Support
James F. Jones, Robert M. Califf
Therapeutic Innovation & Regulatory Science (2025)
Closed Access
Artificial Intelligence: Applications in Pharmacovigilance Signal Management
Jeffrey Warner, Anaclara Prada Jardim, Carlo Albera
Pharmaceutical Medicine (2025)
Open Access
Artificial Intelligence Driven Applications in Analytical Chemistry, Drug Discovery, and Food Science: Advancements, Outlook, and Challenges
Madhumita Srivastava, Shiv Nandan, Aliza Zaidi, et al.
ChemistrySelect (2025) Vol. 10, Iss. 16
Closed Access
AI- Powered Pharmacovigilance: Revolutionizing Drug Safety for Tomorrow
Rashmi Rashmi, Virender Kaur, Arun K. Sharma, et al.
SSRN Electronic Journal (2025)
Closed Access
Implications of Artificial Intelligence for Arterial Drug Delivery and Beyond
Zhenrui Liao, Vidur Joshi, Shailendra Joshi
(2025), pp. 361-377
Closed Access
Application of Artificial Intelligence and Machine Learning in Drug Discovery and Development
Madhukiran Parvathaneni, Abduselam K. Awol, Monika Kumari, et al.
Journal of Drug Delivery and Therapeutics (2023) Vol. 13, Iss. 1, pp. 151-158
Open Access | Times Cited: 9
Improving drug safety with adverse event detection using natural language processing
Taxiarchis Botsis, Kory Kreimeyer
Expert Opinion on Drug Safety (2023) Vol. 22, Iss. 8, pp. 659-668
Closed Access | Times Cited: 8
Artificial Intelligence and Machine Learning for Safe Medicines
Andrew Bate, Yuan Luo
Drug Safety (2022) Vol. 45, Iss. 5, pp. 403-405
Open Access | Times Cited: 14
Just how transformative will AI/ML be for immuno-oncology?
Daniel Bottomly, Shannon K. McWeeney
Journal for ImmunoTherapy of Cancer (2024) Vol. 12, Iss. 3, pp. e007841-e007841
Open Access | Times Cited: 2
A Pilot, Predictive Surveillance Model in Pharmacovigilance Using Machine Learning Approaches
Rosa De Abreu Ferreira, Sheng Zhong, Charlotte Moureaud, et al.
Advances in Therapy (2024) Vol. 41, Iss. 6, pp. 2435-2445
Open Access | Times Cited: 2
A discovery and verification approach to pharmacovigilance using electronic healthcare data
Louis Dijkstra, Tania Schink, Roland Linder, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 2
The applications and advances of artificial intelligence in drug regulation: A global perspective
Fu Lixia, Guoshu Jia, Zhenming Liu, et al.
Acta Pharmaceutica Sinica B (2024) Vol. 15, Iss. 1, pp. 1-14
Open Access | Times Cited: 2
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