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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:

Performance of Large Language Models on Medical Oncology Examination Questions
Jack B. Longwell, Ian Hirsch, Fernando Binder, et al.
JAMA Network Open (2024) Vol. 7, Iss. 6, pp. e2417641-e2417641
Open Access | Times Cited: 17

Showing 17 citing articles:

Can Large Language Models Aid Caregivers of Pediatric Cancer Patients in Information Seeking? A Cross‐Sectional Investigation
Emre Sezgın, D Jackson, A. Baki Kocaballı, et al.
Cancer Medicine (2025) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Natural Language Processing in medicine and ophthalmology: A review for the 21st-century clinician
William Rojas‐Carabali, Rajdeep Agrawal, Laura Gutiérrez-Sinisterra, et al.
Asia-Pacific Journal of Ophthalmology (2024) Vol. 13, Iss. 4, pp. 100084-100084
Open Access | Times Cited: 5
The Potential Impact of Large Language Models on Doctor–Patient Communication: A Case Study in Prostate Cancer
Marius Geantă, Daniel Bădescu, Narcis Chirca, et al.
Healthcare (2024) Vol. 12, Iss. 15, pp. 1548-1548
Open Access | Times Cited: 5
Large Language Model Prompting Techniques for Advancement in Clinical Medicine
Krish Shah, Andrew Xu, Yatharth Sharma, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 17, pp. 5101-5101
Open Access | Times Cited: 5
Explaining decisions without explainability? Artificial intelligence and medicolegal accountability
Melissa D. McCradden, Ian Stedman
Future Healthcare Journal (2024) Vol. 11, Iss. 3, pp. 100171-100171
Open Access | Times Cited: 5
Evaluating large language models as patient education tools for inflammatory bowel disease: A comparative study
Yan Zhang, Xiao-Han Wan, Qingzhou Kong, et al.
World Journal of Gastroenterology (2025) Vol. 31, Iss. 6
Closed Access
Evaluating the Performance of ChatGPT-4o Oncology Expert in Comparison to Standard Medical Oncology Knowledge: A Focus on Treatment-Related Clinical Questions
Oğuzcan Kınıkoğlu, Deniz Işık
Cureus (2025)
Open Access
Enhancing healthcare resource allocation through large language models
Fang Wan, Kezhi Wang, Tao Wang, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101859-101859
Closed Access
Comparative evaluation and performance of large language models on expert level critical care questions: a benchmark study
Jessica D. Workum, Bas W. S. Volkers, Davy van de Sande, et al.
Critical Care (2025) Vol. 29, Iss. 1
Open Access
Using mathematical modelling and AI to improve delivery and efficacy of therapies in cancer
Constantinos Harkos, Andreas G. Hadjigeorgiou, Chrysovalantis Voutouri, et al.
Nature reviews. Cancer (2025)
Closed Access
Artificial Intelligence in Relation to Accurate Information and Tasks in Gynecologic Oncology and Clinical Medicine—Dunning–Kruger Effects and Ultracrepidarianism
Edward J. Pavlik, Jason Woodward, Frank Lawton, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 735-735
Open Access
Comparative analysis of a standard (GPT-4o) and reasoning-enhanced (o1 pro) large language model on complex clinical questions from the Japanese orthopaedic board examination
Joe Hasei, Ryuichi Nakahara, Koichi Takeuchi, et al.
Journal of Orthopaedic Science (2025)
Closed Access
Accuracy, Consistency, and Contextual Understanding of Large Language Models in Restorative Dentistry and Endodontics
Claire Lafourcade, Olivia Kérourédan, Benoit Ballester, et al.
Journal of Dentistry (2025), pp. 105764-105764
Open Access
Evaluating Large Language Models in Cardiovascular Antithrombotic Care: Performance, Accuracy, and Implications for Clinical Practice
Pavel Antiperovitch, I. Liu, Ahmed T. Mokhtar, et al.
Canadian Journal of Cardiology (2025)
Closed Access
Enhancing Pulmonary Disease Prediction Using Large Language Models with Feature Summarization and Hybrid Retrieval-Augmented Generation: Multicenter Methodological Study based on Radiology Report (Preprint)
Ruiteng Li, Shuai Mao, Congmin Zhu, et al.
Journal of Medical Internet Research (2025)
Open Access
Medical accuracy of artificial intelligence chatbots in oncology: a scoping review
David Chen, Kate Elizabeth Avison, Saif Addeen Alnassar, et al.
The Oncologist (2025) Vol. 30, Iss. 4
Open Access
Advancements in large language model accuracy for answering physical medicine and rehabilitation board review questions
Jason Bitterman, Alexander S. D’Angelo, Alexandra Holachek, et al.
PM&R (2025)
Closed Access
Causality Extraction from Medical Text Using Large Language Models (LLMs)
Seethalakshmi Gopalakrishnan, Luciana Garbayo, Wlodek Zadrozny
Information (2024) Vol. 16, Iss. 1, pp. 13-13
Open Access | Times Cited: 1
The Most Disruptive Near-Term Use of AI in Cancer Care: Patient Empowerment Through Software Agents
Frank Austin Nothaft, Brad Power
AI in Precision Oncology (2024)
Closed Access
Large-Scale Deep Learning for Metastasis Detection in Pathology Reports
Patrycja Krawczuk, Zachary Fox, Valentina I. Petkov, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
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