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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:

GPT versus Resident Physicians — A Benchmark Based on Official Board Scores
Uriel Katz, Eran Cohen, Eliya Shachar, et al.
NEJM AI (2024) Vol. 1, Iss. 5
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Opportunities and risks of large language models in psychiatry
Nick Obradovich, Sahib S. Khalsa, Waqas Ullah Khan, et al.
NPP—Digital Psychiatry and Neuroscience (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 19
Large Language Models lack essential metacognition for reliable medical reasoning
Maxime Griot, Coralie Hemptinne, Jean Vanderdonckt, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access | Times Cited: 2
Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education
Huibo Yang, Mengxuan Hu, Amoreena Most, et al.
Frontiers in Artificial Intelligence (2025) Vol. 7
Open Access
Performance of ChatGPT-4o in the diagnostic workup of fever among returning travelers requiring hospitalization: a validation study
Dana Yelin, Neta Shirin, Ian A. Harris, et al.
Journal of Travel Medicine (2025)
Closed Access
Artificial Intelligence (AI) and emergency medicine: the race to the unknown (Preprint)
F. Amiot, Benoit Potier, Thibault Viard, et al.
(2025)
Closed Access
Innovations in Digital Health From a Global Perspective: Proceedings of PRC‐HI 2024
Xiaoru Feng, Yu Sun, You Wu, et al.
Health care science (2025)
Open Access
Bridging the gap: a practical step-by-step approach to warrant safe implementation of large language models in healthcare
Jessica D. Workum, Davy van de Sande, Diederik Gommers, et al.
Frontiers in Artificial Intelligence (2025) Vol. 8
Open Access
Large language models improve the identification of emergency department visits for symptomatic kidney stones
Cosmin A. Bejan, Amy E. McCart Reed, Matthew Mikula, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Reply: “Continuing the Chat: How Can we Improve the Performance of an Artificial Intelligence Chatbot in Answering Clinical Infectious Diseases Pharmacotherapy Questions?”
Wesley D. Kufel, Conan MacDougall, Elizabeth W. Covington, et al.
Open Forum Infectious Diseases (2025) Vol. 12, Iss. 2
Open Access
Benchmarking the diagnostic performance of open source LLMs in 1933 Eurorad case reports
Su Hwan Kim, Severin Schramm, Lisa C. Adams, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Evaluating Adherence to Canadian Radiology Guidelines for Incidental Hepatobiliary Findings Using RAG-Enabled LLMs
Nicholas Dietrich, Brett Stubbert
Canadian Association of Radiologists Journal (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
Artificial Intelligence (AI) and emergency medicine: balancing opportunities and challenges (Preprint)
F. Amiot, Benoit Potier
JMIR Medical Informatics (2025)
Open Access
From GPT-3.5 to GPT-4.o: A Leap in AI’s Medical Exam Performance
Markus Kipp
Information (2024) Vol. 15, Iss. 9, pp. 543-543
Open Access | Times Cited: 4
The Emerging Role of Large Language Models in Improving Prostate Cancer Literacy
Marius Geantă, Daniel Bădescu, Narcis Chirca, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 654-654
Open Access | Times Cited: 3
Large Language Models in Pathology: A Comparative Study on Multiple Choice Question Performance with Pathology Trainees
Wei Du, Xueting Jin, Jaryse Carol Harris, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Evaluating performance of ChatGPT on MKSAP cardiology board review questions
Stefan Milutinovic, Marija Petrović, Dustin Begosh-Mayne, et al.
International Journal of Cardiology (2024), pp. 132576-132576
Closed Access | Times Cited: 2
Let’s Have a Chat: How Well Does an Artificial Intelligence Chatbot Answer Clinical Infectious Diseases Pharmacotherapy Questions?
Wesley D. Kufel, Kathleen D Hanrahan, Robert W. Seabury, et al.
Open Forum Infectious Diseases (2024) Vol. 11, Iss. 11
Open Access | Times Cited: 2
Age against the machine—susceptibility of large language models to cognitive impairment: cross sectional analysis
Roy Dayan, Benjamin Uliel, Gal Koplewitz
BMJ (2024), pp. e081948-e081948
Closed Access | Times Cited: 2
Large language models to help appeal denied radiotherapy services
Kendall Kiser, Michael R. Waters, Jocelyn Reckford, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
ChatGPT's Performance in Supporting Physician Decision-Making in Nephrology Multiple-Choice Questions
Ryunosuke Noda, Kenichiro Tanabe, Daisuke Ichikawa, et al.
Research Square (Research Square) (2024)
Closed Access | Times Cited: 1
Large language models in medicine: A review of current clinical trials across healthcare applications
Mahmud Omar, Girish N. Nadkarni, Eyal Klang, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 11, pp. e0000662-e0000662
Open Access | Times Cited: 1
Evaluating AI Proficiency in Nuclear Cardiology: Large Language Models take on the Board Preparation Exam
Valerie Builoff, Aakash Shanbhag, Robert J.H. Miller, et al.
Journal of Nuclear Cardiology (2024), pp. 102089-102089
Closed Access | Times Cited: 1
Establishing best practices in large language model research: an application to repeat prompting
Robert J. Gallo, Michael Baiocchi, Thomas Savage, et al.
Journal of the American Medical Informatics Association (2024)
Open Access | Times Cited: 1
Comparing Large Language Model and Human Reader Accuracy with New England Journal of Medicine Image Challenge Case Image Inputs
Pae Sun Suh, Woo Hyun Shim, Chong Hyun Suh, et al.
Radiology (2024) Vol. 313, Iss. 3
Closed Access | Times Cited: 1
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