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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:

Foundation models for generalist medical artificial intelligence
Michael Moor, Oishi Banerjee, Zahra Shakeri Hossein Abad, et al.
Nature (2023) Vol. 616, Iss. 7956, pp. 259-265
Open Access | Times Cited: 739

Showing 26-50 of 739 citing articles:

Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 48
Deep semi-supervised learning for medical image segmentation: A review
Kai Han, Victor S. Sheng, Yuqing Song, et al.
Expert Systems with Applications (2024) Vol. 245, pp. 123052-123052
Closed Access | Times Cited: 48
Artificial intelligence in surgery
Chris Varghese, Ewen M. Harrison, Greg O’Grady, et al.
Nature Medicine (2024) Vol. 30, Iss. 5, pp. 1257-1268
Open Access | Times Cited: 48
Retrieve, Summarize, and Verify: How Will ChatGPT Affect Information Seeking from the Medical Literature?
Qiao Jin, Robert Leaman, Zhiyong Lu
Journal of the American Society of Nephrology (2023) Vol. 34, Iss. 8, pp. 1302-1304
Open Access | Times Cited: 45
Transforming Cardiovascular Care With Artificial Intelligence: From Discovery to Practice
Rohan Khera, Evangelos K. Oikonomou, Girish N. Nadkarni, et al.
Journal of the American College of Cardiology (2024) Vol. 84, Iss. 1, pp. 97-114
Closed Access | Times Cited: 44
CancerGPT for few shot drug pair synergy prediction using large pretrained language models
Tianhao Li, Sandesh Shetty, Advaith Kamath, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 42
A Survey of Large Language Models for Healthcare: From Data, Technology, and Applications to Accountability and Ethics
Kai He, Rui Mao, Qika Lin, et al.
(2024)
Open Access | Times Cited: 40
Harnessing the potential of large language models in medical education: promise and pitfalls
Trista M. Benítez, Yueyuan Xu, J. Donald Boudreau, et al.
Journal of the American Medical Informatics Association (2024) Vol. 31, Iss. 3, pp. 776-783
Closed Access | Times Cited: 36
Large language models streamline automated machine learning for clinical studies
Soroosh Tayebi Arasteh, Tianyu Han, Mahshad Lotfinia, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 35
Foundation model for cancer imaging biomarkers
Suraj Pai, Dennis Bontempi, Ibrahim Hadžić, et al.
Nature Machine Intelligence (2024) Vol. 6, Iss. 3, pp. 354-367
Open Access | Times Cited: 33
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
William Lotter, Michael J. Hassett, Nikolaus Schultz, et al.
Cancer Discovery (2024) Vol. 14, Iss. 5, pp. 711-726
Open Access | Times Cited: 33
Peer review of GPT-4 technical report and systems card
Jack Gallifant, Amelia Fiske, Yulia A. Strekalova, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 1, pp. e0000417-e0000417
Open Access | Times Cited: 32
Utility of artificial intelligence‐based large language models in ophthalmic care
Sayantan Biswas, Leon N. Davies, Amy L. Sheppard, et al.
Ophthalmic and Physiological Optics (2024) Vol. 44, Iss. 3, pp. 641-671
Open Access | Times Cited: 30
Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions
Tianyu Han, Lisa C. Adams, Keno K. Bressem, et al.
JAMA (2024) Vol. 331, Iss. 15, pp. 1320-1320
Open Access | Times Cited: 30
Artificial intelligence for diabetes care: current and future prospects
Bin Sheng, Krithi Pushpanathan, Zhouyu Guan, et al.
The Lancet Diabetes & Endocrinology (2024) Vol. 12, Iss. 8, pp. 569-595
Closed Access | Times Cited: 29
Performance of Generative Pretrained Transformer on the National Medical Licensing Examination in Japan
Yudai Tanaka, Takuto Nakata, Ko Aiga, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 1, pp. e0000433-e0000433
Open Access | Times Cited: 28
Artificial intelligence in neurology: opportunities, challenges, and policy implications
Sebastian Voigtlaender, Johannes Pawelczyk, Mario Geiger, et al.
Journal of Neurology (2024) Vol. 271, Iss. 5, pp. 2258-2273
Closed Access | Times Cited: 28
A generalist vision–language foundation model for diverse biomedical tasks
Kai Zhang, Rong Zhou, Eashan Adhikarla, et al.
Nature Medicine (2024) Vol. 30, Iss. 11, pp. 3129-3141
Closed Access | Times Cited: 28
Transformers in single-cell omics: a review and new perspectives
Artur Szałata, Karin Hrovatin, Sören Becker, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1430-1443
Closed Access | Times Cited: 27
The hospital at home in the USA: current status and future prospects
Jay Pandit, Jeff Pawelek, Bruce Leff, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 24
Deep learning in cancer genomics and histopathology
Michaela Unger, Jakob Nikolas Kather
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 24
New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology
Bouchra Derraz, Gabrièle Bréda, C. Kaempf, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 23
Recent Advances in Large Language Models for Healthcare
Khalid Nassiri, Moulay A. Akhloufi
BioMedInformatics (2024) Vol. 4, Iss. 2, pp. 1097-1143
Open Access | Times Cited: 23
Large language models and multimodal foundation models for precision oncology
Daniel Truhn, Jan‐Niklas Eckardt, Dyke Ferber, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 20
Research on Artificial-Intelligence-Assisted Medicine: A Survey on Medical Artificial Intelligence
Fangfang Gou, Jun Liu, Chunwen Xiao, et al.
Diagnostics (2024) Vol. 14, Iss. 14, pp. 1472-1472
Open Access | Times Cited: 19

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