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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 1-25 of 739 citing articles:

Large language models in medicine
Arun James Thirunavukarasu, Darren Shu Jeng Ting, Kabilan Elangovan, et al.
Nature Medicine (2023) Vol. 29, Iss. 8, pp. 1930-1940
Closed Access | Times Cited: 1415
MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation
Zhiqiang Pang, Yao Lü, Guangyan Zhou, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W398-W406
Open Access | Times Cited: 399
A foundation model for generalizable disease detection from retinal images
Yukun Zhou, Mark A. Chia, Siegfried Wagner, et al.
Nature (2023) Vol. 622, Iss. 7981, pp. 156-163
Open Access | Times Cited: 293
scGPT: toward building a foundation model for single-cell multi-omics using generative AI
Haotian Cui, Xiaoming Wang, Hassaan Maan, et al.
Nature Methods (2024) Vol. 21, Iss. 8, pp. 1470-1480
Open Access | Times Cited: 262
The Current and Future State of AI Interpretation of Medical Images
Pranav Rajpurkar, Matthew P. Lungren
New England Journal of Medicine (2023) Vol. 388, Iss. 21, pp. 1981-1990
Closed Access | Times Cited: 216
Towards a general-purpose foundation model for computational pathology
Richard J. Chen, Tong Ding, Ming Y. Lu, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 850-862
Open Access | Times Cited: 199
Benchmarking large language models’ performances for myopia care: a comparative analysis of ChatGPT-3.5, ChatGPT-4.0, and Google Bard
Zhi Wei Lim, Krithi Pushpanathan, Samantha Min Er Yew, et al.
EBioMedicine (2023) Vol. 95, pp. 104770-104770
Open Access | Times Cited: 189
Towards Generalist Biomedical AI
Tao Tu, Shekoofeh Azizi, Danny Driess, et al.
NEJM AI (2024) Vol. 1, Iss. 3
Open Access | Times Cited: 144
Potential of ChatGPT and GPT-4 for Data Mining of Free-Text CT Reports on Lung Cancer
Matthias A. Fink, Arved Bischoff, Christoph A. Fink, et al.
Radiology (2023) Vol. 308, Iss. 3
Closed Access | Times Cited: 142
A transformer-based representation-learning model with unified processing of multimodal input for clinical diagnostics
Hong-Yu Zhou, Yizhou Yu, Chengdi Wang, et al.
Nature Biomedical Engineering (2023) Vol. 7, Iss. 6, pp. 743-755
Open Access | Times Cited: 125
The Challenges for Regulating Medical Use of ChatGPT and Other Large Language Models
Timo Minssen, Effy Vayena, I. Glenn Cohen
JAMA (2023) Vol. 330, Iss. 4, pp. 315-315
Open Access | Times Cited: 114
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection
Jie Liu, Yixiao Zhang, Jie-Neng Chen, et al.
2021 IEEE/CVF International Conference on Computer Vision (ICCV) (2023), pp. 21095-21107
Closed Access | Times Cited: 113
Large Language Models in Medicine: The Potentials and Pitfalls
Jesutofunmi A. Omiye, Haiwen Gui, Shawheen J. Rezaei, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 2, pp. 210-220
Open Access | Times Cited: 99
A comparison review of transfer learning and self-supervised learning: Definitions, applications, advantages and limitations
Zehui Zhao, Laith Alzubaidi, Jinglan Zhang, et al.
Expert Systems with Applications (2023) Vol. 242, pp. 122807-122807
Open Access | Times Cited: 97
The Impact of Multimodal Large Language Models on Health Care’s Future
Bertalan Meskó
Journal of Medical Internet Research (2023) Vol. 25, pp. e52865-e52865
Open Access | Times Cited: 91
Evaluation and mitigation of the limitations of large language models in clinical decision-making
Paul Hager, Friederike Jungmann, Robbie Holland, et al.
Nature Medicine (2024) Vol. 30, Iss. 9, pp. 2613-2622
Open Access | Times Cited: 75
A Multimodal Generative AI Copilot for Human Pathology
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature (2024)
Open Access | Times Cited: 72
On the challenges and perspectives of foundation models for medical image analysis
Shaoting Zhang, Dimitris Metaxas
Medical Image Analysis (2023) Vol. 91, pp. 102996-102996
Open Access | Times Cited: 70
Artificial Intelligence in Medical Education: Comparative Analysis of ChatGPT, Bing, and Medical Students in Germany
Jonas Roos, Adnan Kasapovic, Tom Jansen, et al.
JMIR Medical Education (2023) Vol. 9, pp. e46482-e46482
Open Access | Times Cited: 64
Ethical and regulatory challenges of large language models in medicine
Jasmine Chiat Ling Ong, Yin‐Hsi Chang, William Wasswa, et al.
The Lancet Digital Health (2024) Vol. 6, Iss. 6, pp. e428-e432
Open Access | Times Cited: 64
A guide to artificial intelligence for cancer researchers
Raquel Pérez-López, Narmin Ghaffari Laleh, Faisal Mahmood, et al.
Nature reviews. Cancer (2024) Vol. 24, Iss. 6, pp. 427-441
Closed Access | Times Cited: 64
Comparative analysis of large language models in the Royal College of Ophthalmologists fellowship exams
Raffaele Raimondi, Nikolaos Tzoumas, Thomas Salisbury, et al.
Eye (2023) Vol. 37, Iss. 17, pp. 3530-3533
Open Access | Times Cited: 61
Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects
Muhammad Usman Hadi, qasem al tashi, Rizwan Qureshi, et al.
(2023)
Open Access | Times Cited: 61
Segment anything model for medical image segmentation: Current applications and future directions
Yichi Zhang, Zhenrong Shen, Rushi Jiao
Computers in Biology and Medicine (2024) Vol. 171, pp. 108238-108238
Open Access | Times Cited: 58
Performance of ChatGPT on Chinese national medical licensing examinations: a five-year examination evaluation study for physicians, pharmacists and nurses
Hui Zong, Jiakun Li, Erman Wu, et al.
BMC Medical Education (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 51
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