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 in rare disease diagnosis and treatment
Magda Wojtara, Emaan Rana, Taibia Rahman, et al.
Clinical and Translational Science (2023) Vol. 16, Iss. 11, pp. 2106-2111
Open Access | Times Cited: 66

Showing 1-25 of 66 citing articles:

Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 2

The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders
Shenouda Abdallah, Mouhammad Sharifa, Mohammed Khaleel I Kh Almadhoun, et al.
Cureus (2023)
Open Access | Times Cited: 31

Artificial intelligence in drug repurposing for rare diseases: a mini-review
Lucas Cortial, Vincent Montero, Sébastien Tourlet, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 6

Telemedicine for Personalized Nutritional Intervention of Rare Diseases: A Narrative Review on Approaches, Impact, and Future Perspectives
Francesca Eletti, Veronica Maria Tagi, I. Greco, et al.
Nutrients (2025) Vol. 17, Iss. 3, pp. 455-455
Open Access

Quantifying hope: an EU perspective of rare disease therapeutic space and market dynamics
Emmanuelle Cacoub, Nathalie Barreto Lefebvre, Dimitrije Milunov, et al.
Frontiers in Public Health (2025) Vol. 13
Open Access

Evaluation of the Performance of Three Large Language Models in Clinical Decision Support: A Comparative Study Based on Actual Cases
Xueqi Wang, Haiyan Ye, S. H. Zhang, et al.
Journal of Medical Systems (2025) Vol. 49, Iss. 1
Closed Access

A bibliometric study of rare diseases in English and Chinese databases from 1985 to 2024 based on CiteSpace
Maoyi Tian, Shuyi Wang, Z. X. Meng, et al.
Intractable & Rare Diseases Research (2025) Vol. 14, Iss. 1, pp. 14-28
Open Access

Artificial Intelligence: A New Frontier in Rare Disease Early Diagnosis
Syed Muhammad Hayyan Nishat, Ammar Shahid Tanweer, Bashayer Alshamsi, et al.
Cureus (2025)
Open Access

Nursing’s Role in Advancing Care for Rare Genetic Diseases
Andrew Dwyer, Suja Somanadhan
Nursing Clinics of North America (2025)
Closed Access

Opportunities and Challenges of Machine Learning in Anticaner Drug Therapies
M.I.A.O. Chunlei, H.U.A.N.G.F.U. rui, Chao Yuan, et al.
Intelligent Pharmacy (2025)
Open Access

The Application of Artificial Intelligence in the Research and Development of Traditional Chinese Medicine
Zhipeng Ke, Minxuan Liu, Jing Liu, et al.
International Journal of Drug Discovery and Pharmacology (2024), pp. 100001-100001
Open Access | Times Cited: 3

A review: artificial intelligence in image-guided spinal surgery
Jiahang Zeng, Qiang Fu
Expert Review of Medical Devices (2024) Vol. 21, Iss. 8, pp. 689-700
Closed Access | Times Cited: 3

Health Services Interventions to Improve the Quality of Care in Rare Disease: A Scoping Review
Cody Chou, Sydney O. Wiredu, Liesel Von Imhof, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2

Rare disease genomics and precision medicine
Juhyeon Hong, D. Lee, A. Hwang, et al.
Genomics & Informatics (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2

The use of artificial intelligence in the treatment of rare diseases: A scoping review
Da He, Ru Wang, Zhilin Xu, et al.
Intractable & Rare Diseases Research (2023) Vol. 13, Iss. 1, pp. 12-22
Open Access | Times Cited: 5

Artificial Intelligence in Point-of-care Ultrasound
Riley Wistrom, Luda Khait, Grant Nelson
Current Emergency and Hospital Medicine Reports (2024) Vol. 12, Iss. 3, pp. 89-94
Closed Access | Times Cited: 1

Charting a course for global progress in PIDs by 2030 — proceedings from the IPOPI global multi-stakeholders’ summit (September 2023)
Samya Van Coillie, J Prévot, Silvia Sánchez‐Ramón, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 1

Uncertainties of healthcare professionals and informal caregivers in rare diseases: a systematic review
David Zybarth, Laura Inhestern, Ramona Otto, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38677-e38677
Open Access | Times Cited: 1

Leveraging foundation and large language models in medical artificial intelligence
Io Nam Wong, Olivia Monteiro, Daniel T. Baptista‐Hon, et al.
Chinese Medical Journal (2024) Vol. 137, Iss. 21, pp. 2529-2539
Open Access | Times Cited: 1

An Efficient and Secure Framework for Smart Healthcare Using IoT and Machine Learning
Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, et al.
2022 International Conference on Decision Aid Sciences and Applications (DASA) (2024), pp. 1-5
Closed Access | Times Cited: 1

Advancements in Artificial Intelligence in Emergency Medicine in Taiwan: A Narrative Review.
Bing-Hung Shih, Chien-Chun Yeh
PubMed (2024) Vol. 14, Iss. 1, pp. 9-19
Closed Access | Times Cited: 1

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