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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:

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

Showing 1-25 of 64 citing articles:

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
A platform for the biomedical application of large language models
Sebastian Lobentanzer, Shaohong Feng, Noah Bruderer, et al.
Nature Biotechnology (2025)
Open Access | Times Cited: 5
Role of the Extracellular Matrix in Cancer: Insights into Tumor Progression and Therapy
Nimeet Desai, Deepak Kumar Sahel, Bhakti Kubal, et al.
Advanced Therapeutics (2025)
Open Access | Times Cited: 2
Artificial Intelligence And Cancer Care in Africa
Adewunmi Akingbola, Abiodun Adegbesan, Olajide Ojo, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100132-100132
Open Access | Times Cited: 13
Applications of Artificial Intelligence in Drug Repurposing
Zhaoman Wan, Xinran Sun, Yi Li, et al.
Advanced Science (2025)
Open Access | Times Cited: 1
Superhuman performance on urology board questions using an explainable language model enhanced with European Association of Urology guidelines
Martin J. Hetz, Nicolas Carl, Sarah Haggenmüller, et al.
ESMO Real World Data and Digital Oncology (2024) Vol. 6, pp. 100078-100078
Open Access | Times Cited: 7
Anonymizing medical documents with local, privacy preserving large language models: The LLM-Anonymizer
Isabella C. Wiest, Marie-Elisabeth Leßmann, F M Wolf, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 6
Large language model use in clinical oncology
Nicolas Carl, Franziska Schramm, Sarah Haggenmüller, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 6
Advancements in triple-negative breast cancer sub-typing, diagnosis and treatment with assistance of artificial intelligence : a focused review
Zahra Batool, Mohammad Amjad Kamal, Bairong Shen
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 8
Open Access | Times Cited: 4
Use of Artificial Intelligence for Liver Diseases: A Survey from the EASL Congress 2024
Laura Žigutytė, Thomas Sorz, Jan Clusmann, et al.
JHEP Reports (2024) Vol. 6, Iss. 12, pp. 101209-101209
Open Access | Times Cited: 4
The tumour histopathology “glossary” for AI developers
S. Mandal, Ann‐Marie Baker, Trevor A. Graham, et al.
PLoS Computational Biology (2025) Vol. 21, Iss. 1, pp. e1012708-e1012708
Open Access
Artificial intelligence for diagnosis and predictive biomarkers in Non-Small cell lung cancer Patients: New promises but also new hurdles for the pathologist
Paul Hofman, Iordanis Ourailidis, Eva Romanovsky, et al.
Lung Cancer (2025) Vol. 200, pp. 108110-108110
Closed Access
The foundational capabilities of large language models in predicting postoperative risks using clinical notes
Charles Alba, Bing Xue, Joanna Abraham, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Artificial intelligence-assisted wearable electronics for human-machine interfaces
Lingji Kong, Juhuang Song, Zheng Fang, et al.
Device (2025), pp. 100707-100707
Closed Access
Artificial Intelligence-Based Algorithm for Pathological Response Assessment to Neoadjuvant Chemoradiotherapy in Locally Advanced Rectal Cancer: A Multi-Center Derived Platform Can Shrink a Mountainous Task into a Molehill
Fujin Ye, Mian Chen, Chao Wang, et al.
(2025)
Closed Access
Evaluating interactions of patients with large language models for medical information
Nicolas Carl, Sarah Haggenmüller, Christoph Wies, et al.
BJU International (2025)
Open Access
Role of circular RNAs in cancer therapy resistance
Wenjuan Liu, Jiling Niu, Yanfei Huo, et al.
Molecular Cancer (2025) Vol. 24, Iss. 1
Open Access
Tumor-Agnostic Therapies in Practice: Challenges, Innovations, and Future Perspectives
Sulin Wu, Rajat Thawani
Cancers (2025) Vol. 17, Iss. 5, pp. 801-801
Open Access
Practical Applications of Artificial Intelligence Diagnostic Systems in Fundus Retinal Disease Screening
Qingquan Wei, Lifang Chi, Meiling Li, et al.
International Journal of General Medicine (2025) Vol. Volume 18, pp. 1173-1180
Open Access
Knowledge-guided diffusion model for 3D ligand-pharmacophore mapping
Junlin Yu, Zhou Cong, Xiang-Li Ning, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
The PERFORM Study: AI Versus Human Residents in Cross-Sectional Obstetrics-Gynecology Scenarios Across Languages and Time Constraints
Canio Martinelli, Antonio Giordano, Vincenzo Carnevale, et al.
Mayo Clinic Proceedings Digital Health (2025), pp. 100206-100206
Open Access
Artificial intelligence and the diagnosis of oral cavity cancer and oral potentially malignant disorders from clinical photographs: a narrative review
Payam Mirfendereski, Grace Y. Li, Alexander T. Pearson, et al.
Frontiers in Oral Health (2025) Vol. 6
Open Access
Real-world radiology data for artificial intelligence-driven cancer support systems and biomarker development
Daniel Navarro-Garcia, Alberto Villanueva Marcos, Regina G. H. Beets‐Tan, et al.
ESMO Real World Data and Digital Oncology (2025) Vol. 8, pp. 100120-100120
Closed Access
Deidentifying Medical Documents with Local, Privacy-Preserving Large Language Models: The LLM-Anonymizer
Isabella C. Wiest, Marie-Elisabeth Leßmann, F M Wolf, et al.
NEJM AI (2025) Vol. 2, Iss. 4
Closed Access
A Comprehensive AI-Based Approach in Classifying Breast Lesions: Focusing on Improving Pathologists’ Accuracy and Efficiency
Maryam Tahir, Yan Hu, H.V. Hema Kumar, et al.
Clinical Breast Cancer (2025)
Closed Access
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