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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:

Accuracy, readability, and understandability of large language models for prostate cancer information to the public
Jacob S Hershenhouse, Daniel Mokhtar, Michael Eppler, et al.
Prostate Cancer and Prostatic Diseases (2024)
Open Access | Times Cited: 18

Showing 18 citing articles:

Large language models in patient education: a scoping review of applications in medicine
Serhat Aydın, Mert Karabacak, Victoria Vlachos, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 6
Improving Patient Understanding of Glomerular Disease Terms With ChatGPT
Yasir Abdelgadir, Charat Thongprayoon, Iasmina Craici, et al.
International Journal of Clinical Practice (2025) Vol. 2025, Iss. 1
Open Access
Patient- and clinician-based evaluation of large language models for patient education in prostate cancer radiotherapy
Christian Trapp, Nina Schmidt-Hegemann, Michael Keilholz, et al.
Strahlentherapie und Onkologie (2025)
Open Access
Best of 2024 in Prostate Cancer and Prostatic diseases
Cosimo De Nunzio
Prostate Cancer and Prostatic Diseases (2025)
Closed Access
Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain
Erkan Özduran, Volkan Hancı, Yüksel Erkin, et al.
PeerJ (2025) Vol. 13, pp. e18847-e18847
Open Access
Artificial intelligence and patient education
Olivia Paluszek, Stacy Loeb
Current Opinion in Urology (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
Generative artificial intelligence in oncology
Conner Ganjavi, Sam Melamed, Brett Biedermann, et al.
Current Opinion in Urology (2025)
Closed Access
Readability, reliability and quality of responses generated by ChatGPT, gemini, and perplexity for the most frequently asked questions about pain
Erkan Özduran, İbrahim Akkoç, Sibel Büyükçoban, et al.
Medicine (2025) Vol. 104, Iss. 11, pp. e41780-e41780
Open Access
The Potential Impact of Large Language Models on Doctor–Patient Communication: A Case Study in Prostate Cancer
Marius Geantă, Daniel Bădescu, Narcis Chirca, et al.
Healthcare (2024) Vol. 12, Iss. 15, pp. 1548-1548
Open Access | Times Cited: 3
Large language models in science
Karl‐Friedrich Kowalewski, Severin Rodler
Deleted Journal (2024) Vol. 63, Iss. 9, pp. 860-866
Closed Access | Times Cited: 2
Effectiveness of the Medical Chatbot PROSCA to Inform Patients About Prostate Cancer: Results of a Randomized Controlled Trial
Kilian Baumgärtner, Michael Byczkowski, T Schmid, et al.
European Urology Open Science (2024) Vol. 69, pp. 80-88
Closed Access | Times Cited: 2
Empowering patients: how accurate and readable are large language models in renal cancer education
Abdulghafour Halawani, Sultan G. Almehmadi, Bandar Alhubaishy, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Comparing Patient’s Confidence in Clinical Capabilities in Urology: Large Language Models Versus Urologists
Nicolas Carl, Lisa Nguyen, Sarah Haggenmüller, et al.
European Urology Open Science (2024) Vol. 70, pp. 91-98
Open Access | Times Cited: 2
Large language models for improving cancer diagnosis and management in primary health care settings
A Andrew, Ethan Tizzard
Journal of Medicine Surgery and Public Health (2024), pp. 100157-100157
Open Access | Times Cited: 1
Application of Self-Evolving AI Agents in Chemical Research: A Novel Intelligent Assistance System
Kangyong Ma
(2024)
Open Access | Times Cited: 1
A Comparison of ChatGPT and Human Questionnaire Evaluations of the Urological Cancer Videos Most Watched on YouTube
Aykut Demirci
Clinical Genitourinary Cancer (2024) Vol. 22, Iss. 5, pp. 102145-102145
Closed Access
“Can Popular AI Large Language Models Provide Reliable Answers to Frequently Asked Questions About Rotator Cuff Tears?”
Ulas Can Kolac, Orhan Mete Karademir, Gökhan Ayık, et al.
JSES International (2024)
Open Access
Evaluation of the Readability, Understandability, and Accuracy of Artificial Intelligence Chatbots in Terms of Biostatistics Literacy
İlkay Doğan, Pınar Günel Karadeniz, İhsan BERK, et al.
European Journal of Therapeutics (2024) Vol. 30, Iss. 6, pp. 900-909
Open Access
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