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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.

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Showing 1-25 of 47 citing articles:

A visual–language foundation model for pathology image analysis using medical Twitter
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
Nature Medicine (2023) Vol. 29, Iss. 9, pp. 2307-2316
Closed Access | Times Cited: 192
A visual-language foundation model for computational pathology
Ming Y. Lu, Bowen Chen, Drew F. K. Williamson, et al.
Nature Medicine (2024) Vol. 30, Iss. 3, pp. 863-874
Open Access | Times Cited: 104
A whole-slide foundation model for digital pathology from real-world data
Hanwen Xu, Naoto Usuyama, Jaspreet Bagga, et al.
Nature (2024) Vol. 630, Iss. 8015, pp. 181-188
Open Access | Times Cited: 89
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: 52
Artificial Intelligence in Breast Cancer Diagnosis and Personalized Medicine
Jong Seok Ahn, Sangwon Shin, Su‐A Yang, et al.
Journal of Breast Cancer (2023) Vol. 26, Iss. 5, pp. 405-405
Open Access | Times Cited: 49
Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc‐Huy Trinh, et al.
Journal of Pathology Informatics (2024), pp. 100357-100357
Open Access | Times Cited: 31
Artificial intelligence’s impact on breast cancer pathology: a literature review
Amr S. Soliman, Zaibo Li, Anil V. Parwani
Diagnostic Pathology (2024) Vol. 19, Iss. 1
Open Access | Times Cited: 17
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Accessible model predicts response in hormone receptor positive HER2 negative breast cancer receiving neoadjuvant chemotherapy
Luca Mastrantoni, Giovanna Garufi, Giulia Giordano, et al.
npj Breast Cancer (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 1
A population-level digital histologic biomarker for enhanced prognosis of invasive breast cancer
Mohamed Amgad, James M. Hodge, Maha AT Elsebaie, et al.
Nature Medicine (2023) Vol. 30, Iss. 1, pp. 85-97
Open Access | Times Cited: 38
Augmented interpretation of HER2, ER, and PR in breast cancer by artificial intelligence analyzer: enhancing interobserver agreement through a reader study of 201 cases
Minsun Jung, Seung Geun Song, Soo Ick Cho, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 11
Publicly available datasets of breast histopathology H&E whole-slide images: A scoping review
Masoud Tafavvoghi, Lars Ailo Bongo, Nikita Shvetsov, et al.
Journal of Pathology Informatics (2024) Vol. 15, pp. 100363-100363
Open Access | Times Cited: 10
A pathologist–AI collaboration framework for enhancing diagnostic accuracies and efficiencies
Zhi Huang, Eric Yang, Jeanne Shen, et al.
Nature Biomedical Engineering (2024)
Closed Access | Times Cited: 9
The ACROBAT 2022 challenge: Automatic registration of breast cancer tissue
Philippe Weitz, Masi Valkonen, Leslie Solorzano, et al.
Medical Image Analysis (2024) Vol. 97, pp. 103257-103257
Open Access | Times Cited: 8
Leveraging medical Twitter to build a visual–language foundation model for pathology AI
Zhi Huang, Federico Bianchi, Mert Yüksekgönül, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 20
Targeting HER2 heterogeneity in breast and gastrointestinal cancers
Carmine Valenza, Lorenzo Guidi, Elena Battaiotto, et al.
Trends in cancer (2023) Vol. 10, Iss. 2, pp. 113-123
Closed Access | Times Cited: 20
Immune Biomarkers in Triple-Negative Breast Cancer: Improving the Predictivity of Current Testing Methods
Francesca Porta, Elham Sajjadi, Konstantinos Venetis, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 7, pp. 1176-1176
Open Access | Times Cited: 17
Current status and prospects of artificial intelligence in breast cancer pathology: convolutional neural networks to prospective Vision Transformers
Ayaka Katayama, Yuki Aoki, Yukako Watanabe, et al.
International Journal of Clinical Oncology (2024) Vol. 29, Iss. 11, pp. 1648-1668
Closed Access | Times Cited: 6
Artificial intelligence in digital histopathology for predicting patient prognosis and treatment efficacy in breast cancer
Christine McCaffrey, Chowdhury Arif Jahangir, Clodagh Murphy, et al.
Expert Review of Molecular Diagnostics (2024) Vol. 24, Iss. 5, pp. 363-377
Open Access | Times Cited: 6
Self-interactive learning: Fusion and evolution of multi-scale histomorphology features for molecular traits prediction in computational pathology
Yang Hu, Korsuk Sirinukunwattana, Bin Li, et al.
Medical Image Analysis (2025) Vol. 101, pp. 103437-103437
Closed Access
Artificial Intelligence–Powered Human Epidermal Growth Factor Receptor 2 and Tumor Microenvironment Analysis in Human Epidermal Growth Factor Receptor 2–Amplified Metastatic Colorectal Cancer: Exploratory Analysis of Phase II TRIUMPH Trial
Mitsuho Imai, Yoshiaki Nakamura, Sangwon Shin, et al.
JCO Precision Oncology (2025), Iss. 9
Closed Access
Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Machine learning-based spatial characterization of tumor-immune microenvironment in the EORTC 10994/BIG 1-00 early breast cancer trial
Ioannis Zerdes, Alexios Matikas, Artur Mezheyeuski, et al.
npj Breast Cancer (2025) Vol. 11, Iss. 1
Open Access
Harnessing Artificial Intelligence for Precision Diagnosis and Treatment of Triple Negative Breast Cancer
Md Sadique Hussain, Prasanna Srinivasan Ramalingam, Gayathri Chellasamy, et al.
Clinical Breast Cancer (2025)
Closed Access
Computational pathology to improve biomarker testing in breast cancer: how close are we?
Elham Sajjadi, Chiara Frascarelli, Konstantinos Venetis, et al.
European Journal of Cancer Prevention (2023) Vol. 32, Iss. 5, pp. 460-467
Closed Access | Times Cited: 11
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