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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:

Computational pathology in cancer diagnosis, prognosis, and prediction – present day and prospects
Gregory Verghese, Jochen K. Lennerz, Danny Ruta, et al.
The Journal of Pathology (2023) Vol. 260, Iss. 5, pp. 551-563
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Standardizing digital biobanks: integrating imaging, genomic, and clinical data for precision medicine
Valentina Brancato, Giuseppina Esposito, Luigi Coppola, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 23
Digital pathology-based artificial intelligence models for differential diagnosis and prognosis of sporadic odontogenic keratocysts
Xinjia Cai, Heyu Zhang, Yanjin Wang, et al.
International Journal of Oral Science (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 13
Artificial Intelligence with Great Potential in Medical Informatics: A Brief Review
Hao Lin
Deleted Journal (2024) Vol. 1, Iss. 1, pp. 2-9
Open Access | Times Cited: 7
From whole-slide image to biomarker prediction: end-to-end weakly supervised deep learning in computational pathology
Omar S.M. El Nahhas, Marko van Treeck, Georg Wölflein, et al.
Nature Protocols (2024)
Closed Access | Times Cited: 7
Implementation of Digital Pathology and Artificial Intelligence in Routine Pathology Practice
David Y Zhang, Arsha Venkat, Hamdi Khasawneh, et al.
Laboratory Investigation (2024) Vol. 104, Iss. 9, pp. 102111-102111
Closed Access | Times Cited: 6
A novel approach for estimating postmortem intervals under varying temperature conditions using pathology images and artificial intelligence models
Xinggong Liang, Mingyan Deng, Zhengyang Zhu, et al.
International Journal of Legal Medicine (2025)
Closed Access
Enhancing HER2 testing in breast cancer: predicting fluorescence in situ hybridization (FISH) scores from immunohistochemistry images via deep learning
Douglas I. O. Macaulay, Wenchao Han, Mark D. Zarella, et al.
The Journal of Pathology Clinical Research (2025) Vol. 11, Iss. 2
Open Access
Predicting the pathological subdiagnosis of benign prostatic hyperplasia with MRI radiomics: A noninvasive approach
Jun Wang, Weiqing Tang, Zhu Jun, et al.
View (2025)
Open Access
Perspectives on Reducing Barriers to the Adoption of Digital and Computational Pathology Technology by Clinical Labs
Jeffrey L. Bessen, Melissa Alexander, Olivia Foroughi, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 794-794
Open Access
Early Breast Cancer Risk Assessment: Integrating Histopathology with Artificial Intelligence
Mariia Ivanova, Carlo Pescia, Dario Trapani, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 1981-1981
Open Access | Times Cited: 4
HistoMSC: Density and topology analysis for AI-based visual annotation of histopathology whole slide images
Zamani Nazri Ahmad, Khaled Al-Thelaya, Mahmood Alzubaidi, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 109991-109991
Open Access
AI illuminates paths in oral cancer: transformative insights, diagnostic precision, and personalized strategies.
Devesh U. Kapoor, Pushpendra Kumar Saini, Narendra Sharma, et al.
PubMed (2024) Vol. 23, pp. 1091-1116
Closed Access | Times Cited: 3
Artificial Intelligence in Oncology: Present Potential, Prospective Prospects, And Ethical Reviews
Ammar A. Razzak Mahmood, Dr Roopa Murgod, Saswat swarup Badapanda, et al.
International Journal of Trends in OncoScience (2024)
Open Access | Times Cited: 2
Computational pathology: an evolving concept
Ioannis Prassas, Blaise Clarke, Timothy Youssef, et al.
Clinical Chemistry and Laboratory Medicine (CCLM) (2024) Vol. 62, Iss. 11, pp. 2148-2155
Closed Access | Times Cited: 2
Twenty-five years with companion diagnostics
Jan Trøst Jørgensen
Chinese Clinical Oncology (2023) Vol. 12, Iss. 6, pp. 65-65
Open Access | Times Cited: 6
Identification of BGN positive fibroblasts as a driving factor for colorectal cancer and development of its related prognostic model combined with machine learning
Shangshang Hu, Qianni Xiao, Rui Gao, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Integrating Spatial and Morphological Characteristics into Melanoma Prognosis: A Computational Approach
Chang Bian, Garry Ashton, Megan Grant, et al.
Cancers (2024) Vol. 16, Iss. 11, pp. 2026-2026
Open Access | Times Cited: 1
Machine Learning–Assisted Decision Making in Orthopaedic Oncology
Paul A. Rizk, Marcos R. Gonzalez, Bishoy Galoaa, et al.
JBJS Reviews (2024) Vol. 12, Iss. 7
Closed Access | Times Cited: 1
Advancing Automatic Gastritis Diagnosis
Mengke Ma, Xixi Zeng, Linhao Qu, et al.
American Journal Of Pathology (2024) Vol. 194, Iss. 8, pp. 1538-1549
Closed Access | Times Cited: 1
Recent Advances in Pathology: the 2023 Annual Review Issue of The Journal of Pathology
J. Louise Jones, Richard Poulsom, Philip J. Coates
The Journal of Pathology (2023) Vol. 260, Iss. 5, pp. 495-497
Open Access | Times Cited: 2
SegRep: Mask-Based Self-Supervised Learning for Segment Representation in Pathology Images
Chichun Yang, Daisuke Komura, Miwako Kakiuchi, et al.
(2024)
Open Access
结直肠癌病理研究五十年：世界与中国
Maode Lai
Chinese Science Bulletin (Chinese Version) (2024)
Open Access
Preparing Physicians of the Future: Incorporating Data Science into Medical Education
Rishi M. Shah, Kavya M. Shah, Piroz Bahar, et al.
Medical Science Educator (2024) Vol. 34, Iss. 6, pp. 1565-1570
Closed Access
Pathology of Squamous Cell Carcinoma of the Penis: Back to Square One
Diego F. Sánchez, Pedro Oliveira
Urologic Clinics of North America (2024) Vol. 51, Iss. 3, pp. 313-325
Closed Access
Closing the gap in the clinical adoption of computational pathology: a standardized, open-source framework to integrate deep-learning algorithms into the laboratory information system
Miriam Angeloni, Davide Rizzi, Simon Schoen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Closed Access
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