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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:

Integrating mechanism-based modeling with biomedical imaging to build practical digital twins for clinical oncology
Chengyue Wu, Guillermo Lorenzo, David A. Hormuth, et al.
Biophysics Reviews (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Digital twins for health: a scoping review
Evangelia Katsoulakis, Qi Wang, Huanmei Wu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 102
Digital twins in medicine
Reinhard Laubenbacher, Borna Mehrad, Ilya Shmulevich, et al.
Nature Computational Science (2024) Vol. 4, Iss. 3, pp. 184-191
Open Access | Times Cited: 35
Patient-Specific, Mechanistic Models of Tumor Growth Incorporating Artificial Intelligence and Big Data
Guillermo Lorenzo, Syed Rakin Ahmed, David A. Hormuth, et al.
Annual Review of Biomedical Engineering (2024) Vol. 26, Iss. 1, pp. 529-560
Open Access | Times Cited: 19
Digital twins as global learning health and disease models for preventive and personalized medicine
Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, et al.
Genome Medicine (2025) Vol. 17, Iss. 1
Open Access | Times Cited: 3
Exploring approaches for predictive cancer patient digital twins: Opportunities for collaboration and innovation
Eric Stahlberg, Mohamed H. Abdel‐Rahman, Boris Aguilar, et al.
Frontiers in Digital Health (2022) Vol. 4
Open Access | Times Cited: 57
MRI-Based Digital Models Forecast Patient-Specific Treatment Responses to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
Chengyue Wu, Angela M. Jarrett, Zijian Zhou, et al.
Cancer Research (2022) Vol. 82, Iss. 18, pp. 3394-3404
Open Access | Times Cited: 41
Harnessing progress in radiotherapy for global cancer control
David A. Jaffray, Felícia Marie Knaul, Michaël Baumann, et al.
Nature Cancer (2023) Vol. 4, Iss. 9, pp. 1228-1238
Closed Access | Times Cited: 33
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
Anirban Chaudhuri, Graham Pash, David A. Hormuth, et al.
Frontiers in Artificial Intelligence (2023) Vol. 6
Open Access | Times Cited: 30
Artificial Intelligence and Healthcare Simulation: The Shifting Landscape of Medical Education
Allan J. Hamilton
Cureus (2024)
Open Access | Times Cited: 13
A review of mechanistic learning in mathematical oncology
John Metzcar, Catherine R. Jutzeler, Paul Macklin, et al.
Frontiers in Immunology (2024) Vol. 15
Open Access | Times Cited: 12
Toward mechanistic medical digital twins: some use cases in immunology
Reinhard Laubenbacher, Fred Adler, Gary An, et al.
Frontiers in Digital Health (2024) Vol. 6
Open Access | Times Cited: 9
Forum on immune digital twins: a meeting report
Reinhard Laubenbacher, Fred Adler, Gary An, et al.
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 8
Theranostic digital twins: Concept, framework and roadmap towards personalized radiopharmaceutical therapies
Hamid Abdollahi, Fereshteh Yousefirizi, Isaac Shiri, et al.
Theranostics (2024) Vol. 14, Iss. 9, pp. 3404-3422
Open Access | Times Cited: 8
Advancing Healthcare with Digital Twins: A Meta-Review of Applications and Implementation Challenges (Preprint)
Mickaël Ringeval, Faustin Armel Etindele Sosso, Martin Cousineau, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e69544-e69544
Open Access | Times Cited: 1
Computational Nuclear Oncology Toward Precision Radiopharmaceutical Therapies: Current Tools, Techniques, and Uncharted Territories
Tahir Yusufaly, Emilie Roncali, Julia Brosch-Lenz, et al.
Journal of Nuclear Medicine (2025), pp. jnumed.124.267927-jnumed.124.267927
Closed Access | Times Cited: 1
Digital twins and AI transforming healthcare systems through innovation and data-driven decision making
Adel Oulefki, Abbes Amira, Sebti Foufou
Health and Technology (2025)
Closed Access | Times Cited: 1
Image biomarkers and explainable AI: handcrafted features versus deep learned features
Leonardo Rundo, Carmelo Militello
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 7
Digital twins in healthcare and biomedicine
Abdülhamit Subaşı, Muhammed Enes Subasi
Elsevier eBooks (2024), pp. 365-401
Closed Access | Times Cited: 6
Theranostic digital twins for personalized radiopharmaceutical therapies: Reimagining theranostics via computational nuclear oncology
Arman Rahmim, Julia Brosch-Lenz, Ali Fele‐Paranj, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 22
Designing clinical trials for patients who are not average
Thomas E. Yankeelov, David A. Hormuth, Ernesto A. B. F. Lima, et al.
iScience (2023) Vol. 27, Iss. 1, pp. 108589-108589
Open Access | Times Cited: 15
A Pilot Study on Patient-specific Computational Forecasting of Prostate Cancer Growth during Active Surveillance Using an Imaging-informed Biomechanistic Model
Guillermo Lorenzo, Jon S. Heiselman, Michael A. Liss, et al.
Cancer Research Communications (2024) Vol. 4, Iss. 3, pp. 617-633
Open Access | Times Cited: 5
Digital Twins Generated by Artificial Intelligence in Personalized Healthcare
M. Łukaniszyn, Łukasz Majka, Barbara Grochowicz, et al.
Applied Sciences (2024) Vol. 14, Iss. 20, pp. 9404-9404
Open Access | Times Cited: 5
Medical Digital Twin: A Review on Technical Principles and Clinical Applications
Mario Tortora, F Pacchiano, Suely Fazio Ferraciolli, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 324-324
Open Access
Technological Advances for Digital Twins in the Metaverse for Sustainable Healthcare
Anupama K. Ingale, Hyung Seok Kim, J. Divya Udayan, et al.
Advances in healthcare information systems and administration book series (2025), pp. 77-106
Closed Access
Sensing the Future of Thrombosis Management: Integrating Vessel-on-a-Chip Models, Advanced Biosensors, and AI-Driven Digital Twins
Yunduo Charles Zhao, Zihao Wang, Haimei Zhao, et al.
ACS Sensors (2025)
Closed Access
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