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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:

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: 16

Showing 16 citing articles:

TWIN-GPT : Digital Twins for Clinical Trials via Large Language Model
Yue Wang, Tianfan Fu, Yinlong Xu, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2024)
Closed Access | Times Cited: 10
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
Survey and perspective on verification, validation, and uncertainty quantification of digital twins for precision medicine
Kaan Sel, Andrea Hawkins‐Daarud, Anirban Chaudhuri, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Digital twin systems for musculoskeletal applications: A current concepts review
Pedro Diniz, Bernd Grimm, Fernando García, et al.
Knee Surgery Sports Traumatology Arthroscopy (2025)
Closed Access
Proceedings of the National Cancer Institute Workshop on combining immunotherapy with radiotherapy: challenges and opportunities for clinical translation
Zachary S. Morris, Sandra Demaria, Arta M. Monjazeb, et al.
The Lancet Oncology (2025) Vol. 26, Iss. 3, pp. e152-e170
Closed Access
MRI-based digital twins to improve treatment response of breast cancer by optimizing neoadjuvant chemotherapy regimens
Chengyue Wu, Ernesto A. B. F. Lima, Casey Stowers, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Digital Twins in Medicine: Where We Stand?
Dionysia Chrysanthakopoulou, Constantinos Koutsojannis
Pervasive Computing Technologies for Healthcare (2025), pp. 221-237
Closed Access
Fast model calibration for predicting the response of breast cancer to chemotherapy using proper orthogonal decomposition
Chase Christenson, Chengyue Wu, David A. Hormuth, et al.
Journal of Computational Science (2024) Vol. 82, pp. 102400-102400
Closed Access | Times Cited: 3
Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade
Theinmozhi Arulraj, Hanwen Wang, Atul Deshpande, et al.
Proceedings of the National Academy of Sciences (2024) Vol. 121, Iss. 45
Open Access | Times Cited: 3
Virtual patient analysis identifies strategies to improve the performance of predictive biomarkers for PD-1 blockade
Theinmozhi Arulraj, Hanwen Wang, Atul Deshpande, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Advancing Precision Oncology with Digital and Virtual Twins: A Scoping Review
Sebastian-Aurelian Ștefănigă, Ariana‐Anamaria Cordoș, Todor Ivașcu, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3817-3817
Open Access | Times Cited: 2
Health Digital Twins Supported by Artificial Intelligence-based Algorithms and Extended Reality in Cardiology
Zofia Rudnicka, Klaudia Proniewska, Mark D. Perkins, et al.
arXiv (Cornell University) (2024)
Open Access | Times Cited: 1
Androgen receptor signalling in non-prostatic malignancies: challenges and opportunities
G. Paolo Dotto, An Buckinx, Berna C. Özdemir, et al.
Nature reviews. Cancer (2024)
Closed Access | Times Cited: 1
Virtual Clinical Trials of BMP4 Differentiation Therapy: Digital Twins to Aid Glioblastoma Trial Design
Nicholas Harbour, Lee Curtin, M.E. Hubbard, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Artificial Intelligence-Aided Digital Twin Design: A Systematic Review
Nan Hao, Yuangang Li, Kecheng Liu, et al.
(2024)
Open Access
Calibrating tumor growth and invasion parameters with spectral spatial analysis of cancer biopsy tissues
S. Pasetto, Michael Montejo, Mohammad U. Zahid, et al.
npj Systems Biology and Applications (2024) Vol. 10, Iss. 1
Open Access
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