Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

The 2019 mathematical oncology roadmap
Russell C. Rockne, Andrea Hawkins‐Daarud, Kristin R. Swanson, et al.
Physical Biology (2019) Vol. 16, Iss. 4, pp. 041005-041005
Open Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

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: 22
In silico modelling of cancer nanomedicine, across scales and transport barriers
Namid Stillman, Marina Kovačević, Igor Balaž, et al.
npj Computational Materials (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 83
The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer
Benjamin Wölfl, Hedy te Rietmole, Mónica L. Salvioli, et al.
Dynamic Games and Applications (2021) Vol. 12, Iss. 2, pp. 313-342
Open Access | Times Cited: 74
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
Deep and statistical learning in biomedical imaging: State of the art in 3D MRI brain tumor segmentation
K. Ruwani M. Fernando, Chris P. Tsokos
Information Fusion (2022) Vol. 92, pp. 450-465
Open Access | Times Cited: 42
Nicotinamide metabolism face-off between macrophages and fibroblasts manipulates the microenvironment in gastric cancer
Yu Jiang, Yawen Wang, Guofeng Chen, et al.
Cell Metabolism (2024) Vol. 36, Iss. 8, pp. 1806-1822.e11
Open Access | Times Cited: 16
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: 13
Agent-based modeling in cancer biomedicine: applications and tools for calibration and validation
Nicolò Cogno, Cristian Axenie, Roman Bauer, et al.
Cancer Biology & Therapy (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 10
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: 9
Identifiability and model selection frameworks for models of high-grade glioma response to chemoradiation
Khushi C. Hiremath, Kenan Atakishi, Ernesto A. B. F. Lima, et al.
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2025) Vol. 383, Iss. 2293
Open Access | Times Cited: 1
Zebrafish Avatars towards Personalized Medicine—A Comparative Review between Avatar Models
Bruna Costa, Marta F Estrada, Raquel V. Mendes, et al.
Cells (2020) Vol. 9, Iss. 2, pp. 293-293
Open Access | Times Cited: 70
Cancer modeling: From mechanistic to data-driven approaches, and from fundamental insights to clinical applications
Sophie Bekisz, Liesbet Geris
Journal of Computational Science (2020) Vol. 46, pp. 101198-101198
Open Access | Times Cited: 55
Image-based personalization of computational models for predicting response of high-grade glioma to chemoradiation
David A. Hormuth, Karine A. Al Feghali, Andrew M. Elliott, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 49
Biologically-Based Mathematical Modeling of Tumor Vasculature and Angiogenesis via Time-Resolved Imaging Data
David A. Hormuth, Caleb M. Phillips, Chengyue Wu, et al.
Cancers (2021) Vol. 13, Iss. 12, pp. 3008-3008
Open Access | Times Cited: 43
Mathematical modeling of radiotherapy and its impact on tumor interactions with the immune system
Rebecca Anne Bekker, Sungjune Kim, Shari Pilon‐Thomas, et al.
Neoplasia (2022) Vol. 28, pp. 100796-100796
Open Access | Times Cited: 38
Opportunities for improving brain cancer treatment outcomes through imaging-based mathematical modeling of the delivery of radiotherapy and immunotherapy
David A. Hormuth, Maguy Farhat, Chase Christenson, et al.
Advanced Drug Delivery Reviews (2022) Vol. 187, pp. 114367-114367
Open Access | Times Cited: 33
Data driven model discovery and interpretation for CAR T-cell killing using sparse identification and latent variables
Alexander B. Brummer, Agata Xella, Ryan T. Woodall, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 20
An Overview of Mathematical Modelling in Cancer Research: Fractional Calculus as Modelling Tool
Lourenço Côrte Vieira, Rafael S. Costa, Duarte Valério
Fractal and Fractional (2023) Vol. 7, Iss. 8, pp. 595-595
Open Access | Times Cited: 20
Quantification of spatial and phenotypic heterogeneity in an agent-based model of tumour-macrophage interactions
Joshua A. Bull, Helen M. Byrne
PLoS Computational Biology (2023) Vol. 19, Iss. 3, pp. e1010994-e1010994
Open Access | Times Cited: 18
Predicting Radiotherapy Patient Outcomes with Real-Time Clinical Data Using Mathematical Modelling
Alexander P. Browning, Thomas D. Lewin, Ruth E. Baker, et al.
Bulletin of Mathematical Biology (2024) Vol. 86, Iss. 2
Open Access | Times Cited: 7
Seven challenges in the multiscale modeling of multicellular tissues
Alexander G. Fletcher, James M. Osborne
WIREs Mechanisms of Disease (2021) Vol. 14, Iss. 1
Open Access | Times Cited: 41
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: 23
Optimization of chemotherapy regimens using mathematical programming
Konstantin Bräutigam
Computers & Industrial Engineering (2024) Vol. 191, pp. 110078-110078
Open Access | Times Cited: 6
Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling
David A. Hormuth, Angela M. Jarrett, Thomas E. Yankeelov
Radiation Oncology (2020) Vol. 15, Iss. 1
Open Access | Times Cited: 36
Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer
Angela M. Jarrett, David A. Hormuth, Vikram Adhikarla, et al.
Scientific Reports (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 35
Page 1 - Next Page

Scroll to top