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:

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 51-75 of 199 citing articles:

Fully Automatic Calibration of Tumor-Growth Models Using a Single mpMRI Scan
Klaudius Scheufele, Shashank Subramanian, George Biros
IEEE Transactions on Medical Imaging (2020) Vol. 40, Iss. 1, pp. 193-204
Open Access | Times Cited: 24

Digitize your Biology! Modeling multicellular systems through interpretable cell behavior
Jeanette Johnson, Genevieve Stein-O’Brien, M. Booth, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9

Mathematical modeling of radiotherapy: impact of model selection on estimating minimum radiation dose for tumor control
Achyudhan R. Kutuva, Jimmy J. Caudell, Kosj Yamoah, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9

Pairwise and higher-order epistatic effects among somatic cancer mutations across oncogenesis
Jorge A. Alfaro-Murillo, Jeffrey P. Townsend
Mathematical Biosciences (2023) Vol. 366, pp. 109091-109091
Open Access | Times Cited: 9

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

Integrating frontiers: a holistic, quantum and evolutionary approach to conquering cancer through systems biology and multidisciplinary synergy
Matheus Correia Casotti, Débora Dummer Meira, Aléxia Stefani Siqueira Zetum, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3

Multiscale modeling in disease
Ashlee N. Ford Versypt
Current Opinion in Systems Biology (2021) Vol. 27, pp. 100340-100340
Open Access | Times Cited: 19

Quantification of spatial subclonal interactions enhancing the invasive phenotype of pediatric glioma
Haider Tari, Ketty Kessler, Nicholas Trahearn, et al.
Cell Reports (2022) Vol. 40, Iss. 9, pp. 111283-111283
Open Access | Times Cited: 14

Bayesian inference using Gaussian process surrogates in cancer modeling
Heber L. Rocha, João Vitor de O. Silva, Renato S. Silva, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 399, pp. 115412-115412
Closed Access | Times Cited: 14

Modeling cancer’s ecological and evolutionary dynamics
Anuraag Bukkuri, Kenneth J. Pienta, Ian Hockett, et al.
Medical Oncology (2023) Vol. 40, Iss. 4
Open Access | Times Cited: 7

Novel computational biology modeling system can accurately forecast response to neoadjuvant therapy in early breast cancer
J.R. Peterson, John A. Cole, John R. Pfeiffer, et al.
Breast Cancer Research (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 7

Games and the Treatment Convexity of Cancer
Péter Bayer, Jeffrey West
Dynamic Games and Applications (2023) Vol. 13, Iss. 4, pp. 1088-1105
Open Access | Times Cited: 7

Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin
Emily Y. Yang, Grant Howard, Amy Brock, et al.
Frontiers in Molecular Biosciences (2022) Vol. 9
Open Access | Times Cited: 12

The importance of dead material within a tumour on the dynamics in response to radiotherapy
Thomas D. Lewin, Helen M. Byrne, Philip K. Maini, et al.
Physics in Medicine and Biology (2019) Vol. 65, Iss. 1, pp. 015007-015007
Open Access | Times Cited: 19

Multiatlas Calibration of Biophysical Brain Tumor Growth Models with Mass Effect
Shashank Subramanian, Klaudius Scheufele, Naveen Himthani, et al.
Lecture notes in computer science (2020), pp. 551-560
Open Access | Times Cited: 17

Optimizing combination therapy in a murine model of HER2+ breast cancer
Ernesto A. B. F. Lima, Reid A.F. Wyde, Anna G. Sorace, et al.
Computer Methods in Applied Mechanics and Engineering (2022) Vol. 402, pp. 115484-115484
Open Access | Times Cited: 11

Improving immunovirotherapies: the intersection of mathematical modelling and experiments
Christine E. Engeland, Johannes P.W. Heidbuechel, Robyn P. Araujo, et al.
ImmunoInformatics (2022) Vol. 6, pp. 100011-100011
Open Access | Times Cited: 10

In-silico study of asymmetric remodeling of tumors in response to external biochemical stimuli
Meitham Amereh, Mohsen Akbari, Ben Nadler
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6

The future of precision medicine in oncology
Ahmad Z. Al Meslamani
Expert Review of Precision Medicine and Drug Development (2023) Vol. 8, Iss. 1, pp. 43-47
Open Access | Times Cited: 6

Combining hypoxia-activated prodrugs and radiotherapy in silico: Impact of treatment scheduling and the intra-tumoural oxygen landscape
Sara Hamis, Mohammad Kohandel, Ludwig J. Dubois, et al.
PLoS Computational Biology (2020) Vol. 16, Iss. 8, pp. e1008041-e1008041
Open Access | Times Cited: 16

Response to CAR T cell therapy can be explained by ecological cell dynamics and stochastic extinction events
Gregory J. Kimmel, Frederick L. Locke, Philipp M. Altrock
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 16

TNF-α inhibitor reduces drug-resistance to anti-PD-1: A mathematical model
Xiulan Lai, Wenrui Hao, Avner Friedman
PLoS ONE (2020) Vol. 15, Iss. 4, pp. e0231499-e0231499
Open Access | Times Cited: 15

The contribution of evolutionary game theory to understanding and treating cancer
Benjamin Wölfl, Hedy te Rietmole, Mónica L. Salvioli, et al.
medRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 15

A New Mathematical Model for Controlling Tumor Growth Based on Microenvironment Acidity and Oxygen Concentration
Fateme Pourhasanzade, S. H. Sabzpoushan
BioMed Research International (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 13

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