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J. Gevertz · SciRah

Researcher profile · Semantic Scholar

J. Gevertz

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J. Gevertz — researcher profile on SciRah

h-index: 15
Works: 50
Citations: 879

Most-cited papers

Modeling the effects of vasculature evolution on early brain tumor growth.
J. Gevertz, S. Torquato
2006Journal of Theoretical Biology113 citations
Semantic Scholar
In vitro RNA random pools are not structurally diverse: a computational analysis.
J. Gevertz, H. Gan, T. Schlick
2005RNA: A publication of the RNA Society98 citations Open access
Semantic Scholar
Mathematical model of real-time PCR kinetics.
J. Gevertz, S. Dunn, C. M. Roth
2005Biotechnology and Bioengineering89 citations Open access
Semantic Scholar
Mathematical Approach to Differentiate Spontaneous and Induced Evolution to Drug Resistance During Cancer Treatment
James M. Greene, J. Gevertz, Eduardo Sontag
2019JCO Clinical Cancer Informatics73 citations Open access
Semantic Scholar
A practical guide for the generation of model-based virtual clinical trials
Morgan Craig, J. Gevertz, I. Kareva, K. Wilkie
2023Frontiers in Systems Biology53 citations Open access
Semantic Scholar
Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy
Syndi Barish, M. Ochs, Eduardo Sontag, J. Gevertz
2017Proceedings of the National Academy of Sciences of the United States of America49 citations Open access
Semantic Scholar
A Novel Three-Phase Model of Brain Tissue Microstructure
J. Gevertz, S. Torquato
2008PLoS Comput. Biol.48 citations Open access
Semantic Scholar
Computational Modeling of Tumor Response to Vascular-Targeting Therapies—Part I: Validation
J. Gevertz
2011Comput. Math. Methods Medicine41 citations Open access
Semantic Scholar
Treatment strategies for combining immunostimulatory oncolytic virus therapeutics with dendritic cell injections.
J. Wares, J. Crivelli, C. Yun, I. Choi +2 more
2015Mathematical biosciences and engineering : MBE35 citations Open access
Semantic Scholar
Growing heterogeneous tumors in silico.
J. Gevertz, S. Torquato
2009Physical review. E, Statistical, nonlinear, and soft matter physics22 citations
Semantic Scholar
Emergence of Anti-Cancer Drug Resistance: Exploring the Importance of the Microenvironmental Niche via a Spatial Model
J. Gevertz, Zahra Aminzare, Kerri-Ann Norton, Judith Pérez-Velázquez +2 more
201421 citations Open access
Semantic Scholar
LIMITING THE DEVELOPMENT OF ANTI-CANCER DRUG RESISTANCE IN A SPATIAL MODEL OF MICROMETASTASES
Ami B Shah, K. Rejniak, J. Gevertz
2016bioRxiv20 citations Open access
Semantic Scholar
Microenvironmental Niches and Sanctuaries: A Route to Acquired Resistance
Judith Pérez-Velázquez, J. Gevertz, A. Karolak, K. Rejniak
2016Advances in Experimental Medicine and Biology20 citations Open access
Semantic Scholar
Mathematical modeling of an immune checkpoint inhibitor and its synergy with an immunostimulant
Elpiniki Nikolopoulou, S. Eikenberry, J. Gevertz, Y. Kuang
2021Discrete and continuous dynamical systems. Series B19 citations Open access
Semantic Scholar
Developing a Minimally Structured Mathematical Model of Cancer Treatment with Oncolytic Viruses and Dendritic Cell Injections
J. Gevertz, J. Wares
2018Comput. Math. Methods Medicine18 citations Open access
Semantic Scholar
Approaches to generating virtual patient cohorts with applications in oncology
Anudeep Surendran, Justin Le Sauteur-Robitaille, Dana Kleimeier, J. Gevertz +3 more
2022bioRxiv15 citations Open access
Semantic Scholar
From Fitting the Average to Fitting the Individual: A Cautionary Tale for Mathematical Modelers
Michael Luo, Elpiniki Nikolopoulou, J. Gevertz
2021bioRxiv15 citations Open access
Semantic Scholar
Simulating tumor growth in confined heterogeneous environments
J. Gevertz, George T. Gillies, Salvatore Torquato
2008Physical Biology15 citations Open access
Semantic Scholar
Model-informed experimental design recommendations for distinguishing intrinsic and acquired targeted therapeutic resistance in head and neck cancer
Santiago D. Cárdenas, Constance J. Reznik, Ruchira S. Ranaweera, Fei-Fei Song +3 more
2022npj Systems Biology and Applications12 citations Open access
Semantic Scholar
Optimization of vascular-targeting drugs in a computational model of tumor growth.
J. Gevertz
2012Physical review. E, Statistical, nonlinear, and soft matter physics12 citations
Semantic Scholar
Minimally sufficient experimental design using identifiability analysis
J. Gevertz, I. Kareva
2023bioRxiv10 citations Open access
Semantic Scholar
Building Context with Tumor Growth Modeling Projects in Differential Equations
Julie C. Beier, J. Gevertz, K. Howard
201510 citations
Semantic Scholar
Assessing the Role of Patient Generation Techniques in Virtual Clinical Trial Outcomes
J. Gevertz, J. R. Wares
2024Bulletin of Mathematical Biology9 citations Open access
Semantic Scholar
Guiding model‐driven combination dose selection using multi‐objective synergy optimization
J. Gevertz, I. Kareva
2023CPT: Pharmacometrics & Systems Pharmacology9 citations Open access
Semantic Scholar
Mean survival times of absorbing triply periodic minimal surfaces.
J. Gevertz, Salvatore Torquato
2009Physical review. E, Statistical, nonlinear, and soft matter physics8 citations Open access
Semantic Scholar
Understanding therapeutic tolerance through a mathematical model of drug-induced resistance
J. Gevertz, James M. Greene, Samantha Prosperi, Natacha Comandante-Lou +1 more
2024bioRxiv7 citations Open access
Semantic Scholar
Predicting the impact of placing an overdose prevention site in Philadelphia: a mathematical modeling approach
J. Wares, Jing Dong, J. Gevertz, A. Radunskaya +3 more
2021Harm Reduction Journal7 citations Open access
Semantic Scholar
Mitigating non-genetic resistance to checkpoint inhibition based on multiple states of immune exhaustion
I. Kareva, J. Gevertz
2024npj Systems Biology and Applications6 citations Open access
Semantic Scholar
Supplementary Information to Understanding therapeutic tolerance through a mathematical model of drug-induced resistance
J. Gevertz, James M. Greene, Samantha Prosperi, Natacha Comandante-Lou +1 more
5 citations
Semantic Scholar
Delaying cancer progression by integrating toxicity constraints in a model of adaptive therapy
J. Gevertz, H. V. Jain, I. Kareva, K. Wilkie +5 more
2025bioRxiv4 citations Open access
Semantic Scholar
Validation of a Mathematical Model of Cancer Incorporating Spontaneous and Induced Evolution to Drug Resistance
J. Gevertz, James M. Greene, Eduardo Sontag
2019bioRxiv3 citations Open access
Semantic Scholar
Using Virtual Patients to Evaluate Dosing Strategies for Bispecifics With a Bell‐Shaped Efficacy Curve
J. Gevertz, I. Kareva
2025bioRxiv2 citations Open access
Semantic Scholar
Cytokine storm mitigation for exogenous immune agonists
I. Kareva, J. Gevertz
2023bioRxiv2 citations Open access
Semantic Scholar
Mentoring Undergraduate Interdisciplinary Mathematics Research Students: Junior Faculty Experiences
J. Gevertz, Peter S. Kim, J. Wares
20172 citations Open access
Semantic Scholar
Finding causative genes from high-dimensional data: an appraisal of statistical and machine learning approaches
Chamont Wang, J. Gevertz
2016Statistical Applications in Genetics and Molecular Biology2 citations
Semantic Scholar
Microenvironment-Mediated Modeling of Tumor Response to Vascular-Targeting Drugs.
J. Gevertz
2016Advances in Experimental Medicine and Biology2 citations
Semantic Scholar
Integrating Machine Learning into the In Silico Clinical Trial Pipeline.
R. Bekker, R. Brady-Nicholls, L. D. de Pillis, J. Gevertz +1 more
2025Mathematical Biosciences1 citations Open access
Semantic Scholar
Finding Important Genes from High-Dimensional Data: An Appraisal of Statistical Tests and Machine-Learning Approaches
Chamont Wang, J. Gevertz, Chaur-Chin Chen, Leonardo Auslender
2012arXiv.org1 citations
Semantic Scholar
Multi-scale mathematical modeling of heterogeneous tumor growth
J. Gevertz
20091 citations
Semantic Scholar
Spatial Model Selection and Uncertainty Quantification: Comparing Continuous and Discrete Wound Healing Models
John T. Nardini, J. Gevertz
20260 citations
Semantic Scholar
Model-supported patient stratification using multi-objective synergy optimization in combination therapy
J. Gevertz, I. Kareva
2026bioRxiv0 citations
Semantic Scholar
Assessing the Role of Model Complexity in Virtual Clinical Trial Outcomes
J. Gevertz, J. R. Wares
2025Bulletin of Mathematical Biology0 citations Open access
Semantic Scholar
1. Synergizing Teaching and Research at Primarily Undergraduate Institutions Through Student Research by Jana Gevertz
J. Gevertz
2023Notices of the American Mathematical Society0 citations
Semantic Scholar
Using Mathematical Modeling to Distinguish Intrinsic and Acquired Targeted Therapeutic Resistance in Head and Neck Cancer
Santiago D. Cárdenas, Constance J. Reznik, Ruchira S. Ranaweera, Fei-Fei Song +3 more
2022bioRxiv0 citations Open access
Semantic Scholar
Correction to: Predicting the impact of placing an overdose prevention site in Philadelphia: a mathematical modeling approach
J. Wares, Jing Dong, J. Gevertz, A. Radunskaya +3 more
2021Harm Reduction Journal0 citations Open access
Semantic Scholar
Personalized mathematical oncology: Challenges and opportunities
Michael Luo, Elpiniki Nikolopoulou, J. Gevertz
20210 citations
Semantic Scholar
Mathematical and Computational Oncology: Second International Symposium, ISMCO 2020, San Diego, CA, USA, October 8–10, 2020, Proceedings
G. Bebis, M. Alekseyev, Heyrim Cho, J. Gevertz +1 more
2020International Symposium on Mathematical and Computational Oncology0 citations Open access
Semantic Scholar
Fostering Diversity in Top-Rated Pure Mathematics Graduate Programs
J. Gevertz, J. Wares
20200 citations Open access
Semantic Scholar
A Mathematical Exploration of the Development and Therapeutic Implications of Anti-Cancer Drug Resistance
J. Gevertz
20140 citations
Semantic Scholar
Correction: A Novel Three-Phase Model of Brain Tissue Microstructure
J. Gevertz, S. Torquato
2009PLoS Computational Biology0 citations Open access
Semantic Scholar

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