| Modeling the effects of vasculature evolution on early brain tumor growth JL Gevertz, S Torquato Journal of Theoretical Biology 243 (4), 517-531, 2006 | 132 | 2006 |
| Mathematical model of real‐time PCR kinetics JL Gevertz, SM Dunn, CM Roth Biotechnology and bioengineering 92 (3), 346-355, 2005 | 114 | 2005 |
| In vitro RNA random pools are not structurally diverse: a computational analysis J Gevertz, HH Gan, T Schlick Rna 11 (6), 853-863, 2005 | 109 | 2005 |
| Simulating tumor growth in confined heterogeneous environments JL Gevertz, GT Gillies, S Torquato Physical Biology 5 (3), 036010, 2008 | 71 | 2008 |
| Mathematical approach to differentiate spontaneous and induced evolution to drug resistance during cancer treatment JM Greene, JL Gevertz, ED Sontag JCO clinical cancer informatics 3, 1-20, 2019 | 68 | 2019 |
| A novel COVID-19 epidemiological model with explicit susceptible and asymptomatic isolation compartments reveals unexpected consequences of timing social distancing JL Gevertz, JM Greene, CH Sanchez-Tapia, ED Sontag Journal of Theoretical Biology 510, 110539, 2021 | 63 | 2021 |
| A novel three-phase model of brain tissue microstructure JL Gevertz, S Torquato PLoS Computational Biology 4 (8), e1000152, 2008 | 62 | 2008 |
| Computational Modeling of Tumor Response to Vascular‐Targeting Therapies—Part I: Validation JL Gevertz Computational and mathematical methods in medicine 2011 (1), 830515, 2011 | 45 | 2011 |
| Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy S Barish, MF Ochs, ED Sontag, JL Gevertz Proceedings of the National Academy of Sciences 114 (31), E6277-E6286, 2017 | 42 | 2017 |
| Treatment strategies for combining immunostimulatory oncolytic virus therapeutics with dendritic cell injections JR Wares, JJ Crivelli, CO Yun, IK Choi, JL Gevertz, PS Kim Mathematical Biosciences & Engineering 12 (6), 1237-1256, 2015 | 35 | 2015 |
| Limiting the development of anti-cancer drug resistance in a spatial model of micrometastases AB Shah, KA Rejniak, JL Gevertz Mathematical biosciences and engineering: MBE 13 (6), 1185, 2016 | 30 | 2016 |
| Microenvironmental niches and sanctuaries: a route to acquired resistance J Pérez-Velázquez, JL Gevertz, A Karolak, KA Rejniak Systems Biology of Tumor Microenvironment: Quantitative Modeling and …, 2016 | 27 | 2016 |
| Developing a minimally structured mathematical model of cancer treatment with oncolytic viruses and dendritic cell injections JL Gevertz, JR Wares Computational and Mathematical Methods in Medicine 2018 (1), 8760371, 2018 | 26 | 2018 |
| Growing heterogeneous tumors in silico J Gevertz, S Torquato Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (5 …, 2009 | 23 | 2009 |
| Emergence of anti-cancer drug resistance: exploring the importance of the microenvironmental niche via a spatial model JL Gevertz, Z Aminzare, KA Norton, J Pérez-Velázquez, A Volkening, ... Applications of dynamical systems in biology and medicine, 1-34, 2015 | 20 | 2015 |
| Optimization of vascular-targeting drugs in a computational model of tumor growth J Gevertz Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 85 (4 …, 2012 | 13 | 2012 |
| Mathematical modeling of an immune checkpoint inhibitor and its synergy with an immunostimulant E Nikolopoulou, SE Eikenberry, JL Gevertz, Y Kuang Discrete and Continuous Dynamical Systems-B 26 (4), 2133-2159, 2021 | 12 | 2021 |
| Building context with tumor growth modeling projects in differential equations JC Beier, JL Gevertz, KE Howard PRIMUS 25 (4), 297-325, 2015 | 10 | 2015 |
| Predicting the impact of placing an overdose prevention site in Philadelphia: a mathematical modeling approach JR Wares, J Dong, JL Gevertz, A Radunskaya, K Vine, D Wiebe, ... Harm reduction journal 18, 1-11, 2021 | 9 | 2021 |
| Mean survival times of absorbing triply periodic minimal surfaces J Gevertz, S Torquato Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 80 (1 …, 2009 | 8 | 2009 |
Salvatore TorquatoLewis Bernard Professor of Natural Sciences, Department of Chemistry, Physics and Materials Science在 princeton.edu 的电子邮件经过验证
