| Classical mathematical models for description and prediction of experimental tumor growth S Benzekry, C Lamont, A Beheshti, A Tracz, JML Ebos, L Hlatky, ... PLoS computational biology 10 (8), e1003800, 2014 | 641 | 2014 |
| Mathematical modeling of cancer immunotherapy and its synergy with radiotherapy R Serre, S Benzekry, L Padovani, C Meille, N André, J Ciccolini, F Barlesi, ... Cancer research 76 (17), 4931-4940, 2016 | 189 | 2016 |
| Population modeling of tumor growth curves and the reduced Gompertz model improve prediction of the age of experimental tumors C Vaghi, A Rodallec, R Fanciullino, J Ciccolini, JP Mochel, M Mastri, ... PLoS computational biology 16 (2), e1007178, 2020 | 159 | 2020 |
| Metronomic reloaded: Theoretical models bringing chemotherapy into the era of precision medicine S Benzekry, E Pasquier, D Barbolosi, B Lacarelle, F Barlési, N André, ... Seminars in Cancer Biology 35, 53-61, 2015 | 97 | 2015 |
| Modeling Spontaneous Metastasis following Surgery: An In Vivo-In Silico Approach S Benzekry, A Tracz, M Mastri, R Corbelli, D Barbolosi, JML Ebos Cancer research 76 (3), 535-547, 2016 | 88 | 2016 |
| Artificial intelligence and mechanistic modeling for clinical decision making in oncology S Benzekry Clinical Pharmacology & Therapeutics 108 (3), 471-486, 2020 | 85 | 2020 |
| Machine learning and mechanistic modeling for prediction of metastatic relapse in early-stage breast cancer C Nicolò, C Périer, M Prague, C Bellera, G MacGrogan, O Saut, ... JCO clinical cancer informatics 4, 259-274, 2020 | 69 | 2020 |
| Maximum tolerated dose versus metronomic scheduling in the treatment of metastatic cancers S Benzekry, P Hahnfeldt Journal of theoretical biology 335, 235-244, 2013 | 63 | 2013 |
| Pharmacokinetics variability: Why nanoparticles are not just magic-bullets in oncology A Rodallec, S Benzekry, B Lacarelle, J Ciccolini, R Fanciullino Critical Reviews in Oncology/Hematology 129, 1-12, 2018 | 50 | 2018 |
| Mathematical modeling of tumor–tumor distant interactions supports a systemic control of tumor growth S Benzekry, C Lamont, D Barbolosi, L Hlatky, P Hahnfeldt Cancer research 77 (18), 5183-5193, 2017 | 48 | 2017 |
| Turning cold tumors into hot tumors: harnessing the potential of tumor immunity using nanoparticles A Rodallec, G Sicard, R Fanciullino, S Benzekry, B Lacarelle, G Milano, ... Expert opinion on drug metabolism & toxicology 14 (11), 1139-1147, 2018 | 46 | 2018 |
| Computational modelling of metastasis development in renal cell carcinoma E Baratchart, S Benzekry, A Bikfalvi, T Colin, LS Cooley, R Pineau, ... PLoS computational biology 11 (11), e1004626, 2015 | 46 | 2015 |
| A new mathematical model for optimizing the combination between antiangiogenic and cytotoxic drugs in oncology S Benzekry, G Chapuisat, J Ciccolini, A Erlinger, F Hubert Comptes Rendus. Mathématique 350 (1-2), 23-28, 2012 | 44 | 2012 |
| Model driven optimization of antiangiogenics+ cytotoxics combination: application to breast cancer mice treated with bevacizumab+ paclitaxel doublet leads to reduced tumor … S Mollard, J Ciccolini, DC Imbs, R El Cheikh, D Barbolosi, S Benzekry Oncotarget 8 (14), 23087, 2017 | 42 | 2017 |
| Host age is a systemic regulator of gene expression impacting cancer progression A Beheshti, S Benzekry, JT McDonald, L Ma, M Peluso, P Hahnfeldt, ... Cancer research 75 (6), 1134-1143, 2015 | 42 | 2015 |
| Design principles for cancer therapy guided by changes in complexity of protein-protein interaction networks S Benzekry, JA Tuszynski, EA Rietman, G Lakka Klement Biology direct 10, 1-14, 2015 | 41 | 2015 |
| Global dormancy of metastases due to systemic inhibition of angiogenesis S Benzekry, A Gandolfi, P Hahnfeldt PloS one 9 (1), e84249, 2014 | 39 | 2014 |
| Quantitative mathematical modeling of clinical brain metastasis dynamics in non-small cell lung cancer M Bilous, C Serdjebi, A Boyer, P Tomasini, C Pouypoudat, D Barbolosi, ... Scientific Reports 9 (1), 13018, 2019 | 38 | 2019 |
| Modeling the impact of anticancer agents on metastatic spreading S Benzekry, N André, A Benabdallah, J Ciccolini, C Faivre, F Hubert, ... Mathematical Modelling of Natural Phenomena 7 (1), 306-336, 2012 | 38 | 2012 |
| Machine learning for prediction of immunotherapy efficacy in non-small cell lung cancer from simple clinical and biological data S Benzekry, M Grangeon, M Karlsen, M Alexa, I Bicalho-Frazeto, ... Cancers 13 (24), 6210, 2021 | 30 | 2021 |
joseph ciccoliniAix Marseille Univ (AMU, SMARTc COMPO CRCM) and Assistance Publique Hôpitaux de Marseille (APHM)確認したメール アドレス: univ-amu.fr