Multiscale cancer modeling T Deisboeck, Z Wang, P Macklin, V Cristini Annual Review of Biomedical Engineering 13, 127-155, 2011 | 451 | 2011 |
Multiscale agent-based cancer modeling L Zhang, Z Wang, JA Sagotsky, TS Deisboeck Journal of mathematical biology 58 (4-5), 545-559, 2009 | 171 | 2009 |
Simulating cancer growth with multiscale agent-based modeling Z Wang, JD Butner, R Kerketta, V Cristini, TS Deisboeck Seminars in cancer biology 30, 70-78, 2015 | 169 | 2015 |
Simulating non-small cell lung cancer with a multiscale agent-based model Z Wang, L Zhang, J Sagotsky, TS Deisboeck Theoretical Biology and Medical Modelling 4 (1), 50, 2007 | 96 | 2007 |
Computational modeling of brain tumors: discrete, continuum or hybrid? Z Wang, TS Deisboeck Scientific modeling and simulations, 381-393, 2008 | 78 | 2008 |
Simulating brain tumor heterogeneity with a multiscale agent-based model: linking molecular signatures, phenotypes and expansion rate L Zhang, CG Strouthos, Z Wang, TS Deisboeck Mathematical and computer modelling 49 (1-2), 307-319, 2009 | 75 | 2009 |
Establishing the effects of mesoporous silica nanoparticle properties on in vivo disposition using imaging-based pharmacokinetics P Dogra, NL Adolphi, Z Wang, YS Lin, KS Butler, PN Durfee, JG Croissant, ... Nature communications 9 (1), 1-14, 2018 | 74 | 2018 |
Cross-scale, cross-pathway evaluation using an agent-based non-small cell lung cancer model Z Wang, CM Birch, J Sagotsky, TS Deisboeck Bioinformatics 25 (18), 2389-2396, 2009 | 68 | 2009 |
Cancer systems biology E Wang CRC Press, 2010 | 67 | 2010 |
Mathematical modeling in cancer drug discovery Z Wang, TS Deisboeck Drug discovery today 19 (2), 145-150, 2014 | 61 | 2014 |
Mechanistic patient-specific predictive correlation of tumor drug response with microenvironment and perfusion measurements J Pascal, EL Bearer, Z Wang, EJ Koay, SA Curley, V Cristini Proceedings of the National Academy of Sciences 110 (35), 14266-14271, 2013 | 61 | 2013 |
Vegetation indices for mapping canopy foliar nitrogen in a mixed temperate forest Z Wang, T Wang, R Darvishzadeh, AK Skidmore, S Jones, L Suarez, ... Remote sensing 8 (6), 491, 2016 | 54 | 2016 |
Mechanistic modeling identifies drug-uptake history as predictor of tumor drug resistance and nano-carrier-mediated response J Pascal, CE Ashley, Z Wang, TA Brocato, JD Butner, EC Carnes, EJ Koay, ... ACS nano 7 (12), 11174-11182, 2013 | 54 | 2013 |
Applicability of the PROSPECT model for estimating protein and cellulose+ lignin in fresh leaves Z Wang, AK Skidmore, T Wang, R Darvishzadeh, J Hearne Remote Sensing of Environment 168, 205-218, 2015 | 50 | 2015 |
Life Sciences and the web: a new era for collaboration JA Sagotsky, L Zhang, Z Wang, S Martin, TS Deisboeck Molecular systems biology 4 (1), 201, 2008 | 50 | 2008 |
Integrated PK-PD and agent-based modeling in oncology Z Wang, JD Butner, V Cristini, TS Deisboeck Journal of pharmacokinetics and pharmacodynamics 42 (2), 179-189, 2015 | 47 | 2015 |
Mathematical modeling in cancer nanomedicine: a review P Dogra, JD Butner, Y Chuang, S Caserta, S Goel, CJ Brinker, V Cristini, ... Biomedical Microdevices 21 (2), 40, 2019 | 44 | 2019 |
Theory and experimental validation of a spatio-temporal model of chemotherapy transport to enhance tumor cell kill Z Wang, R Kerketta, YL Chuang, P Dogra, JD Butner, TA Brocato, A Day, ... PLoS computational biology 12 (6), e1004969, 2016 | 40 | 2016 |
Canopy foliar nitrogen retrieved from airborne hyperspectral imagery by correcting for canopy structure effects Z Wang, AK Skidmore, T Wang, R Darvishzadeh, U Heiden, M Heurich, ... International journal of applied earth observation and geoinformation 54, 84-94, 2017 | 35 | 2017 |
Leaf nitrogen content indirectly estimated by leaf traits derived from the PROSPECT model Z Wang, AK Skidmore, R Darvishzadeh, U Heiden, M Heurich, T Wang IEEE Journal of selected topics in applied earth observations and remote …, 2015 | 35 | 2015 |