| A methodology for performing global uncertainty and sensitivity analysis in systems biology S Marino, IB Hogue, CJ Ray, DE Kirschner Journal of theoretical biology 254 (1), 178-196, 2008 | 2594 | 2008 |
| Dynamics of HIV infection of CD4+ T cells AS Perelson, DE Kirschner, R De Boer Mathematical biosciences 114 (1), 81-125, 1993 | 1198 | 1993 |
| Modeling immunotherapy of the tumor–immune interaction D Kirschner, JC Panetta Journal of mathematical biology 37, 235-252, 1998 | 1054 | 1998 |
| Optimal control of the chemotherapy of HIV D Kirschner, S Lenhart, S Serbin Journal of mathematical biology 35, 775-792, 1997 | 645 | 1997 |
| Mathematical approaches for emerging and reemerging infectious diseases: models, methods, and theory C Castillo-Chavez, S Blower, P van den Driessche, D Kirschner, ... Springer Science & Business Media, 2002 | 441 | 2002 |
| Identifying control mechanisms of granuloma formation during M. tuberculosis infection using an agent-based model JL Segovia-Juarez, S Ganguli, D Kirschner Journal of theoretical biology 231 (3), 357-376, 2004 | 381 | 2004 |
| Microenvironments in tuberculous granulomas are delineated by distinct populations of macrophage subsets and expression of nitric oxide synthase and arginase isoforms JT Mattila, OO Ojo, D Kepka-Lenhart, S Marino, JH Kim, SY Eum, LE Via, ... The Journal of Immunology 191 (2), 773-784, 2013 | 368 | 2013 |
| Variability in tuberculosis granuloma T cell responses exists, but a balance of pro-and anti-inflammatory cytokines is associated with sterilization HP Gideon, JY Phuah, AJ Myers, BD Bryson, MA Rodgers, MT Coleman, ... PLoS pathogens 11 (1), e1004603, 2015 | 320 | 2015 |
| Using mathematics to understand HIV immune dynamics D Kirschner Notices of the AMS 43 (2), 191-202, 1996 | 307 | 1996 |
| A model to predict cell-mediated immune regulatory mechanisms during human infection with Mycobacterium tuberculosis JE Wigginton, D Kirschner The Journal of Immunology 166 (3), 1951-1967, 2001 | 298 | 2001 |
| The equilibria that allow bacterial persistence in human hosts MJ Blaser, D Kirschner Nature 449 (7164), 843-849, 2007 | 293 | 2007 |
| A mathematical model of tumor-immune evasion and siRNA treatment JC Arciero, TL Jackson, DE Kirschner Discrete and Continuous Dynamical Systems Series B 4 (1), 39-58, 2004 | 249 | 2004 |
| A model for treatment strategy in the chemotherapy of AIDS D Kirschner, GF Webb Bulletin of Mathematical Biology 58, 367-390, 1996 | 232 | 1996 |
| Dynamic balance of pro‐and anti‐inflammatory signals controls disease and limits pathology JM Cicchese, S Evans, C Hult, LR Joslyn, T Wessler, JA Millar, S Marino, ... Immunological reviews 285 (1), 147-167, 2018 | 220 | 2018 |
| The human immune response to Mycobacterium tuberculosis in lung and lymph node S Marino, DE Kirschner Journal of theoretical biology 227 (4), 463-486, 2004 | 217 | 2004 |
| Macrophage polarization drives granuloma outcome during Mycobacterium tuberculosis infection S Marino, NA Cilfone, JT Mattila, JJ Linderman, JAL Flynn, DE Kirschner Infection and immunity 83 (1), 324-338, 2015 | 199 | 2015 |
| Tumor necrosis factor blockade in chronic murine tuberculosis enhances granulomatous inflammation and disorganizes granulomas in the lungs SD Chakravarty, G Zhu, MC Tsai, VP Mohan, S Marino, DE Kirschner, ... Infection and immunity 76 (3), 916-926, 2008 | 199 | 2008 |
| Multiscale computational modeling reveals a critical role for TNF-α receptor 1 dynamics in tuberculosis granuloma formation M Fallahi-Sichani, M El-Kebir, S Marino, DE Kirschner, JJ Linderman The Journal of Immunology 186 (6), 3472-3483, 2011 | 196 | 2011 |
| Dendritic cell trafficking and antigen presentation in the human immune response to Mycobacterium tuberculosis S Marino, S Pawar, CL Fuller, TA Reinhart, JAL Flynn, DE Kirschner The Journal of Immunology 173 (1), 494-506, 2004 | 194 | 2004 |
| Contribution of CD8+ T cells to control of Mycobacterium tuberculosis infection D Sud, C Bigbee, JAL Flynn, DE Kirschner The Journal of Immunology 176 (7), 4296-4314, 2006 | 188 | 2006 |
