| CD8+ T cells contribute to survival in patients with COVID-19 and hematologic cancer EM Bange, NA Han, P Wileyto, JY Kim, S Gouma, J Robinson, ... Nature medicine 27 (7), 1280-1289, 2021 | 416 | 2021 |
| New-onset IgG autoantibodies in hospitalized patients with COVID-19 SE Chang, A Feng, W Meng, SA Apostolidis, E Mack, M Artandi, L Barman, ... Nature communications 12 (1), 5417, 2021 | 396 | 2021 |
| Deep immune profiling of MIS-C demonstrates marked but transient immune activation compared with adult and pediatric COVID-19 LA Vella, JR Giles, AE Baxter, DA Oldridge, C Diorio, L Kuri-Cervantes, ... Science immunology 6 (57), eabf7570, 2021 | 192 | 2021 |
| A machine learning algorithm to predict severe sepsis and septic shock: development, implementation, and impact on clinical practice HM Giannini, JC Ginestra, C Chivers, M Draugelis, A Hanish, ... Critical care medicine 47 (11), 1485-1492, 2019 | 191 | 2019 |
| Activation of tumor suppressor protein PP2A inhibits KRAS-driven tumor growth J Sangodkar, A Perl, R Tohme, J Kiselar, DB Kastrinsky, N Zaware, ... The Journal of clinical investigation 127 (6), 2081-2090, 2017 | 180 | 2017 |
| Clinician perception of a machine learning–based early warning system designed to predict severe sepsis and septic shock JC Ginestra, HM Giannini, WD Schweickert, L Meadows, MJ Lynch, ... Critical care medicine 47 (11), 1477-1484, 2019 | 128 | 2019 |
| Targeting the FOXO1/KLF6 axis regulates EGFR signaling and treatment response J Sangodkar, NS Dhawan, H Melville, VJ Singh, E Yuan, H Rana, ... The Journal of clinical investigation 122 (7), 2637-2651, 2012 | 97 | 2012 |
| Genetic basis of potential therapeutic strategies for craniosynostosis H Melville, Y Wang, PJ Taub, EW Jabs American journal of medical genetics Part A 152 (12), 3007-3015, 2010 | 76 | 2010 |
| Lung adenocarcinoma: lessons in translation from bench to bedside J Sangodkar, S Katz, H Melville, G Narla Mount Sinai Journal of Medicine: A Journal of Translational and Personalized …, 2010 | 54 | 2010 |
| CD8 T cells compensate for impaired humoral immunity in COVID-19 patients with hematologic cancer EM Bange, NA Han, P Wileyto, JY Kim, S Gouma, J Robinson, ... Research square, 2021 | 48 | 2021 |
| Association of vancomycin plus piperacillin–tazobactam with early changes in creatinine versus cystatin C in critically ill adults: a prospective cohort study TA Miano, S Hennessy, W Yang, TG Dunn, AR Weisman, O Oniyide, ... Intensive Care Medicine 48 (9), 1144-1155, 2022 | 46 | 2022 |
| Signaling through FcγRIIA and the C5a-C5aR pathway mediate platelet hyperactivation in COVID-19 SA Apostolidis, A Sarkar, HM Giannini, RR Goel, D Mathew, A Suzuki, ... Frontiers in immunology 13, 834988, 2022 | 46 | 2022 |
| Stem cells: a new paradigm for disease modeling and developing therapies for age-related macular degeneration H Melville, M Carpiniello, K Hollis, A Staffaroni, N Golestaneh Journal of translational medicine 11, 1-9, 2013 | 37 | 2013 |
| UPenn COVID Processing Unit. Deep immune profiling of MIS-C demonstrates marked but transient immune activation compared to adult and pediatric COVID-19 LA Vella, JR Giles, AE Baxter, DA Oldridge, C Diorio, L Kuri-Cervantes, ... Sci Immunol 6, 57, 2021 | 20 | 2021 |
| A phase I trial of the mTOR inhibitor temsirolimus in combination with capecitabine in patients with advanced malignancies ND Trivedi, S Armstrong, H Wang, M Hartley, J Deeken, A Ruth He, ... Cancer medicine 10 (6), 1944-1954, 2021 | 16 | 2021 |
| A machine learning algorithm to predict severe sepsis and septic shock HM Giannini, JC Ginestra, C Chivers Development, implementation, and impact on clinical practice 2019, 47, 0 | 14 | |
| Circulating LIGHT (TNFSF14) and interleukin-18 levels in sepsis-induced multi-organ injuries HQ Qu, J Snyder, J Connolly, J Glessner, C Kao, P Sleiman, ... Biomedicines 10 (2), 264, 2022 | 12 | 2022 |
| A genome-wide association study of survival in patients with sepsis T Hernandez-Beeftink, B Guillen-Guio, JM Lorenzo-Salazar, A Corrales, ... Critical Care 26 (1), 341, 2022 | 11 | 2022 |
| Development and implementation of a machine-learning algorithm for early identification of sepsis in a multi-hospital academic healthcare system HM Giannini, C Chivers, M Draugelis, A Hanish, B Fuchs, P Donnelly, ... D15. CRITICAL CARE: DO WE HAVE A CRYSTAL BALL? PREDICTING CLINICAL …, 2017 | 11 | 2017 |
| Determinants of quality of life in children with chronic somatic disease: pilot data from the GapS Questionnaire BD Webb, M Barrera, J Beyene, M Carcao, D Daneman, I Elliott, ... Quality of Life Research 22, 339-349, 2013 | 9 | 2013 |
