| Individualizing risk prediction for positive coronavirus disease 2019 testing: results from 11,672 patients L Jehi, X Ji, A Milinovich, S Erzurum, BP Rubin, S Gordon, JB Young, ... Chest 158 (4), 1364-1375, 2020 | 200 | 2020 |
| Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19 L Jehi, X Ji, A Milinovich, S Erzurum, A Merlino, S Gordon, JB Young, ... PloS one 15 (8), e0237419, 2020 | 139 | 2020 |
| Machine learning prediction of response to cardiac resynchronization therapy: improvement versus current guidelines AK Feeny, J Rickard, D Patel, S Toro, KM Trulock, CJ Park, MA LaBarbera, ... Circulation: Arrhythmia and Electrophysiology 12 (7), e007316, 2019 | 97 | 2019 |
| Clinical inertia in type 2 diabetes management: evidence from a large, real-world data set KM Pantalone, AD Misra-Hebert, TM Hobbs, X Ji, SX Kong, A Milinovich, ... Diabetes care 41 (7), e113-e114, 2018 | 90 | 2018 |
| Reasons for discontinuing active surveillance: assessment of 21 centres in 12 countries in the Movember GAP3 Consortium M Van Hemelrijck, X Ji, J Helleman, MJ Roobol, W van der Linden, ... European urology 75 (3), 523-531, 2019 | 71 | 2019 |
| The Movember Foundation's GAP3 cohort: a profile of the largest global prostate cancer active surveillance database to date SM Bruinsma, L Zhang, MJ Roobol, CH Bangma, EW Steyerberg, ... BJU international 121 (5), 737-744, 2018 | 64 | 2018 |
| Impact of the COVID-19 pandemic on healthcare workers’ risk of infection and outcomes in a large, integrated health system AD Misra-Hebert, L Jehi, X Ji, AS Nowacki, S Gordon, P Terpeluk, ... Journal of general internal medicine 35, 3293-3301, 2020 | 58 | 2020 |
| Patient characteristics associated with severe hypoglycemia in a type 2 diabetes cohort in a large, integrated health care system from 2006 to 2015 AD Misra-Hebert, KM Pantalone, X Ji, A Milinovich, T Dey, KM Chagin, ... Diabetes Care 41 (6), 1164-1171, 2018 | 56 | 2018 |
| The probability of A1C goal attainment in patients with uncontrolled type 2 diabetes in a large integrated delivery system: a prediction model KM Pantalone, AD Misra-Hebert, TM Hobbs, SX Kong, X Ji, R Ganguly, ... Diabetes Care 43 (8), 1910-1919, 2020 | 42 | 2020 |
| Antidiabetic treatment patterns and specialty care utilization among patients with type 2 diabetes and cardiovascular disease KM Pantalone, AD Misra-Hebert, TM Hobbs, X Ji, SX Kong, A Milinovich, ... Cardiovascular diabetology 17, 1-10, 2018 | 42 | 2018 |
| Association of the functional medicine model of care with patient-reported health-related quality-of-life outcomes M Beidelschies, M Alejandro-Rodriguez, X Ji, B Lapin, P Hanaway, ... JAMA network open 2 (10), e1914017-e1914017, 2019 | 41 | 2019 |
| Protective heterologous T cell immunity in COVID-19 induced by the trivalent MMR and Tdap vaccine antigens V Mysore, X Cullere, ML Settles, X Ji, MW Kattan, M Desjardins, ... Med 2 (9), 1050-1071. e7, 2021 | 38 | 2021 |
| Individualizing risk prediction for positive coronavirus disease 2019 testing L Jehi, X Ji, A Milinovich, S Erzurum, BP Rubin, S Gordon, JB Young, ... Chest 158 (4), 1364-1375, 2020 | 33 | 2020 |
| Phenotypes and subphenotypes of patients with COVID-19: a latent class modeling analysis X Wang, L Jehi, X Ji, PJ Mazzone Chest 159 (6), 2191-2204, 2021 | 32 | 2021 |
| Differences in biologic utilization and surgery rates in pediatric and adult Crohn’s disease: results from a large electronic medical record-derived cohort JA Kurowski, A Milinovich, X Ji, J Bauman, D Sugano, MW Kattan, ... Inflammatory Bowel Diseases 27 (7), 1035-1044, 2021 | 31 | 2021 |
| Predicting seizure freedom after epilepsy surgery, a challenge in clinical practice CG Gracia, K Chagin, MW Kattan, X Ji, MG Kattan, L Crotty, I Najm, ... Epilepsy & Behavior 95, 124-130, 2019 | 29 | 2019 |
| Testosterone replacement therapy and the risk of adverse cardiovascular outcomes and mortality KM Pantalone, J George, X Ji, MW Kattan, A Milinovich, JM Bauman, ... Basic and clinical andrology 29, 1-8, 2019 | 24 | 2019 |
| Adherence to active surveillance protocols for low-risk prostate cancer: results of the Movember foundation’s global action plan prostate cancer active surveillance initiative AA Kalapara, JFM Verbeek, D Nieboer, M Fahey, V Gnanapragasam, ... European urology oncology 3 (1), 80-91, 2020 | 23 | 2020 |
| Development and validation of a pretreatment nomogram to predict overall survival in gastric cancer E Bando, X Ji, MW Kattan, HS Seo, KY Song, CH Park, M Bencivenga, ... Cancer medicine 9 (16), 5708-5718, 2020 | 21 | 2020 |
| Predicting biopsy outcomes during active surveillance for prostate cancer: external validation of the canary prostate active surveillance study risk calculators in five large … FJH Drost, D Nieboer, TM Morgan, PR Carroll, MJ Roobol, B Trock, ... European urology 76 (5), 693-702, 2019 | 20 | 2019 |
