| Identification of type 2 diabetes subgroups through topological analysis of patient similarity L Li, WY Cheng, BS Glicksberg, O Gottesman, R Tamler, R Chen, ... Science translational medicine 7 (311), 311ra174-311ra174, 2015 | 329 | 2015 |
| Association of treatment dose anticoagulation with in-hospital survival among hospitalized patients with COVID-19 I Paranjpe, V Fuster, A Lala, AJ Russak, BS Glicksberg, MA Levin, ... Journal of the American College of Cardiology 76 (1), 122-124, 2020 | 259 | 2020 |
| Artificial intelligence in cardiology KW Johnson, JT Soto, BS Glicksberg, K Shameer, R Miotto, M Ali, ... Journal of the American College of Cardiology 71 (23), 2668-2679, 2018 | 221 | 2018 |
| Machine learning in cardiovascular medicine: are we there yet? K Shameer, KW Johnson, BS Glicksberg, JT Dudley, PP Sengupta Heart 104 (14), 1156-1164, 2018 | 141 | 2018 |
| Translational bioinformatics in the era of real-time biomedical, health care and wellness data streams K Shameer, MA Badgeley, R Miotto, BS Glicksberg, JW Morgan, ... Briefings in bioinformatics 18 (1), 105-124, 2017 | 115 | 2017 |
| Development and clinical application of an integrative genomic approach to personalized cancer therapy AV Uzilov, W Ding, MY Fink, Y Antipin, AS Brohl, C Davis, CY Lau, ... Genome medicine 8 (1), 1-20, 2016 | 72 | 2016 |
| Neurocognitive effects of ketamine in treatment-resistant major depression: association with antidepressant response JW Murrough, LB Wan, B Iacoviello, KA Collins, C Solon, B Glicksberg, ... Psychopharmacology 231 (3), 481-488, 2014 | 67 | 2014 |
| Landscape of conditional eQTL in dorsolateral prefrontal cortex and co-localization with schizophrenia GWAS A Dobbyn, LM Huckins, J Boocock, LG Sloofman, BS Glicksberg, ... The American Journal of Human Genetics 102 (6), 1169-1184, 2018 | 51 | 2018 |
| A call for deep-learning healthcare B Norgeot, BS Glicksberg, AJ Butte Nature medicine 25 (1), 14-15, 2019 | 50 | 2019 |
| EHDViz: clinical dashboard development using open-source technologies MA Badgeley, K Shameer, BS Glicksberg, MS Tomlinson, MA Levin, ... BMJ open 6 (3), 2016 | 50 | 2016 |
| Prevalence and Impact of Myocardial Injury in Patients Hospitalized with COVID-19 Infection A Lala, KW Johnson, JL Januzzi, AJ Russak, I Paranjpe, F Richter, S Zhao, ... Journal of the American College of Cardiology, 2020 | 49 | 2020 |
| Systematic analyses of drugs and disease indications in RepurposeDB reveal pharmacological, biological and epidemiological factors influencing drug repositioning K Shameer, BS Glicksberg, R Hodos, KW Johnson, MA Badgeley, ... Briefings in bioinformatics 19 (4), 656-678, 2018 | 47 | 2018 |
| Genetic identification of a common collagen disease in puerto ricans via identity-by-descent mapping in a health system GM Belbin, J Odgis, EP Sorokin, MC Yee, S Kohli, BS Glicksberg, ... Elife 6, e25060, 2017 | 40 | 2017 |
| Disease-associated variants in different categories of disease located in distinct regulatory elements M Ma, Y Ru, LS Chuang, NY Hsu, LS Shi, J Hakenberg, WY Cheng, ... BMC genomics 16 (S8), S3, 2015 | 40 | 2015 |
| Enabling precision cardiology through multiscale biology and systems medicine KW Johnson, K Shameer, BS Glicksberg, B Readhead, PP Sengupta, ... JACC: Basic to Translational Science 2 (3), 311-327, 2017 | 36 | 2017 |
| Automated disease cohort selection using word embeddings from Electronic Health Records. BS Glicksberg, R Miotto, KW Johnson, K Shameer, L Li, R Chen, ... PSB, 145-156, 2018 | 35 | 2018 |
| The next generation of precision medicine: observational studies, electronic health records, biobanks and continuous monitoring BS Glicksberg, KW Johnson, JT Dudley Human molecular genetics 27 (R1), R56-R62, 2018 | 26 | 2018 |
| Comparative analyses of population-scale phenomic data in electronic medical records reveal race-specific disease networks BS Glicksberg, L Li, MA Badgeley, K Shameer, R Kosoy, ND Beckmann, ... Bioinformatics 32 (12), i101-i110, 2016 | 26 | 2016 |
| SARS-CoV-2 Viral Load Predicts COVID-19 Mortality E Pujadas, F Chaudhry, R McBride, F Richter, S Zhao, A Wajnberg, ... medRxiv, 2020 | 25 | 2020 |
| Deep learning predicts hip fracture using confounding patient and healthcare variables MA Badgeley, JR Zech, L Oakden-Rayner, BS Glicksberg, M Liu, W Gale, ... NPJ digital medicine 2 (1), 1-10, 2019 | 25 | 2019 |
Joel DudleyInstitute Director and Associate Professor, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
