← Leaderboards
Jyotishman Pathak
Mayo Clinic Rochester
$11,987,741
Attributed
$22,385,639
Total exposure
10
Grants
8
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $3.4M · FY2013–25$5M$3.8M$2.5M$1.3M$0
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$22,385,639 · 10
By mechanism
R01$19,726,967 · 7
R25$1,642,174 · 2
R41$1,016,498 · 1
Top collaborators
- Joshua C. Denny9 shared
- Christopher G Chute5 shared
- Yuan Luo5 shared
- David W Oslin5 shared
- Amit P Sheth5 shared
- William Karl Thompson5 shared
- Evgenia Giannopoulou4 shared
- Claudia M. Neuhauser4 shared
Most similar at Mayo Clinic Rochester
Same institution · by research overlap
- William W Seeley$26,843,727
- Amy C Degnim$9,208,153
- V. Shane Pankratz$4,461,337
- Hilal Maradit Kremers$11,722,206
- Myung Soo Park$5,027,387
Others in their field
Top investigators on “Base”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- David Heimbrook · Leidos Biomedical Research, Inc.$613,567,095
- David Divins · Consortium For Ocean Leadership, Inc$609,772,544
- Larry Arthur$521,411,998
- Leonard Freedman · Leidos Biomedical Research, Inc.$515,995,429
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$507,042,060
Research focus
BaseNatural Language ProcessingElectronic Health RecordClinical DataTextFundingLinkSiteData SetBig DataCohortClinicAlgorithmsCommunitiesComplexInformaticsMental DisordersNew York CityResourcesHealthcareHealth SystemStructureUnited States National Institutes Of HealthData Integration
Grant awards (47)
Using Multimodal Clinical and SDOH Data to Develop Risk Models for Predicting Severe Maternal Morbidity$684,290
R01 · FY2025 · HD · contact PI
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.$669,151
R01 · FY2024 · MH · contact PI
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.$680,497
R01 · FY2023 · MH · contact PI
4/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders$408,726
R01 · FY2023 · MH · contact PI
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.$693,707
R01 · FY2022 · MH · contact PI
Predicting Self-Harm, Suicide Attempt, and Suicidal Death using Longitudinal EHR, Claims and Mortality Data$621,935
R01 · FY2022 · MH · contact PI
Risk modeling and shared decision making for postpartum depression$434,262
R41 · FY2022 · MH · contact PI
4/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders$408,726
R01 · FY2022 · MH · contact PI
Bioethical Considerations for Building, Evaluating, and Implementing Artificial Intelligence in Perinatal Mood and Anxiety Disorders$137,274
R41 · FY2022 · MH · contact PI
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.$707,472
R01 · FY2021 · MH · contact PI
Predicting Self-Harm, Suicide Attempt, and Suicidal Death using Longitudinal EHR, Claims and Mortality Data$686,186
R01 · FY2021 · MH · contact PI
Risk modeling and shared decision making for postpartum depression$444,962
R41 · FY2021 · MH · contact PI
4/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders$408,726
R01 · FY2021 · MH · contact PI
Linking VA and non-VA data to study the risk of suicide in chronic pain patients.$808,310
R01 · FY2020 · MH · contact PI
Predicting Self-Harm, Suicide Attempt, and Suicidal Death using Longitudinal EHR, Claims and Mortality Data$749,141
R01 · FY2020 · MH · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$706,851
R01 · FY2020 · GM · contact PI
Using claims data to study the association between Alzheimer's disease and suicidal behaviors$423,586
R01 · FY2020 · MH · contact PI
4/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders$408,726
R01 · FY2020 · MH · contact PI
City Tech-WCM Big Data Training Program in Biomedical Informatics$289,296
R25 · FY2020 · MD
Predicting Self-Harm, Suicide Attempt, and Suicidal Death using Longitudinal EHR, Claims and Mortality Data$779,940
R01 · FY2019 · MH · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$706,851
R01 · FY2019 · GM · contact PI
4/4: Leveraging EHR-linked biobanks for deep phenotyping, polygenic risk score modeling, and outcomes analysis in psychiatric disorders$408,726
R01 · FY2019 · MH · contact PI
City Tech-WCM Big Data Training Program in Biomedical Informatics$302,373
R25 · FY2019 · MD
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$706,851
R01 · FY2018 · GM · contact PI
Modeling Social Behavior for Healthcare Utilization in Depression$463,936
R01 · FY2018 · MH · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$429,621
R01 · FY2018 · GM · contact PI
City Tech-WCM Big Data Training Program in Biomedical Informatics$303,289
R25 · FY2018 · MD
Modeling Social Behavior for Healthcare Utilization in Depression$149,059
R01 · FY2018 · MH · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$745,771
R01 · FY2017 · GM · contact PI
Informatics Tools for Pharmacogenomic Discovery using Practice-based Data$600,474
R01 · FY2017 · GM
Modeling Social Behavior for Healthcare Utilization in Depression$458,020
R01 · FY2017 · MH · contact PI
City Tech-WCM Big Data Training Program in Biomedical Informatics$224,607
R25 · FY2017 · MD
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$589,114
R01 · FY2016 · GM · contact PI
Informatics Tools for Pharmacogenomic Discovery using Practice-based Data$536,892
R01 · FY2016 · GM
Modeling Social Behavior for Healthcare Utilization in Depression$475,163
R01 · FY2016 · MH · contact PI
Big Data Coursework for Computational Medicine$150,010
R25 · FY2016 · EB · contact PI
Big Data Coursework for Computational Medicine$68,279
R25 · FY2016 · EB · contact PI
Informatics Tools for Pharmacogenomic Discovery using Practice-based Data$598,996
R01 · FY2015 · GM
Modeling Social Behavior for Healthcare Utilization in Depression$505,602
R01 · FY2015 · MH · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$373,931
R01 · FY2015 · GM · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$295,539
R01 · FY2015 · GM · contact PI
Big Data Coursework for Computational Medicine$128,308
R25 · FY2015 · EB · contact PI
Big Data Coursework for Computational Medicine$22,575
R25 · FY2015 · EB · contact PI
Informatics Tools for Pharmacogenomic Discovery using Practice-based Data$648,591
R01 · FY2014 · GM
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$576,177
R01 · FY2014 · GM · contact PI
Big Data Coursework for Computational Medicine$153,437
R25 · FY2014 · EB · contact PI
National Infrastructure for Standardized and Portable EHR Phenotyping Algorithms$611,683
R01 · FY2013 · GM · contact PI