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Manish Saggar
Stanford University
$6,690,896
Attributed
$6,690,896
Total exposure
4
Grants
4
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. They are the sole PI on all grants (the two match).
Funding over time
peak $2.6M · FY2015–25$5M$3.8M$2.5M$1.3M$0
'15
'16
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'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,690,896 · 4
By mechanism
R01$3,344,577 · 1
DP2$2,355,000 · 1
R00$747,000 · 1
K99$244,319 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- Corey J Keller$4,827,571
- Edith V. Sullivan$23,870,931
- Vinod Menon$45,459,463
- Lucina Qazi Uddin$4,330,996
- James D Lock$21,452,769
Others in their field
Top investigators on “Brain”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Michael W Weiner · Northern California Institute Res &Educ$149,959,854
- David A Bennett · Rush University Medical Center$148,375,056
- David Heimbrook · Leidos Biomedical Research, Inc.$145,442,397
- Walter John Curran · Thomas Jefferson University$114,442,832
- Hongkui Zeng · Allen Institute$113,960,965
Research focus
BrainPatient PopulationNeuroimagingSpatiotemporalChildBehavioralValidationTranslationsCommunitiesInstructionAdultParticipantData AnalysesRestComputer FrameworkScanningStructureConnectomePublic HealthNeuropsychologyBaseDimensionsInsightAttention
Grant awards (11)
Examining the hierarchical structure of the RDoC framework using large-scale data-driven computational approaches$650,958
R01 · FY2025 · MH · contact PI
Examining the hierarchical structure of the RDoC framework using large-scale data-driven computational approaches$650,958
R01 · FY2024 · MH · contact PI
Examining the hierarchical structure of the RDoC framework using large-scale data-driven computational approaches$685,958
R01 · FY2023 · MH · contact PI
Examining the hierarchical structure of the RDoC framework using large-scale data-driven computational approaches$678,411
R01 · FY2022 · MH · contact PI
Examining the hierarchical structure of the RDoC framework using large-scale data-driven computational approaches$678,292
R01 · FY2021 · MH · contact PI
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient Populations$249,000
R00 · FY2019 · MH · contact PI
Only time will tell: a computational psychiatry approach to model temporal transitions in brain activity as a lens towards developing better diagnostic nosology for psychiatric illness$2,355,000
DP2 · FY2018 · MH · contact PI
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient Populations$249,000
R00 · FY2018 · MH · contact PI
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient Populations$249,000
R00 · FY2017 · MH · contact PI
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient Populations$121,949
K99 · FY2016 · MH · contact PI
Quantifying the Fluctuations of Intrinsic Brain Activity in Healthy and Patient Populations$122,370
K99 · FY2015 · MH · contact PI