← Leaderboards
Brian Scott Caffo
Johns Hopkins University
$5,113,824
Attributed
$5,113,824
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 $565.2K · FY2006–24$1M$750K$500K$250K$0
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$5,113,824 · 4
By mechanism
R01$4,072,874 · 2
R25$638,215 · 1
K25$402,735 · 1
Top collaborators
No co-investigators on record.
Most similar at Johns Hopkins University
Same institution · by research overlap
- Jeffrey T. Leek$8,596,644
- Yong Du$6,226,551
- Tianjing Li$8,230,613
- Rafael Angel Irizarry$21,959,132
- Ava Marie Hoffman$2,705,821
Others in their field
Top investigators on “Dimensions”
- Philip M Tuts · Columbia University$85,132,408
- Patrick McGovern · Hungry Heart Media, Inc.$49,306,854
- Kenneth A Bloom · University Of Nebraska-Lincoln$47,980,492
- Julianne L Imperato-McGinley · Weill Medical College Of Cornell Univ$47,874,861
- Christopher Bee · Suny At Stony Brook$41,239,084
- John Hobbs · Suny At Stony Brook$41,239,084
Research focus
DimensionsMedicalData SetDensityCommunitiesNeuroimagingGrantImageTheoriesFunctional Magnetic Resonance ImagingStatistical MethodsStructureBaseDiffusion Magnetic Resonance ImagingSignal TransductionMeasurementBiologicalNew TechnologyData AnalysesResearch StudySeriesResearch PersonnelAbstractingMagnetic Resonance Imaging
Grant awards (17)
Statistical methods for structural and functional integration in multi-modal neuroimaging data$462,470
R01 · FY2024 · EB · contact PI
Statistical methods for structural and functional integration in multi-modal neuroimaging data$477,473
R01 · FY2023 · EB · contact PI
Statistical methods for structural and functional integration in multi-modal neuroimaging data$484,432
R01 · FY2022 · EB · contact PI
Statistical methods for structural and functional integration in multi-modal neuroimaging data$505,937
R01 · FY2021 · EB · contact PI
Big Data education for the masses: MOOCs, modules, & intelligent tutoring systems$209,444
R25 · FY2016 · EB · contact PI
Statistical methods for large n and p problems$60,420
R01 · FY2016 · EB · contact PI
Statistical methods for large n and p problems$352,470
R01 · FY2015 · EB · contact PI
Big Data education for the masses: MOOCs, modules, & intelligent tutoring systems$212,771
R25 · FY2015 · EB · contact PI
Statistical methods for large n and p problems$342,035
R01 · FY2014 · EB · contact PI
Big Data education for the masses: MOOCs, modules, & intelligent tutoring systems$216,000
R25 · FY2014 · EB · contact PI
Statistical methods for large n and p problems$325,994
R01 · FY2013 · EB · contact PI
Statistical methods for large n and p problems$342,017
R01 · FY2012 · EB · contact PI
Statistical methods for large n and p problems$347,542
R01 · FY2011 · EB · contact PI
Statistical methods for large n and p problems$372,084
R01 · FY2010 · EB · contact PI
A mentored training program in quantitative medical imaging$136,112
K25 · FY2008 · EB · contact PI
A mentored training program in quantitative medical imaging$135,109
K25 · FY2007 · EB · contact PI
A mentored training program in quantitative medical imaging$131,514
K25 · FY2006 · EB · contact PI