← Leaderboards
Joseph W Kable
New York University
$5,378,943
Attributed
$8,395,325
Total exposure
6
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.
Funding over time
peak $2.2M · FY2005–18$2.5M$1.9M$1.3M$625K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
Funding mix
By agency
NIH$8,395,325 · 6
By mechanism
R01$5,588,814 · 3
RF1$2,012,500 · 1
T32$701,239 · 1
F32$92,772 · 1
Top collaborators
- Caryn Lerman4 shared
- Joshua I Gold3 shared
- David A Wolk1 shared
Most similar at New York University
Same institution · by research overlap
- Kathleen W. Kinnally$3,340,003
- Helen Nissenbaum$3,336,457
- Ted Magder$12,445
- Kanchan Chandra$372,152
- Caitlin Zaloom$121,342
Others in their field
Top investigators on “Functional Magnetic Resonance Imaging”
- Randall J Bateman · Washington University$102,123,979
- Kamil Ugurbil · University Of Minnesota$71,747,097
- Michael W Weiner · Northern California Institute Res &Educ$69,739,525
- Peter Gordon Gillespie · Oregon Health And Science University$67,265,442
- Bruce R Rosen · Massachusetts Institute Of Technology$60,957,661
- Josef Coresh · New York University School Of Medicine$58,618,794
Research focus
Functional Magnetic Resonance ImagingBaseDecision MakingRelating To Nervous SystemBehaviorFutureBehavioralRewardsPrefrontal CortexCognitivePerformanceMediatingSelf-Control As A Personality TraitDiscountingBrainDietBasic ScienceLearningIndividual DifferencesResponseFoundationsDesignCognitive NeuroscienceTraining Programs
Grant awards (18)
Training program in behavioral/cognitive neuroscience$238,080
T32 · FY2018 · MH · contact PI
Learning and decision-making in healthy aging and preclinical Alzheimer's Disease$2,012,500
RF1 · FY2017 · AG · contact PI
Training program in behavioral/cognitive neuroscience$235,488
T32 · FY2017 · MH · contact PI
Training program in behavioral/cognitive neuroscience$227,671
T32 · FY2016 · MH · contact PI
Retraining Neurocognitive Mechanisms of Cancer Risk Behavior (PQ4)$550,518
R01 · FY2015 · CA
Individual, age-dependent differences in ACC-mediated adaptive decision making$690,877
R01 · FY2014 · MH
Retraining Neurocognitive Mechanisms of Cancer Risk Behavior (PQ4)$480,016
R01 · FY2014 · CA
Neural mechanisms underlying changes in preference$314,280
R01 · FY2014 · DA · contact PI
Individual, age-dependent differences in ACC-mediated adaptive decision making$670,295
R01 · FY2013 · MH
Retraining Neurocognitive Mechanisms of Cancer Risk Behavior (PQ4)$465,170
R01 · FY2013 · CA
Neural mechanisms underlying changes in preference$301,709
R01 · FY2013 · DA · contact PI
Individual, age-dependent differences in ACC-mediated adaptive decision making$668,527
R01 · FY2012 · MH
Retraining Neurocognitive Mechanisms of Cancer Risk Behavior (PQ4)$494,862
R01 · FY2012 · CA
Neural mechanisms underlying changes in preference$314,280
R01 · FY2012 · DA · contact PI
Neural mechanisms underlying changes in preference$314,280
R01 · FY2011 · DA · contact PI
Neural mechanisms underlying changes in preference$324,000
R01 · FY2010 · DA · contact PI
Neural mechanisms of temporal discounting in humans$48,796
F32 · FY2006 · MH · contact PI
Neural mechanisms of temporal discounting in humans$43,976
F32 · FY2005 · MH