← Leaderboards
Patricia Conrod
University Of Vermont & St Agric College
$1,683,740
Attributed
$3,367,480
Total exposure
1
Grants
0
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 $716.4K · FY2018–22$1M$750K$500K$250K$0
'18
'19
'20
'21
'22
Funding mix
By agency
NIH$3,367,480 · 1
By mechanism
R01$3,367,480 · 1
Top collaborators
- Hugh P Garavan6 shared
Most similar at University Of Vermont & St Agric College
Same institution · by research overlap
- Kirsten Johnson Langdon$1,630,672
- Gary S. Stein$24,489,599
Others in their field
Other Emerging Leaders on “Country”
- Kimberly Smith · Ppd Development Lp$115,671,664
- Paul F Gallagher · Woods Hole Oceanographic Institution$92,619,872
- Bambra Strokes · Ppd Development Lp$65,000,267
- Julie Ake · National Institute Of Allergy And Infectious Diseases$52,642,120
- Laura Ferrarese · Association Of Universities For Research In Astronomy, Inc.$47,742,424
- Carina Remgsamai-Nhe · Fisher Bioservices, Inc.$44,034,909
Research focus
CountryInstitutionParticipantWorking GroupRestMeta-AnalysisGeneticNeuroimagingReportingSiteSamplingBrainPublishingPharmaceutical PreparationsAddictionData SetBrain ImagingBrain BehaviorAnalytical MethodBiological MarkersAdolescentAbstinenceBig DataComorbidity
Grant awards (6)
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction$659,264
R01 · FY2022 · DA
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction$57,155
R01 · FY2022 · DA
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction$659,264
R01 · FY2021 · DA
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction$659,264
R01 · FY2020 · DA
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction$663,476
R01 · FY2019 · DA
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction$669,057
R01 · FY2018 · DA