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U.S. Agricultural Research Service

Albany, CA

Compare ↔
$3,691,652
Total funding
6
Grants

Funding over time

peak $852.1K · FY200719
$1M$750K$500K$250K$0
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19

Funding mix

By agency

NIH$3,691,652 · 6

By mechanism

R01$2,573,445 · 2
R21$1,118,207 · 4

Investigators at U.S. Agricultural Research Service

InvestigatorsiAttributed = a PI's even-split share of each grant — a $1M grant with 2 PIs counts $500K each.
Exposure= the full size of every grant they're on ($1M each).

Rising Stars

First grant in the last 5 yrs

Not enough data

Emerging Leaders

6–10 yrs in

Not enough data

Largest grants

Identification of Muscle-Specific Biomarkers of Fatty Acid beta-Oxidation$582,661
R01 · FY2009 · DK
Identification of Muscle-Specific Biomarkers of Fatty Acid beta-Oxidation$269,467
R01 · FY2009 · DK
Identification of Muscle-Specific Biomarkers of Fatty Acid beta-Oxidation$262,561
R01 · FY2010 · DK
Identification of Muscle-Specific Biomarkers of Fatty Acid beta-Oxidation$261,933
R01 · FY2008 · DK
Systems Genetic Studies of TMAO regulation and Atherosclerosis$250,000
R01 · FY2018 · HL
Systems Genetic Studies of TMAO regulation and Atherosclerosis$250,000
R01 · FY2017 · HL
Systems Genetic Studies of TMAO regulation and Atherosclerosis$250,000
R01 · FY2019 · HL
Identification of Muscle-Specific Biomarkers of Fatty Acid beta-Oxidation$225,250
R01 · FY2011 · DK
Identification of Muscle-Specific Biomarkers of Fatty Acid beta-Oxidation$221,573
R01 · FY2012 · DK
Use or Metabolomic Markers of Response to Fish Oil Supplementation to Identify Ef$200,000
R21 · FY2010 · AT
Gene expression and system-based analysis to predict gene-environment interaction$129,186
R21 · FY2012 · HL
Identification of bacterial genes required for transmission of tick-borne pathoge$125,000
R21 · FY2011 · AI
Identification of bacterial genes required for transmission of tick-borne pathoge$125,000
R21 · FY2012 · AI
Gene expression and system-based analysis to predict gene-environment interaction$124,642
R21 · FY2014 · HL
Gene expression and system-based analysis to predict gene-environment interaction$120,129
R21 · FY2013 · HL
Evaluation of resveratrol and curcumin as therapeutics against high-risk leukemia$120,000
R21 · FY2007 · CA
Evaluation of resveratrol and curcumin as therapeutics against high-risk leukemia$100,000
R21 · FY2008 · CA
Use or Metabolomic Markers of Response to Fish Oil Supplementation to Identify Ef$74,250
R21 · FY2011 · AT