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Charles T Wood
Duke University
$1,325,595
Attributed
$1,554,052
Total exposure
3
Grants
2
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 $860.9K · FY2022–25$1M$750K$500K$250K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$1,554,052 · 3
By mechanism
R21$909,066 · 2
K23$644,986 · 1
Top collaborators
- Jessica G Woo1 shared
Most similar at Duke University
Same institution · by research overlap
- Rowena J Dolor$602,259
- Cathrine Hoyo$22,947,053
- Joy Noel Baumgartner$5,247,122
- Brian W Pence$17,368,007
- William S Jones$4,340,182
Others in their field
Other Rising Stars on “Characteristics”
- Jeffrey Leintz · National Opinion Research Center$40,628,545
- Supriya Menezes · The Emmes Company, Llc$18,394,958
- Eric Anderson · Columbia University Health Sciences$11,474,975
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Jinsy Andrews · Columbia University Health Sciences$11,474,975
- Alanna Maguire · Mayo Clinic Rochester$9,942,431
Research focus
CharacteristicsInfancyEarly ChildhoodWeightChildObesity In ChildrenRisk FactorsHigh RiskObesityLifeLengthGrowthInfantAdolescentObesity PreventionObesity TreatmentMorbidity - Disease RateEnrollmentDesignCessation Of LifeConsumptionCardiometabolic DiseaseBiometryClinical Trials
Grant awards (7)
Evaluating EHR-based Prediction of Obesity using WHO Weight Velocity Standards and Peak BMI$456,914
R21 · FY2025 · HD
AB3: Assessing Better Bottles for Babies$242,846
R21 · FY2025 · HD · contact PI
POWER: Predicting Obesity with Enhanced EHR Resources$161,146
K23 · FY2025 · HD · contact PI
AB3: Assessing Better Bottles for Babies$209,306
R21 · FY2024 · HD · contact PI
POWER: Predicting Obesity with Enhanced EHR Resources$161,370
K23 · FY2024 · HD · contact PI
POWER: Predicting Obesity with Enhanced EHR Resources$161,415
K23 · FY2023 · HD · contact PI
POWER: Predicting Obesity with Enhanced EHR Resources$161,055
K23 · FY2022 · HD · contact PI