← Leaderboards
Keaton Karlinsey
University Of Connecticut Sch Of Med/Dnt
$150,324
Attributed
$150,324
Total exposure
1
Grants
1
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 $57.5K · FY2023–25$100K$75K$50K$25K$0
'23
'24
'25
Funding mix
By agency
NIH$150,324 · 1
By mechanism
F30$150,324 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Connecticut Sch Of Med/Dnt
Same institution · by research overlap
- Breno Satler Diniz$7,057,085
- Dianqing Wu$34,657,786
- Linda H Shapiro$8,370,155
- Anthony T. Vella$15,822,694
- Beiyan Zhou$3,332,056
Others in their field
Other Rising Stars on “Affect”
- Daniel Hunter Reirden · Westat, Inc.$15,038,020
- Thomas K Karikari · Wake Forest University Health Sciences$14,340,584
- Xuping Xie · University Of Texas Med Br Galveston$13,737,799
- Brian Todd Schaneberg · Illinois Institute Of Technology$13,469,813
- Benjamin M Greenberg · Ut Southwestern Medical Center$11,474,975
- Eric Anderson · Columbia University Health Sciences$11,474,975
Research focus
AffectAtherosclerosisAlgorithmsBiologyBlood GlucoseBlood Glucose RegulationCardiovascular DiseasesBiologicalCardiovascular Risk FactorCardiovascular SystemCareerCholesterolChronicChronic DiseaseClinical DataClinical Predictive ModelCardiovascular Disorder RiskCohortComputer ModelsConnecticutData SetDesignDiabetes MellitusDifferential Expression
Grant awards (3)
Predicting Cardiovascular Outcomes Using Diabetes-Induced Transcriptomic Networks$57,538
F30 · FY2025 · HL · contact PI
Predicting Cardiovascular Outcomes Using Diabetes-Induced Transcriptomic Networks$47,283
F30 · FY2024 · HL · contact PI
Predicting Cardiovascular Outcomes Using Diabetes-Induced Transcriptomic Networks$45,503
F30 · FY2023 · HL · contact PI