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Keia Sanderson
Univ Of North Carolina Chapel Hill
$601,911
Attributed
$601,911
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 $201.7K · FY2023–25$250K$187.5K$125K$62.5K$0
'23
'24
'25
Funding mix
By agency
NIH$601,911 · 1
By mechanism
K23$601,911 · 1
Top collaborators
No co-investigators on record.
Most similar at Univ Of North Carolina Chapel Hill
Same institution · by research overlap
- Rebecca Fry$32,078,226
- Hudson Santos$9,401,772
- Shabbar I Ranapurwala$5,490,383
- David S Weiss$16,596,967
- Andrew Stephen Bomback$3,235,628
Others in their field
Other Rising Stars on “Albumins”
- Claude Steriade · New York University School Of Medicine$2,221,278
- Mari-Karoliina Winkler · University Of Washington$1,772,161
- Dongwon Lee · Boston Children'S Hospital$1,552,570
- Asher Y. Rosinger · Pennsylvania State University, The$1,387,992
- Taeho Kim · Michigan State University$1,246,187
- Colleen Doyle Cooper · Celdara Medical, Llc$1,228,902
Research focus
AlbuminsAlbuminuriaAngiotensin-Converting Enzyme InhibitorsAwardBiological MarkersBirthBlood PressureBlood Pressure ElevationCareer DevelopmentCessation Of LifeChildChild CareChild HealthChildhoodChild SupportChronic Kidney FailureClinical Decision SupportClinical RiskClinical SciencesCohortCollaborationsComplexConnected HealthAdolescent
Grant awards (3)
Machine Learning Risk Prediction of Kidney Disease After Extremely Preterm Birth$199,450
K23 · FY2025 · DK · contact PI
Machine Learning Risk Prediction of Kidney Disease After Extremely Preterm Birth$200,718
K23 · FY2024 · DK · contact PI
Machine Learning Risk Prediction of Kidney Disease After Extremely Preterm Birth$201,743
K23 · FY2023 · DK · contact PI