← Leaderboards
Jennifer Villwock
University Of Kansas Medical Center
$3,041,733
Attributed
$3,041,733
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 $774.6K · FY2022–25$1M$750K$500K$250K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$3,041,733 · 1
By mechanism
R01$3,041,733 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Kansas Medical Center
Same institution · by research overlap
- Tara Lin$2,024,441
- Russell James McCulloh$8,544,384
- Kristine N Williams$12,826,500
- Stephen K Williamson$344,449
- Kamal M Eldeirawi$238,385
Others in their field
Other Rising Stars on “Alzheimer&Apos”
- Kjetil Bjornevik · Harvard University D/B/A Harvard School Of Public Health$3,280,861
- Yanling Wang · Rush University Medical Center$2,986,919
- William G Mantyh · University Of Minnesota$2,961,521
- Allison Mercedes Caban-Holt · University Of Miami School Of Medicine$2,611,182
- Brian Stephen Appleby · Cleveland Clinic Lerner Com-Cwru$2,482,260
- Noah Ray Johnson · University Of Colorado Denver$2,282,487
Research focus
Alzheimer&AposComprehensive Health CareAlzheimerâS Disease BiomarkerCommunitiesBurden Of IllnessAmyloidCognitive TestingBiological MarkersCognitiveBrainCognitionCaregiversCaringAmyloid Beta-42CohortAging PopulationClinically RelevantClinically SignificantBlood SpecimenAlgorithmsClinical Trial EnrollmentCloveComplexCost Effective
Grant awards (4)
Olfactory Phenotypes as Non-Invasive Biomarkers for Alzheimer's Disease: A Machine Learning Approach$742,393
R01 · FY2025 · AG · contact PI
Olfactory Phenotypes as Non-Invasive Biomarkers for Alzheimer's Disease: A Machine Learning Approach$756,254
R01 · FY2024 · AG · contact PI
Olfactory Phenotypes as Non-Invasive Biomarkers for Alzheimer's Disease: A Machine Learning Approach$768,504
R01 · FY2023 · AG · contact PI
Olfactory Phenotypes as Non-Invasive Biomarkers for Alzheimer's Disease: A Machine Learning Approach$774,582
R01 · FY2022 · AG · contact PI