← Leaderboards
Christopher McKennan
University Of Pittsburgh At Pittsburgh
$563,705
Attributed
$1,127,409
Total exposure
1
Grants
0
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 $378.3K · FY2023–25$500K$375K$250K$125K$0
'23
'24
'25
Funding mix
By agency
NIH$1,127,409 · 1
By mechanism
R01$1,127,409 · 1
Top collaborators
- Jiebiao Wang3 shared
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Carlos Cruchaga$41,433,350
- Radosveta P Koldamova$12,908,953
- Benjamin L Handen$48,952,794
- Iliya Lefterov$9,615,606
- Panagiotis V Benos$14,018,248
Others in their field
Other Rising Stars on “Cost”
- Katherine M Thibault · Battelle Memorial Institute$134,148,552
- Richard Smith · Medical Device Innovation Consortium$41,401,350
- Thierry Diagana · University Of Texas Med Br Galveston$37,506,320
- Julia Louise Moore Vogel · Scripps Research Institute, The$32,252,685
- Tim A Bertram · Wake Forest University School Of Medicine$30,163,580
- Supriya Menezes · The Emmes Company, Llc$25,277,032
Research focus
CostAccelerationAffectAlzheimer&AposBehaviorBiologyAging PopulationBrain CellBrain RegionBrain TissueCell LineageCellsCell TypeCessation Of LifeChildBrainCohortCommunitiesComplementComplexComputational AlgorithmComputer SoftwareComputing MethodologiesCost Efficient
Grant awards (3)
Statistical methods for population-level cell-type-specific analyses of tissue omics data for Alzheimer's disease$370,759
R01 · FY2025 · AG
Statistical methods for population-level cell-type-specific analyses of tissue omics data for Alzheimer's disease$378,325
R01 · FY2024 · AG
Statistical methods for population-level cell-type-specific analyses of tissue omics data for Alzheimer's disease$378,325
R01 · FY2023 · AG