← Leaderboards
Shikhar Uttam
University Of Pittsburgh At Pittsburgh
$1,466,219
Attributed
$2,523,537
Total exposure
2
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 $461.1K · FY2019–25$500K$375K$250K$125K$0
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,523,537 · 2
By mechanism
R01$2,114,637 · 1
R21$408,900 · 1
Top collaborators
- Yang Liu5 shared
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Surinder Kumar Batra$34,830,369
- Olivera J Finn$21,318,142
- Randall Brand$11,652,606
- Raymond A Frizzell$16,068,463
- Lawrence P Kane$11,819,892
Others in their field
Other Emerging Leaders on “Tissues”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Kevin Urdahl · Seattle Children'S Hospital$84,741,409
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$61,115,130
- Leonard Freedman · Leidos Biomedical Research, Inc.$54,559,980
- Sarah Fortune · Harvard School Of Public Health$51,119,645
- Evan Z Macosko · Broad Institute, Inc.$33,867,067
Research focus
Tissues3-DimensionalLesionAnimal ModelMalignant NeoplasmsEvolutionFutureIndividual PatientOpticsTumorPathway InteractionsNanoscaleImageCancer RiskBenignAdenomaClinical ResearchClinical DataClinical CareClinical PracticeColonoscopyBraf GeneBiopsyArchives
Grant awards (7)
Methods for characterizing mechanobiology of the tumor microenvironment landscape$186,873
R21 · FY2025 · CA · contact PI
Methods for characterizing mechanobiology of the tumor microenvironment landscape$222,027
R21 · FY2024 · CA · contact PI
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk$364,730
R01 · FY2023 · CA · contact PI
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk$414,155
R01 · FY2022 · CA
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk$461,118
R01 · FY2021 · CA
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk$437,317
R01 · FY2020 · CA
Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk$437,317
R01 · FY2019 · CA