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Jeanne Shen
Stanford University
$1,848,386
Attributed
$1,848,386
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 $629.6K · FY2023–25$1M$750K$500K$250K$0
'23
'24
'25
Funding mix
By agency
NIH$1,848,386 · 1
By mechanism
R01$1,848,386 · 1
Top collaborators
No co-investigators on record.
Most similar at Stanford University
Same institution · by research overlap
- Michael L Whitfield$14,056,386
- Jerome A Yesavage$8,719,810
- Gregory George Zaharchuk$14,220,326
- Sylvia Katina Plevritis$44,733,712
- Yvonne A. Maldonado$6,555,051
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
CostAdjuvant ChemotherapyAdjuvant TherapyArchitectureAreaBiological MarkersBiomedical Data ScienceCancer BiomarkersCancer EtiologyCancer SurgeryCancer TypeCatalogsCessation Of LifeChemotherapyClinical DataClinical MedicineCohortCollaborationsColon Cancer PatientsColorectal CancerCompanionsComputerized Medical RecordComputer ScienceCost Efficient
Grant awards (3)
Multi-modal machine learning to guide adjuvant therapy in surgically resectable colorectal cancer$624,102
R01 · FY2025 · CA · contact PI
Multi-modal machine learning to guide adjuvant therapy in surgically resectable colorectal cancer$594,649
R01 · FY2024 · CA · contact PI
Multi-modal machine learning to guide adjuvant therapy in surgically resectable colorectal cancer$629,635
R01 · FY2023 · CA · contact PI