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Jennifer M. Rosenbluth
University Of California, San Francisco
$3,109,407
Attributed
$4,012,916
Total exposure
2
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.
Funding over time
peak $1.8M · FY2022–25$2M$1.5M$1M$500K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$4,012,916 · 2
By mechanism
R01$4,012,916 · 2
Top collaborators
- Mark Jesus Magbanua2 shared
- Mahdokht Masaeli2 shared
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Susan Halabi$7,630,539
- Valerie Marie Weaver$26,171,723
- Lawrence Fong$19,816,074
- Teresa N Sparks$2,851,643
- Monica Venere$1,726,450
Others in their field
Other Rising Stars on “Cells”
- Mari Ostendorf · University Of Washington$51,931,230
- Sabrina Paganoni · Massachusetts General Hospital$30,122,905
- Suma Babu · Massachusetts General Hospital$30,122,905
- Supriya Menezes · The Emmes Company, Llc$25,277,032
- Jinsy Andrews · Columbia University Health Sciences$21,294,649
- Michelle Rives · Baylor College Of Medicine$20,650,593
Research focus
CellsExcisionMutationTumorResearch PersonnelMalignant Breast NeoplasmImageMolecularResponseTissuesSingle-Cell Rna SequencingSamplingOrganoidsMalignant - DescriptorComplexCancer PreventionBackCell LineageAtypiaAggressive Breast CancerBrca1 GeneCancer ModelBiopsyBreast Epithelial Cells
Grant awards (6)
In vitro models as a window to learn how to change outcomes in women at high risk of developing breast cancer$1,140,175
R01 · FY2025 · CA · contact PI
Developing liquid biopsy tests for malignant effusions using artificial intelligence-assisted, morphology-based isolation of tumor cells$676,075
R01 · FY2025 · CA
Developing liquid biopsy tests for malignant effusions using artificial intelligence-assisted, morphology-based isolation of tumor cells$679,188
R01 · FY2024 · CA
In vitro models as a window to learn how to change outcomes in women at high risk of developing breast cancer$541,846
R01 · FY2024 · CA · contact PI
In vitro models as a window to learn how to change outcomes in women at high risk of developing breast cancer$532,865
R01 · FY2023 · CA · contact PI
In vitro models as a window to learn how to change outcomes in women at high risk of developing breast cancer$442,767
R01 · FY2022 · CA · contact PI