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Jeanne Casstevens Stachowiak
University Of Texas At Austin
$7,457,338
Attributed
$7,665,550
Total exposure
4
Grants
4
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 $1M · FY2014–25$2M$1.5M$1M$500K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$7,665,550 · 4
By mechanism
R01$3,868,901 · 2
R35$3,380,224 · 1
R21$416,425 · 1
Top collaborators
- Hugh David Smyth2 shared
Most similar at University Of Texas At Austin
Same institution · by research overlap
- Kasey Jill Day$143,605
- Krishnendu Roy$8,368,905
Others in their field
Top investigators on “Membrane”
- Dennis R. Burton · Scripps Research Institute$258,610,184
- Barton F Haynes · Duke University$123,162,119
- Ted Ross · University Of Georgia$71,962,304
- Robert M Stroud · University Of California, San Francisco$63,701,163
- Dennis L. Kasper · Harvard Medical School$58,511,900
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$56,839,058
Research focus
MembraneMissionVesicleDefectSurfaceCellsMolecularPublic HealthClathrinCell PhysiologyHuman DiseaseStructurePressureUnited States National Institutes Of HealthPathogenDisabilityIn VitroProteinsShapesTraffickingEndocytosisMediatingMembrane Protein TrafficTertiary Protein Structure
Grant awards (25)
Protein Networks as Synergistic Drivers of Membrane Remodeling$643,248
R35 · FY2025 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$65,004
R35 · FY2025 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$643,248
R35 · FY2024 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$82,278
R35 · FY2024 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$49,595
R35 · FY2024 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$643,248
R35 · FY2023 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$76,756
R35 · FY2023 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$643,248
R35 · FY2022 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$76,756
R35 · FY2022 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Remodeling$456,843
R35 · FY2021 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Traffic$368,897
R01 · FY2020 · GM · contact PI
Intrinsically disordered proteins as physical drivers of membrane traffic$300,163
R01 · FY2020 · GM · contact PI
Protein Networks as Synergistic Drivers of Membrane Traffic$383,022
R01 · FY2019 · GM · contact PI
Intrinsically disordered proteins as physical drivers of membrane traffic$300,163
R01 · FY2019 · GM · contact PI
Harnessing the gap junction network for direct intracellular delivery of siRNA and chemotherapeutics$188,547
R21 · FY2019 · EB · contact PI
Intrinsically disordered proteins as physical drivers of membrane traffic$160,000
R01 · FY2019 · GM · contact PI
Probing the Energetic Cost of Cargo Encapsulation in Coated Vesicles$304,958
R01 · FY2018 · GM · contact PI
Intrinsically disordered proteins as physical drivers of membrane traffic$300,163
R01 · FY2018 · GM · contact PI
Harnessing the gap junction network for direct intracellular delivery of siRNA and chemotherapeutics$227,878
R21 · FY2018 · EB · contact PI
Probing the Energetic Cost of Cargo Encapsulation in Coated Vesicles$403,509
R01 · FY2017 · GM · contact PI
Intrinsically disordered proteins as physical drivers of membrane traffic$311,319
R01 · FY2017 · GM · contact PI
Probing the Energetic Cost of Cargo Encapsulation in Coated Vesicles$305,640
R01 · FY2016 · GM · contact PI
Probing the Energetic Cost of Cargo Encapsulation in Coated Vesicles$98,125
R01 · FY2016 · GM · contact PI
Probing the Energetic Cost of Cargo Encapsulation in Coated Vesicles$308,239
R01 · FY2015 · GM · contact PI
Probing the Energetic Cost of Cargo Encapsulation in Coated Vesicles$324,703
R01 · FY2014 · GM · contact PI