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Sally Haskell
Va Connecticut Healthcare System
$0
Attributed
$0
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 $0 · FY2014–23$1$1$1$0$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
VA$0 · 2
By mechanism
I01$0 · 2
Top collaborators
- Cynthia Ann Brandt8 shared
- Shiuh-Wen Luoh5 shared
- Kristin M. Mattocks3 shared
Most similar at Va Connecticut Healthcare System
Same institution · by research overlap
- Alicia Heapy$7,908,824
- William C Becker$13,042,876
- Stephen Waxman$1,065,142
- Robert D Kerns$5,868,212
- Sulayman D Dib-Hajj$1,116,392
Others in their field
Top investigators on “Veterans”
- David R. Weir · University Of Michigan At Ann Arbor$296,295,927
- Charles A Coltman · Southwest Oncology Group$122,561,996
- Jennifer A Pietenpol · Vanderbilt University$60,636,894
- Fred M Gordin · Social And Scientific Systems, Inc.$59,139,975
- Adrian Hernandez · Duke University$50,769,596
- Michael W. Konstan · Case Western Reserve University$48,783,827
Research focus
VeteransHigh RiskProspectiveCohortMilitary PersonnelFollow-UpIncidenceProgramsWomanEnrollmentRisk FactorsPerformanceBreast DensityBreast Cancer Risk FactorAllelesBreast Cancer DetectionAffectEarly DiagnosisEnvironmental ExposureCombatComplementAfrican AmericanCancer RiskClinical Markers
Grant awards (8)
Predicting the Breast Cancer Risk for Women Veterans$0
I01 · FY2023 · VA
Predicting the Breast Cancer Risk for Women Veterans$0
I01 · FY2023 · VA
Predicting the Breast Cancer Risk for Women Veterans$0
I01 · FY2023 · VA
Predicting the Breast Cancer Risk for Women Veterans$0
I01 · FY2020 · VA
Women Veterans Cohort Study 2$0
I01 · FY2019 · VA · contact PI
Predicting the Breast Cancer Risk for Women Veterans$0
I01 · FY2019 · VA
Women Veterans Cohort Study 2$0
I01 · FY2019 · VA · contact PI
Women Veterans Cohort Study 2$0
I01 · FY2014 · VA · contact PI