← Leaderboards
Ophira Ginsburg
University Of Utah
$1,318,007
Attributed
$3,325,383
Total exposure
1
Grants
0
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 $1.3M · FY2018–20$2M$1.5M$1M$500K$0
'18
'19
'20
Funding mix
By agency
NIH$3,325,383 · 1
By mechanism
U01$3,325,383 · 1
Top collaborators
- Kimberly A Kaphingst5 shared
- Saundra S Buys2 shared
Most similar at University Of Utah
Same institution · by research overlap
- Mary C. Beckerle$16,693,203
- Kathleen H Mooney$23,401,107
- Wendy K Kohlmann$1,590,442
- David K Gaffney$7,144,579
- Theresa Louise Werner$1,091,087
Others in their field
Other Emerging Leaders on “Design”
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- John E West · University Of Texas At Austin$113,883,001
- Peter K Fritschel · California Institute Of Technology$78,820,000
- Kevin Urdahl · Seattle Children'S Hospital$72,239,698
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
Research focus
DesignDistressAdherenceComputerized Medical RecordBaseCancer DiagnosisCancer GeneticsCancer PatientAffectiveCancer RiskCare ProvidersCategoriesCharacteristicsClinicClinical CareClinical Decision SupportClinical InformaticsClinically SignificantCognitiveCancer PreventionCollectionCommunicationComprehensionEffectiveness
Grant awards (5)
Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models$1,040,133
U01 · FY2020 · CA
Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models$160,971
U01 · FY2020 · CA
Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models$56,172
U01 · FY2020 · CA
Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models$1,025,425
U01 · FY2019 · CA
Leveraging an electronic medical record infrastructure to identify primary care patients eligible for genetic testing for hereditary cancer and evaluate novel cancer genetics service delivery models$1,042,682
U01 · FY2018 · CA