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Nur Zeinomar
Rutgers Biomedical And Health Sciences
$599,688
Attributed
$599,688
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 $199.9K · FY2022–24$200K$150K$100K$50K$0
'22
'23
'24
Funding mix
By agency
NIH$599,688 · 1
By mechanism
K22$599,688 · 1
Top collaborators
No co-investigators on record.
Most similar at Rutgers Biomedical And Health Sciences
Same institution · by research overlap
- Shridar Ganesan$8,375,704
- Elisa V Bandera$5,946,911
- Pingping Hou$2,730,524
- Aimee Melissa Beaulieu$4,460,782
- Wadih Arap$12,814,372
Others in their field
Other Rising Stars on “Accounting”
- Daniel Hunter Reirden · Westat, Inc.$15,038,020
- Cathie Snyder · Rho Federal Systems Division, Inc.$13,500,724
- Chris Maxwell · National Institute Of Allergy And Infectious Diseases$12,000,000
- Mariet Allen · Mayo Clinic Jacksonville$9,602,417
- Peter N. Schmidt · Rho Federal Systems Division, Inc.$8,977,742
- Anne L Wiper · The Industrial Commons$4,568,097
Research focus
AccountingClinical CareAfrican AncestryAdvisory CommitteesAustraliaAffectBlack RaceBlack WomenBreastBreast Cancer DiagnosisBreast Cancer Family RegistryBreast Cancer Risk FactorBreast Cancer SurvivalBreast Cancer SurvivorBreast Cancer SurvivorshipCanadaCancer DiagnosisCancer PrognosisCancer RecurrenceCancer SubtypesCancer TherapyCareer DevelopmentCharacteristicsClinical Implementation
Grant awards (3)
Leveraging high-risk populations for precision prevention: A novel approach for improving risk prediction for outcomes after a breast cancer diagnosis$199,896
K22 · FY2024 · CA · contact PI
Leveraging high-risk populations for precision prevention: A novel approach for improving risk prediction for outcomes after a breast cancer diagnosis$199,896
K22 · FY2023 · CA · contact PI
Leveraging high-risk populations for precision prevention: A novel approach for improving risk prediction for outcomes after a breast cancer diagnosis$199,896
K22 · FY2022 · CA · contact PI