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Ayesha N. Shajahan-Haq
Virginia Polytechnic Inst And St Univ
$990,766
Attributed
$1,981,532
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 $422.8K · FY2016–20$500K$375K$250K$125K$0
'16
'17
'18
'19
'20
Funding mix
By agency
NIH$1,981,532 · 1
By mechanism
R01$1,981,532 · 1
Top collaborators
- William Thomas Baumann5 shared
Most similar at Virginia Polytechnic Inst And St Univ
Same institution · by research overlap
- Jason Jianhua Xuan$1,885,259
- William Thomas Baumann$990,766
Others in their field
Top investigators on “Antiestrogen Therapy”
- Carlos L Arteaga · Vanderbilt University$5,337,645
- Geoffrey L Greene · University Of Chicago$3,841,186
- Hallgeir Rui · Henry M. Jackson Fdn For The Adv Mil/Med$3,418,462
- Neil Mukund Iyengar · Sloan-Kettering Inst Can Research$3,379,446
- Yi Li · Baylor College Of Medicine$3,154,118
- Xiaoting Zhang · University Of Cincinnati$2,848,141
Research focus
Antiestrogen TherapyEffectivenessBiochemicalBreast Cancer CellBaseBreast Cancer TherapyCancer CellCell DeathCell LineCell ProliferationBreast Cancer Cell LineCell SurvivalCell TypeChemokine ReceptorChemotherapyChromatin RemodelingClinically ActionableClinical TrialsCxcr4 GeneDependenceDeprivationDesignCellsEfficacy Testing
Grant awards (5)
Optimizing Targeted Breast Cancer Therapy by Mathematical Modeling and Experimental Studies$382,141
R01 · FY2020 · CA
Optimizing Targeted Breast Cancer Therapy by Mathematical Modeling and Experimental Studies$375,291
R01 · FY2019 · CA
Optimizing Targeted Breast Cancer Therapy by Mathematical Modeling and Experimental Studies$395,906
R01 · FY2018 · CA
Optimizing Targeted Breast Cancer Therapy by Mathematical Modeling and Experimental Studies$405,375
R01 · FY2017 · CA
Optimizing Targeted Breast Cancer Therapy by Mathematical Modeling and Experimental Studies$422,819
R01 · FY2016 · CA