← Leaderboards
Alan Dennis Stern
Icahn School Of Medicine At Mount Sinai
$97,167
Attributed
$97,167
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 $43.4K · FY2018–20$50K$37.5K$25K$12.5K$0
'18
'19
'20
Funding mix
By agency
NIH$97,167 · 1
By mechanism
F31$97,167 · 1
Top collaborators
No co-investigators on record.
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Emily Bernstein$7,701,150
- Marc R. Birtwistle$12,507,114
- Rene S. Kahn$20,162,720
- Alison M Goate$50,419,418
- Emily Jane Gallagher$3,209,267
Others in their field
Other Emerging Leaders on “Egf Gene”
- Yi Ye · New York University$3,950,748
- Fabrice Dabertrand · University Of Colorado Denver$2,991,380
- Bhuminder Singh · Vanderbilt University Medical Center$2,240,946
- Han Wang · California Institute Of Technology$2,047,705
- Nadejda Mincheva Tsankova · Icahn School Of Medicine At Mount Sinai$2,023,405
- Neil Lin · Harvard University$1,913,845
Research focus
Egf GeneBaseAffectBreast Epithelial CellsBt 474Cancer SubtypesCancer TherapyArchitectureCell Cycle RegulationCell LineCell ProliferationCellsCell TransformationCell TypeClinical SubtypesComputational Network ModelingCell CycleBreast Cancer Cell LineDaughter CellDoseDrug CombinationsDrug ResistanceDrug TargetingExhibits
Grant awards (3)
Reconstructing Kinase Network Dynamics to Predict Stochastic Cell Cycle Fate$10,827
F31 · FY2020 · GM · contact PI
Reconstructing Kinase Network Dynamics to Predict Stochastic Cell Cycle Fate$43,416
F31 · FY2019 · GM · contact PI
Reconstructing Kinase Network Dynamics to Predict Stochastic Cell Cycle Fate$42,924
F31 · FY2018 · GM · contact PI