← Leaderboards
Nicole Zatorski
Icahn School Of Medicine At Mount Sinai
$182,232
Attributed
$182,232
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 $48.8K · FY2021–24$50K$37.5K$25K$12.5K$0
'21
'22
'23
'24
Funding mix
By agency
NIH$182,232 · 1
By mechanism
F30$182,232 · 1
Top collaborators
No co-investigators on record.
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Alison M Goate$50,419,418
- Ryan Ungaro$1,196,705
- Andrew Kasarskis$1,581,602
- Kirk N Campbell$10,746,650
- Harm Van Bakel$10,134,091
Others in their field
Other Emerging Leaders on “Amino Acid Sequence”
- Alan James Bridge · European Molecular Biology Laboratory$8,871,376
- Chitra Upadhyay · Icahn School Of Medicine At Mount Sinai$5,213,150
- Rui Kong · Emory University$4,825,382
- Christian Harding · Vaxnewmo, Llc$4,584,476
- Alon Herschhorn · University Of Minnesota$4,348,325
- Norbert Pardi · University Of Pennsylvania$3,953,703
Research focus
Amino Acid SequenceEnvironmentBiochemicalBioinformaticsAdverse ReactionsBiological PhenomenaBiological ProcessBiological SystemsCardiotoxicityCardiovascular AgentsBiologicalCareerCell PhysiologyCellsChemical StructureCollaborationsCostDatabasesDrug ApprovalDrug DevelopmentDrug StructureDrug ToxicityCardiovascular SystemExperimental Study
Grant awards (4)
Compound Cardiovascular Activity Prediction Using Structural and Genomic Features$40,790
F30 · FY2024 · HL · contact PI
Compound Cardiovascular Activity Prediction Using Structural and Genomic Features$46,094
F30 · FY2023 · HL · contact PI
Compound Cardiovascular Activity Prediction Using Structural and Genomic Features$46,592
F30 · FY2022 · HL · contact PI
Compound Cardiovascular Activity Prediction Using Structural and Genomic Features$48,756
F30 · FY2021 · HL · contact PI