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Katherine W Scangos
University Of California, San Francisco
$600,534
Attributed
$600,534
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 $200.2K · FY2019–22$250K$187.5K$125K$62.5K$0
'19
'20
'21
'22
Funding mix
By agency
NIH$600,534 · 1
By mechanism
K23$600,534 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Scott Charles Baraban$24,650,943
- Virginia Emily Sturm$16,405,627
- Arnold Kriegstein$44,761,461
- Kamalini Gayathree Ranasinghe$3,134,641
- Electron Kebebew$690,672
Others in their field
Other Emerging Leaders on “Data Set”
- Joel A Lipkin · Four Points Technology, Llc$182,936,915
- Terry Drinkwine · Carahsoft Technology Corporation$93,011,563
- Leonard Freedman · Leidos Biomedical Research, Inc.$92,966,200
- April Brinkoetter · Hungry Heart Media, Inc.$59,802,265
- Martha Hering · Westat, Inc.$57,098,843
- Susan Abushakra · Alzheon, Inc.$47,265,244
Research focus
Data SetDepressive SymptomsAdvisory CommitteesAdultAffectAnxiety Spectrum DisordersAtrophicAmygdaloid StructureAutomobile DrivingAntiepileptic AgentsAnxiety DisordersBiological MarkersBiomarker DevelopmentBiometryBrainCareerAttentionComorbidityComplexComputational NeuroscienceComputerized ToolsBaseBeliefElectroencephalography
Grant awards (3)
Distributed networks underlying depression in epilepsy: a computational circuit-based approach to biomarker development$200,178
K23 · FY2022 · NS · contact PI
Distributed networks underlying depression in epilepsy: a computational circuit-based approach to biomarker development$200,178
K23 · FY2020 · NS · contact PI
Distributed networks underlying depression in epilepsy: a computational circuit-based approach to biomarker development$200,178
K23 · FY2019 · NS · contact PI