← Leaderboards
Alicia K Au
University Of Pittsburgh At Pittsburgh
$1,715,557
Attributed
$4,020,704
Total exposure
2
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.
Funding over time
peak $841.4K · FY2018–25$1M$750K$500K$250K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$4,020,704 · 2
By mechanism
R01$3,073,530 · 1
K23$947,174 · 1
Top collaborators
- Robert S. Clark5 shared
- Harry S Hochheiser5 shared
- Christopher Michael Horvat5 shared
Most similar at University Of Pittsburgh At Pittsburgh
Same institution · by research overlap
- Christopher Michael Horvat$1,578,409
- Robert S. Clark$12,893,742
- Patrick M Kochanek$11,866,395
- R Scott Watson$3,739,720
- Joseph A. Carcillo$10,929,314
Others in their field
Other Emerging Leaders on “Monitor”
- Bambra Strokes · Ppd Development Lp$461,655,950
- Kimberly Smith · Ppd Development Lp$116,656,661
- Yunda Huang · Fred Hutchinson Cancer Center$71,488,059
- Marlene Ann Cooper · Harvard University D/B/A Harvard School Of Public Health$71,439,892
- Martha Hering · Westat, Inc.$57,098,843
- Gautam (george) Mitra · Leidos Biomedical Research, Inc.$53,523,213
Research focus
MonitorMorbidity - Disease RateDeliriumEarly DiagnosisEnrollmentLaboratoriesCohortCritical IllnessAcuteDiagnosisElectronic Health RecordEncephalopathiesFunctional StatusEquipment And Supply InventoriesAdultChildhoodBrainBiochemicalBrain InjuriesCaringBiological MarkersDetectionAdmission ActivityNeurologic
Grant awards (10)
Bio-digital Rapid Alert to Identify Neuromorbidity$569,740
R01 · FY2025 · NS
Bio-digital Rapid Alert to Identify Neuromorbidity$604,792
R01 · FY2024 · NS
Bio-digital Rapid Alert to Identify Neuromorbidity$616,964
R01 · FY2023 · NS
Bio-digital Rapid Alert to Identify Neuromorbidity$630,376
R01 · FY2022 · NS
Mixed graphical models for the prediction of neurological morbidity in the PICU$189,803
K23 · FY2022 · NS · contact PI
Bio-digital Rapid Alert to Identify Neuromorbidity$651,658
R01 · FY2021 · NS
Mixed graphical models for the prediction of neurological morbidity in the PICU$189,775
K23 · FY2021 · NS · contact PI
Mixed graphical models for the prediction of neurological morbidity in the PICU$189,644
K23 · FY2020 · NS · contact PI
Mixed graphical models for the prediction of neurological morbidity in the PICU$189,210
K23 · FY2019 · NS · contact PI
Mixed graphical models for the prediction of neurological morbidity in the PICU$188,742
K23 · FY2018 · NS · contact PI