← Leaderboards
Phyllis Mary Thangaraj
Columbia University Health Sciences
$145,420
Attributed
$145,420
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 $50K · FY2018–20$100K$75K$50K$25K$0
'18
'19
'20
Funding mix
By agency
NIH$145,420 · 1
By mechanism
F30$145,420 · 1
Top collaborators
No co-investigators on record.
Most similar at Columbia University Health Sciences
Same institution · by research overlap
- R Graham Barr$40,525,821
- Helen C Turner$5,271,135
- Heidi Schambra$6,750,376
- Mingyao Li$17,764,335
- Nicholas P Tatonetti$8,220,679
Others in their field
Other Emerging Leaders on “Acute”
- Douglas S. Hawkins · Children'S Hosp Of Philadelphia$157,315,120
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$51,003,204
- Julie Ake · National Institute Of Allergy And Infectious Diseases$41,692,120
- Xinhua Li · Nano Terra, Inc.$29,991,620
- Wendy Sammons-Jackson · National Institute Of Allergy And Infectious Diseases$29,269,420
- Evan Z Macosko · Broad Institute, Inc.$27,107,011
Research focus
AcuteAdverse Drug ReactionAlgorithmsAcute StrokeAutomated AnalysisBaseBlood FlowBrainAreaCase ControlCategoriesCause Of DeathCerebrovascular DisordersClassificationCodeCohortCohort StudiesComplexCardiovascular DiseasesDeep LearningDeep Learning AlgorithmDetectionDisabilityDisease Diagnosis
Grant awards (3)
Data-driven subtyping to find patients with drug interactions leading to stroke$45,880
F30 · FY2020 · HL · contact PI
Data-driven subtyping to find patients with drug interactions leading to stroke$50,016
F30 · FY2019 · HL · contact PI
Data-driven subtyping to find patients with drug interactions leading to stroke$49,524
F30 · FY2018 · HL · contact PI