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Narges Alipanah-Lechner
University Of California, San Francisco
$329,796
Attributed
$329,796
Total exposure
2
Grants
2
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 $200.5K · FY2022–25$250K$187.5K$125K$62.5K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$329,796 · 2
By mechanism
K23$200,502 · 1
F32$129,294 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Carolyn Calfee$18,194,415
- Joanne N. Engel$29,989,228
- Nola M. Hylton$19,153,972
- Matthew Scott Zinter$1,952,286
- Kirsten Bibbins-Domingo$41,983,852
Others in their field
Other Rising Stars on “Precision Medicine”
- Rebecca Montalvan · Westat, Inc.$86,600,000
- Jeffrey Leintz · National Opinion Research Center$40,628,545
- Joan Grand · Mitre Corporation$32,826,287
- Bridget Murphy · Broad Institute, Inc.$23,600,775
- Michelle Rives · Baylor College Of Medicine$20,650,593
- Alanna Maguire · Mayo Clinic Rochester$16,353,346
Research focus
Precision MedicineTrainingLung InjuryPlasma ProteinsPublic HealthTargeted TreatmentInflammationLung DiseasesPhenotypePlasmaProtein BiomarkersBiological MarkersSkillsEnrollmentAcute Respiratory Distress SyndromeCohortInflammatoryInsightMortalityNational Heart, Lung, And Blood InstituteBiologicalCritical IllnessEffective TherapyTreatment Response
Grant awards (3)
Proteomic and metabolomic trajectories of ARDS molecular phenotypes$200,502
K23 · FY2025 · HL · contact PI
Biomarkers and subphenotypes predictive of clinical outcomes in patients with COVID-19 related acute respiratory distress syndrome$46,244
F32 · FY2024 · HL · contact PI
Biomarkers and subphenotypes predictive of clinical outcomes in patients with COVID-19 related acute respiratory distress syndrome$83,050
F32 · FY2022 · HL · contact PI