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Brie M Reid
Miriam Hospital
$744,503
Attributed
$744,503
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 $249K · FY2022–25$250K$187.5K$125K$62.5K$0
'22
'23
'24
'25
Funding mix
By agency
NIH$744,503 · 2
By mechanism
R00$490,706 · 1
K99$253,797 · 1
Top collaborators
No co-investigators on record.
Most similar at Miriam Hospital
Same institution · by research overlap
- Emily Panza$826,488
- Alyssa Norris$383,568
Others in their field
Other Rising Stars on “Hepcidin”
- Jason Gardner · University Of Cincinnati$1,711,877
- Joseph D Mancias · Suny College At Potsdam$475,000
- Seth Armah · University Of North Carolina Greensboro$447,165
- Meagan Amelia Barry · Rhode Island Hospital$342,746
- David H Gonzalez · University Of California Los Angeles$195,092
- Xia Xiao · Massachusetts General Hospital$181,464
Research focus
HepcidinHydrocortisoneEarly Life StressFetalAbsorptionHigh RiskAdverse Pregnancy OutcomeBiologicalBiological Adaptation To StressFerritinBirthAffectBlood VolumeBehavioralAnemiaChronicChronic StressCohortC-Reactive ProteinCytokineAnimalsEndowmentDiagnosisHypothalamic Structure
Grant awards (4)
Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure$241,749
R00 · FY2025 · HD · contact PI
Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure$248,957
R00 · FY2024 · HD · contact PI
Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure$126,805
K99 · FY2023 · HD · contact PI
Machine learning methods to assess risk for prenatal and neonatal iron deficiency anemia from maternal stress exposure$126,992
K99 · FY2022 · HD · contact PI