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Allison B Coffin
University Of Maryland College Pk Campus
$2,792,945
Attributed
$2,792,945
Total exposure
6
Grants
5
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 $461.3K · FY2008–25$500K$375K$250K$125K$0
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,792,945 · 6
By mechanism
R01$1,244,038 · 1
R15$515,143 · 1
R03$451,988 · 1
R21$424,888 · 1
F32$104,632 · 1
F31$52,256 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Maryland College Pk Campus
Same institution · by research overlap
- Avis H Cohen$2,264,149
- Catherine Emily Carr$10,483,114
- Michael E Smith$292,768
Others in their field
Top investigators on “Zebrafish”
- Leonard I Zon · Children'S Hospital Boston$58,820,730
- Monte Westerfield · University Of Oregon$50,217,878
- Richard A Gibbs · Baylor College Of Medicine$49,965,365
- Karl Alexander Deisseroth · Stanford University$29,745,200
- William S Talbot · Stanford University$29,496,829
- Robert L Tanguay · Oregon State University$27,361,484
Research focus
ZebrafishHearing ImpairmentPharmaceutical PreparationsLabyrinthLateral LineHair CellsSensory HairSensoryResponseToxic EffectNovel TherapeuticsMolecularIn VivoOtotoxicityHearingCellsBiological ModelsCell DeathDrug DevelopmentNoisePreventInfectionInhibitor/AntagonistOtotoxin
Grant awards (18)
Determining the ototoxic potential of anti-microbial and anti-inflammatory therapeutics using machine learning and in vivo approaches$382,394
R01 · FY2025 · DC · contact PI
Determining the ototoxic potential of COVID-19 therapeutics using machine learning and in vivo approaches$255,266
R01 · FY2024 · DC · contact PI
Determining the ototoxic potential of COVID-19 therapeutics using machine learning and in vivo approaches$138,932
R01 · FY2024 · DC · contact PI
Determining the ototoxic potential of COVID-19 therapeutics using machine learning and in vivo approaches$39,973
R01 · FY2024 · DC · contact PI
Determining the ototoxic potential of COVID-19 therapeutics using machine learning and in vivo approaches$27,156
R01 · FY2024 · DC · contact PI
Determining the ototoxic potential of COVID-19 therapeutics using machine learning and in vivo approaches$400,317
R01 · FY2023 · DC · contact PI
Development of a novel high throughput zebrafish model for the study of noise-induced hearing loss$154,396
R21 · FY2018 · DC · contact PI
Development of a novel high throughput zebrafish model for the study of noise-induced hearing loss$270,492
R21 · FY2017 · DC · contact PI
Characterizing the protective effects of caffeine and other natural products in a$70,298
R15 · FY2015 · DC · contact PI
Characterizing the protective effects of caffeine and other natural products in a$444,845
R15 · FY2014 · DC · contact PI
p53 and aminoglycoside-induced hair cell death in the zebrafish lateral line$143,450
R03 · FY2013 · DC · contact PI
p53 and aminoglycoside-induced hair cell death in the zebrafish lateral line$138,635
R03 · FY2012 · DC · contact PI
p53 and aminoglycoside-induced hair cell death in the zebrafish lateral line$13,903
R03 · FY2012 · DC · contact PI
p53 and aminoglycoside-induced hair cell death in the zebrafish lateral line$156,000
R03 · FY2011 · DC · contact PI
Differences in neomycin and gentamicin toxicity in the zebrafish lateral line$53,354
F32 · FY2009 · DC · contact PI
Differences in neomycin and gentamicin toxicity in the zebrafish lateral line$51,278
F32 · FY2008 · DC · contact PI
Unconventional Myosin Distribution Inner Ear Hair Cells$26,530
F31 · FY2004 · DC
Unconventional Myosin Distribution Inner Ear Hair Cells$25,726
F31 · FY2003 · DC