← Leaderboards
Ilya Safro
University Of South Carolina At Columbia
$528,885
Attributed
$2,115,541
Total exposure
1
Grants
0
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 $444.1K · FY2021–25$500K$375K$250K$125K$0
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$2,115,541 · 1
By mechanism
R01$2,115,541 · 1
Top collaborators
- Michael Shtutman5 shared
- Shawn Scott Sutton5 shared
- Michael D Wyatt5 shared
Most similar at University Of South Carolina At Columbia
Same institution · by research overlap
- Michael Shtutman$3,559,355
- Shawn Scott Sutton$528,885
- Michael D Wyatt$3,777,677
- Bankole Olatosi$4,728,415
- Eric W Healy$3,838,159
Others in their field
Other Emerging Leaders on “Drug Of Abuse”
- Xinhua Li · Nano Terra, Inc.$32,520,955
- Jeffrey Reich · Sparian Biosciences, Inc.$28,575,028
- Eve Jelstrom · The Emmes Company, Llc$25,916,181
- Debra Vavreck · Booz Allen Hamilton$21,090,589
- Emmanuel Aja Oga · Research Triangle Institute$16,442,002
- Andrew S Huhn · Johns Hopkins University$15,128,849
Research focus
Drug Of AbuseDrug CombinationsAccidentsDrug ModelingsAntiretroviral TherapyAlgorithmsAmphetaminesAcquired Immunodeficiency SyndromeAnimalsDrug CandidateBiologicalBiomedical ResearchArtificial IntelligenceCaringClinical DevelopmentClinical TrialsCocaineCognitiveCognitive DeficitsComorbidityDimensionsData AnalysesData SetDrug Repurposing
Grant awards (5)
Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorder$417,864
R01 · FY2025 · DA
Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorder$417,864
R01 · FY2024 · DA
Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorder$417,864
R01 · FY2023 · DA
Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorder$417,864
R01 · FY2022 · DA
Knowledge discovery and machine learning to elucidate the mechanisms of HIV activity and interaction with substance use disorder$444,085
R01 · FY2021 · DA