← Leaderboards
Yulia Gerasimova
University Of Central Florida
$387,106
Attributed
$969,770
Total exposure
2
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.
Funding over time
peak $205.3K · FY2017–23$250K$187.5K$125K$62.5K$0
'17
'18
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$969,770 · 2
By mechanism
R01$586,677 · 1
R21$383,093 · 1
Top collaborators
- Kyle H Rohde6 shared
- Pedro Eduardo Almeida Silva4 shared
Most similar at University Of Central Florida
Same institution · by research overlap
- Kyle H Rohde$4,255,870
- Pedro Eduardo Almeida Silva$195,559
- Karin Chumbimuni-Torres$680,393
Others in their field
Other Emerging Leaders on “Nucleic Acids”
- Leonard Freedman · Leidos Biomedical Research, Inc.$51,996,524
- Bala Raja · Luminostics, Inc.$28,624,460
- Lynn Briscoe · Leidos Biomedical Research, Inc.$25,343,101
- Greg Witham · Anp Technologies, Inc.$19,727,817
- Dave Beebe · Flambeau Diagnostics Llc$16,670,000
- Robert J Woods · Virginia Polytechnic Institute And State University$12,760,318
Research focus
Nucleic AcidsResourcesDisease OutcomeNanotechnologyPathogenPublic HealthDevicesDiagnosticEffective TherapyMycobacterium TuberculosisCommunicable DiseasesCountryPharmaceutical PreparationsPoint Of CareColorDetectionBacteriaDiagnosisAntibioticsCatalytic DnaMicroscopyMolecularCessation Of LifeSampling
Grant awards (6)
Point-of-care detection of TB and NTM pathogens with Fluorescent Deoxyribozyme Sensors and 3D-printed, battery powered device.$147,383
R01 · FY2023 · AI
Point-of-care detection of TB and NTM pathogens with Fluorescent Deoxyribozyme Sensors and 3D-printed, battery powered device.$147,383
R01 · FY2022 · AI
Point-of-care detection of TB and NTM pathogens with Fluorescent Deoxyribozyme Sensors and 3D-printed, battery powered device.$146,590
R01 · FY2021 · AI
Point-of-care detection of TB and NTM pathogens with Fluorescent Deoxyribozyme Sensors and 3D-printed, battery powered device.$145,321
R01 · FY2020 · AI
Development of a method for visual detection of Mycobacterium tuberculosis complex$177,776
R21 · FY2018 · AI · contact PI
Development of a method for visual detection of Mycobacterium tuberculosis complex$205,317
R21 · FY2017 · AI · contact PI