← Leaderboards
Neal D Goldstein
Drexel University
$607,215
Attributed
$607,215
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $124.7K · FY2019–23$200K$150K$100K$50K$0
'19
'20
'21
'22
'23
Funding mix
By agency
NIH$607,215 · 1
By mechanism
K01$607,215 · 1
Top collaborators
No co-investigators on record.
Most similar at Drexel University
Same institution · by research overlap
- Joseph M Salvino$8,384,376
- Gina S Lovasi$5,409,799
- Lindsay Lawer Shea$12,873,790
- Loni Philip Tabb$1,280,662
- Georgi Medvedev$892,116
Others in their field
Other Emerging Leaders on “Exhibits”
- John E West · University Of Texas At Austin$94,000,000
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$44,740,553
- Evan Z Macosko · Broad Institute, Inc.$27,107,011
- Steven Armen Boyd · Venatorx Pharmaceuticals, Inc.$11,832,144
- Cecile Feldman · Rbhs-School Of Dental Medicine$11,278,781
- Ashok Kumar Krishnamurthy · Univ Of North Carolina Chapel Hill$10,798,287
Research focus
ExhibitsFailureAcquired Immunodeficiency SyndromeAttentionExposure ToAids PreventionAreaBehavioralCensusesCharacteristicsAwardCommunitiesComplementComplexContextual FactorsBehaviorDisorder PreventionDynamic SystemEpidemicEpidemiologic DataEpidemiologic MonitoringEpidemiologyEpidemiology StudyFollow-Up
Grant awards (5)
Towards prevention of HIV among vulnerable and stigmatized populations using geospatial data$115,556
K01 · FY2023 · AI · contact PI
Towards prevention of HIV among vulnerable and stigmatized populations using geospatial data$124,703
K01 · FY2022 · AI · contact PI
Towards prevention of HIV among vulnerable and stigmatized populations using geospatial data$123,823
K01 · FY2021 · AI · contact PI
Towards prevention of HIV among vulnerable and stigmatized populations using geospatial data$118,767
K01 · FY2020 · AI · contact PI
Towards prevention of HIV among vulnerable and stigmatized populations using geospatial data$124,366
K01 · FY2019 · AI · contact PI