← Leaderboards
Moises Exposito-Alonso
Carnegie Institution Of Washington, D.C.
$2,016,550
Attributed
$2,016,550
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 $403.8K · FY2020–24$500K$375K$250K$125K$0
'20
'21
'22
'23
'24
Funding mix
By agency
NIH$2,016,550 · 1
By mechanism
DP5$2,016,550 · 1
Top collaborators
No co-investigators on record.
Most similar at Carnegie Institution Of Washington, D.C.
Same institution · by research overlap
- Edward G Ruby$15,790,518
- Joseph G. Gall$8,402,645
- Zhiyong Wang$9,015,277
Others in their field
Other Emerging Leaders on “Disease Susceptibility”
- Leonard Freedman · Leidos Biomedical Research, Inc.$55,805,014
- Michael Dignam · National Institute Of Allergy And Infectious Diseases$30,845,607
- Paul John Norman · University Of Colorado Denver$12,197,519
- Leonard Freedmand · Leidos Biomedical Research, Inc.$11,639,100
- Federico Cividini · Cardiac Rsk3 Inhibitors, Llc$9,716,114
- Alan James Bridge · European Molecular Biology Laboratory$8,787,716
Research focus
Disease SusceptibilityDisorder RiskDangerousnessAtlasesCrispr/Cas TechnologyAwarenessArabidopsisAllelesBiological ModelsBiologyAwardCareerCcr5 GeneCell Culture TechniquesClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsCollaborative EnvironmentCollectionCommunitiesComplexCore FacilityCountryBudgetsDna Modification Process
Grant awards (5)
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editing$401,250
DP5 · FY2024 · OD · contact PI
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editing$403,825
DP5 · FY2023 · OD · contact PI
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editing$403,825
DP5 · FY2022 · OD · contact PI
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editing$403,825
DP5 · FY2021 · OD · contact PI
Predicting and controlling polygenic health traits using probabilistic models and evolution-inspired gene editing$403,825
DP5 · FY2020 · OD · contact PI