← Leaderboards
Alexis Battle
Johns Hopkins University
$8,595,511
Attributed
$11,965,537
Total exposure
5
Grants
3
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 $8.4M · FY2016–25$10M$7.5M$5M$2.5M$0
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$27,849,098 · 6
By mechanism
P30$15,883,561 · 1
OT2$3,861,440 · 1
R01$3,166,049 · 2
R35$3,138,915 · 1
U01$1,799,133 · 1
Top collaborators
- Peter M. Abadir4 shared
- Rama Chellappa4 shared
- Jeremy David Walston2 shared
- Roderic Guigo1 shared
- Hae Kyung Im1 shared
- Tuuli Lappalainen1 shared
- Marta Mele1 shared
- Phillip Phan1 shared
Most similar at Johns Hopkins University
Same institution · by research overlap
- Taha E Taha$127,127,060
- Laura A Guay$21,629,124
- Rama Chellappa$3,639,398
- Lisa P Jacobson$80,226,469
- Ava K Bittner$3,245,743
Others in their field
Top investigators on “Genetic”
- Richard A Gibbs · Baylor College Of Medicine$577,061,667
- Eric S Lander · Whitehead Institute For Biomedical Res$560,806,052
- David R. Weir · University Of Michigan At Ann Arbor$322,225,557
- Richard K. Wilson · Washington University$316,685,275
- Lawrence Corey · Fred Hutchinson Cancer Center$312,182,347
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$302,429,647
Research focus
GeneticGenesResourcesGene ExpressionVariantTissuesAffectGenetic VariantUntranslated RnaCommunitiesQuantitative Trait LociComplexStatistical MethodsGenetic VariationBiologicalAdultTranscriptome SequencingComplementHuman DiseaseBasePathway InteractionsCell TypeGenetic RiskPopulation Genetics
Grant awards (20)
Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults$3,947,726
P30 · FY2025 · AG
Boston Birth Cohort - Autism Data Science Initiative (BBC-ADSI)$3,861,440
OT2 · FY2025 · OD
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddisease$627,783
R35 · FY2025 · GM · contact PI
Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults$3,961,814
P30 · FY2024 · AG
Statistical Methods for Characterizing Molecular Mechanisms of Human Tissue Development and Disease$1,799,133
U01 · FY2024 · HG
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddisease$627,783
R35 · FY2024 · GM · contact PI
Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults$3,977,451
P30 · FY2023 · AG
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddisease$627,783
R35 · FY2023 · GM · contact PI
Utilizing Technology and AI Approaches to Facilitate Independence and Resilience in Older Adults$3,996,570
P30 · FY2022 · AG
Modeling the dynamicimpact of rare and common genetic variation on gene expression anddisease$627,783
R35 · FY2022 · GM · contact PI
Modeling the dynamic impact of rare and common genetic variation on gene expression and disease$627,783
R35 · FY2021 · GM · contact PI
3/3 Building integrative CNS networks for genomic analysis of autism$246,222
R01 · FY2020 · MH · contact PI
Methods for analysis of regulatory variation in cellular differentiation$520,253
R01 · FY2019 · GM · contact PI
3/3 Building integrative CNS networks for genomic analysis of autism$244,539
R01 · FY2019 · MH · contact PI
Methods for analysis of regulatory variation in cellular differentiation$543,228
R01 · FY2018 · GM · contact PI
3/3 Building integrative CNS networks for genomic analysis of autism$242,004
R01 · FY2018 · MH · contact PI
Methods for analysis of regulatory variation in cellular differentiation$463,781
R01 · FY2017 · GM · contact PI
3/3 Building integrative CNS networks for genomic analysis of autism$239,543
R01 · FY2017 · MH · contact PI
Methods for analysis of regulatory variation in cellular differentiation$404,036
R01 · FY2016 · GM · contact PI
3/3 Building integrative CNS networks for genomic analysis of autism$262,443
R01 · FY2016 · MH · contact PI