← Leaderboards
Michael Isaiah Love
Univ Of North Carolina Chapel Hill
$5,023,060
Attributed
$12,794,447
Total exposure
3
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 $2.6M · FY2018–25$5M$3.8M$2.5M$1.3M$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$12,794,447 · 3
By mechanism
UM1$8,244,979 · 1
R01$4,549,468 · 2
Top collaborators
- Robert Patro7 shared
- Karen L Mohlke5 shared
- Jason Louis Stein5 shared
- Hyejung Won5 shared
Most similar at Univ Of North Carolina Chapel Hill
Same institution · by research overlap
- Leigh B Thorne$1,864,369
- Lee M Graves$9,136,757
- Jason Louis Stein$14,331,218
- Corbin D Jones$5,254,232
- Janiel M Shields$1,454,259
Others in their field
Other Emerging Leaders on “Genes”
- Leonard Freedman · Leidos Biomedical Research, Inc.$97,908,773
- Yunda Huang · Fred Hutchinson Cancer Center$51,342,169
- Susan Abushakra · Alzheon, Inc.$47,265,244
- Lynn Briscoe · Leidos Biomedical Research, Inc.$41,311,588
- Mathangi Thiagarajan · Leidos Biomedical Research, Inc.$37,695,154
- Evan Z Macosko · Broad Institute, Inc.$32,734,698
Research focus
GenesExperimental StudyVariantGeneticResearch PersonnelData SetAlgorithmsGenomicsAllelesBiologicalGenetic VariantGene ExpressionGenetic VariationLinkComplexCommunitiesMeasurementCell TypeCellsGenomeBrainAffectDisorder RiskGenome Wide Association Study
Grant awards (17)
Systematic in vivo characterization of disease-associated regulatory variants$1,811,655
UM1 · FY2025 · HG
A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq Data$638,112
R01 · FY2025 · HG · contact PI
Systematic in vivo characterization of disease-associated regulatory variants$1,811,656
UM1 · FY2024 · HG
Systematic in vivo characterization of disease-associated regulatory variants$1,848,628
UM1 · FY2023 · HG
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric Illness$471,846
R01 · FY2023 · MH
Systematic in vivo characterization of disease-associated regulatory variants$1,848,628
UM1 · FY2022 · HG
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric Illness$468,892
R01 · FY2022 · MH
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data$294,981
R01 · FY2022 · HG
Systematic in vivo characterization of disease-associated regulatory variants$924,412
UM1 · FY2021 · HG
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric Illness$471,846
R01 · FY2021 · MH
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data$294,981
R01 · FY2021 · HG
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric Illness$496,679
R01 · FY2020 · MH
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data$293,841
R01 · FY2020 · HG
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric Illness$493,569
R01 · FY2019 · MH
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data$304,592
R01 · FY2019 · HG
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data$1
R01 · FY2019 · HG
A Modular Framework for Accurate, Efficient, and Reproducible Analysis of RNA-Seq Data$320,128
R01 · FY2018 · HG