← Leaderboards
David Arthur Knowles
Icahn School Of Medicine At Mount Sinai
$7,552,272
Attributed
$11,198,201
Total exposure
5
Grants
4
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 $3M · FY2020–25$5M$3.8M$2.5M$1.3M$0
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$11,198,201 · 5
By mechanism
U01$5,790,308 · 1
R01$3,110,527 · 1
R56$1,501,550 · 1
R21$699,316 · 1
R03$96,500 · 1
Top collaborators
- Towfique Raj6 shared
- William G Fairbrother2 shared
Most similar at Icahn School Of Medicine At Mount Sinai
Same institution · by research overlap
- Gaurav Pandey$3,570,788
- Eli A Stahl$4,724,401
- Sophia Frangou$5,234,790
- Hirofumi Morishita$17,178,343
- Yael E David-Shternberg$2,442,944
Others in their field
Other Emerging Leaders on “Alzheimer&Apos”
- Lance Allen Johnson · University Of Kentucky$7,508,882
- Hyacinth Idu Hyacinth · University Of Cincinnati$6,781,590
- Yi Su · Weill Medical Coll Of Cornell Univ$6,486,733
- Julia Tcw · Icahn School Of Medicine At Mount Sinai$6,079,215
- Jessica Brooke Langbaum · Banner Health$6,050,741
- Timothy Yikai Huang · Sanford Burnham Prebys Medical Discovery Institute$5,936,362
Research focus
Alzheimer&AposGenesCell TypeGeneticVariantQuantitative Trait LociCodeGenome Wide Association StudyBrainUntranslated RnaMapsCausal VariantStructureGenetic VariantTherapeutic TargetPathogenesisPathway InteractionsMolecularTranscriptome SequencingCell PhysiologyBiologicalTranscriptomicsRna SplicingGenome-Wide
Grant awards (15)
Delineating the network effects of mental disorder-associated variants using convex optimization methods$773,033
R01 · FY2025 · MH · contact PI
Disentangling Tissue and Ome Shared and Private Effects of Exercise$96,500
R03 · FY2025 · AG · contact PI
Learning the Regulatory Code of Alzheimer's Disease Genomes$1,028,077
U01 · FY2024 · AG
Delineating the network effects of mental disorder-associated variants using convex optimization methods$769,173
R01 · FY2024 · MH · contact PI
Learning the Regulatory Code of Alzheimer's Disease Genomes$1,105,599
U01 · FY2023 · AG
Delineating the network effects of mental disorder-associated variants using convex optimization methods$769,173
R01 · FY2023 · MH · contact PI
A CRISPR/Cas13 approach for identifying individual transcript isoform function in cancer$346,126
R21 · FY2023 · CA · contact PI
Learning the Regulatory Code of Alzheimer's Disease Genomes$1,133,201
U01 · FY2022 · AG
Delineating the network effects of mental disorder-associated variants using convex optimization methods$799,148
R01 · FY2022 · MH · contact PI
Fine-mapping psychiatricdisease variants that affect post-transcriptional gene regulation$729,438
R56 · FY2022 · MH · contact PI
A CRISPR/Cas13 approach for identifying individual transcript isoform function in cancer$353,190
R21 · FY2022 · CA · contact PI
Learning the Regulatory Code of Alzheimer's Disease Genomes$1,094,724
U01 · FY2021 · AG
Fine-mapping psychiatric disease variants that affect post-transcriptional gene regulation$772,112
R56 · FY2021 · MH · contact PI
Learning the Regulatory Code of Alzheimer's Disease Genomes$289,006
U01 · FY2021 · AG
Learning the Regulatory Code of Alzheimer's Disease Genomes$1,139,701
U01 · FY2020 · AG