← Leaderboards
Jeffrey Matthew Nivala
University Of Washington
$2,153,934
Attributed
$2,472,258
Total exposure
2
Grants
2
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 $1.2M · FY2022–24$2M$1.5M$1M$500K$0
'22
'23
'24
Funding mix
By agency
NIH$2,472,258 · 2
By mechanism
R01$1,835,610 · 1
R56$636,648 · 1
Top collaborators
- Georg Seelig1 shared
Most similar at University Of Washington
Same institution · by research overlap
- Jens Gundlach$9,939,434
- Georg Seelig$6,978,019
- Matthew D. Golub$1,028,925
- Jian J Zhang$2,106,342
- Jens H Gundlach$6,258,581
Others in their field
Other Rising Stars on “Variant”
- Gary Mays · Axle Informatics, Llc$59,047,077
- Maximilian Haeussler · University Of California Santa Cruz$12,592,563
- Daofeng Li · Salk Institute For Biological Studies$9,887,266
- Cathryn Peltz · Henry Ford Health + Michigan State University Health Sciences$7,977,678
- Matthew Morrow Engelhard · Duke University$7,519,665
- Diana Severynse-Stevens · Research Triangle Institute$7,179,028
Research focus
VariantPeptide Sequence DeterminationProteinsTranscriptomeSensorResolutionLengthPhenotypeSignal TransductionTrainingTechnologyDatabasesAmino Acid SequenceBiologicalHuman GenomeInsightNanoporeBioinformaticsBiochemicalDetectorDevicesEngineeringAmino AcidsDark Matter
Grant awards (4)
Integrating the impacts of genetic variation with massively parallel mRNA and protein barcoding$636,648
R56 · FY2024 · HG · contact PI
Long-read single-molecule protein sequencing on an array of unfoldase-coupled nanopores$576,519
R01 · FY2024 · HG · contact PI
Long-read single-molecule protein sequencing on an array of unfoldase-coupled nanopores$611,953
R01 · FY2023 · HG · contact PI
Long-read single-molecule protein sequencing on an array of unfoldase-coupled nanopores$647,138
R01 · FY2022 · HG · contact PI