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Jun Li
University Of Notre Dame
$1,312,936
Attributed
$3,040,937
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 $811.6K · FY2016–22$1M$750K$500K$250K$0
'16
'17
'18
'19
'20
'21
'22
Funding mix
By agency
NIH$3,040,937 · 3
By mechanism
R01$2,886,437 · 2
R03$154,500 · 1
Top collaborators
- Patricia Louise Clark5 shared
- Scott Emrich5 shared
- Tijana Milenkovic5 shared
- Gregory Louis Timp4 shared
Most similar at University Of Notre Dame
Same institution · by research overlap
- Douglas C Hall$1,840,400
- Thomas D Osullivan$1,877,447
- Gregory L Snider$2,890,661
- Patrick J Fay$4,823,950
- Gregory V Hartland$3,494,929
Others in their field
Top investigators on “Cells”
- Lawrence Corey · Fred Hutchinson Cancer Center$536,344,731
- Barton F Haynes · Duke University$457,457,619
- David Heimbrook · Leidos Biomedical Research, Inc.$454,789,509
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$299,104,942
- Dennis R. Burton · Scripps Research Institute$278,781,854
- Mary M Horowitz · Medical College Of Wisconsin$237,383,608
Research focus
CellsGenesBasePropertyProteinsMapsStatistical MethodsData SetResistanceMessenger RnaSingle Cell AnalysisBiologicalCell TypeMeasurementComputer SoftwareInterestStatistical Data InterpretationBase SequenceCell Culture TechniquesBackCarrier ProteinsAffectCell CommunicationCell Physiology
Grant awards (11)
Molecular Diagnostics using a Nanopore to Analyze Secretions from Single Cells$404,611
R01 · FY2022 · GM
Molecular Diagnostics using a Nanopore to Analyze Secretions from Single Cells$404,611
R01 · FY2021 · GM
Molecular Diagnostics using a Nanopore to Analyze Secretions from Single Cells$404,611
R01 · FY2020 · GM
Molecular Diagnostics using a Nanopore to Analyze Secretions from Single Cells$533,474
R01 · FY2019 · GM
Integrative computational framework for pattern mining in big -omics data: linking synonymous codon usage to protein biogenesis$278,100
R01 · FY2019 · GM
Integrative computational framework for pattern mining in big -omics data: linking synonymous codon usage to protein biogenesis$278,100
R01 · FY2018 · GM
Statistical analysis of single cell RNA-sequencing data: detecting dropouts and removing the cell-cycle effect$77,250
R03 · FY2018 · CA · contact PI
Integrative computational framework for pattern mining in big -omics data: linking synonymous codon usage to protein biogenesis$26,730
R01 · FY2018 · GM
Integrative computational framework for pattern mining in big -omics data: linking synonymous codon usage to protein biogenesis$278,100
R01 · FY2017 · GM
Statistical analysis of single cell RNA-sequencing data: detecting dropouts and removing the cell-cycle effect$77,250
R03 · FY2017 · CA · contact PI
Integrative computational framework for pattern mining in big -omics data: linking synonymous codon usage to protein biogenesis$278,100
R01 · FY2016 · GM