← Leaderboards
Katelyn Marie Green
University Of Michigan At Ann Arbor
$124,982
Attributed
$124,982
Total exposure
1
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. They are the sole PI on all grants (the two match).
Funding over time
peak $42.7K · FY2017–19$50K$37.5K$25K$12.5K$0
'17
'18
'19
Funding mix
By agency
NIH$124,982 · 1
By mechanism
F31$124,982 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Michigan At Ann Arbor
Same institution · by research overlap
- Peter K Todd$13,268,977
- Arul M Chinnaiyan$35,112,976
- John V Moran$18,547,664
- Sami Barmada$8,649,535
- Jeffrey John Tosoian$1,098,252
Others in their field
Other Emerging Leaders on “Guanosine”
- Steven H Olson · Sanford Burnham Prebys Medical Discovery Institute$3,572,381
- Daniel R Wahl · University Of Michigan At Ann Arbor$3,484,771
- Baoyu Chen · Iowa State University$3,179,557
- Iwei Yeh · University Of California, San Francisco$3,072,504
- Richard W Pierce · Yale University$2,946,244
- Basile Robin Tarchini · Jackson Laboratory$2,630,142
Research focus
GuanosineImpairmentBaseGlycineC9ftd/AlsHuntington DiseaseCellsCircular RnaAlanineComplexCultured CellsDegenerative DisorderC9orf72AffectDipeptidesEventExperimental StudyFluorescence MicroscopyCodon NucleotidesBiological ModelsFxtasGeneticGenetic TranscriptionInduced Pluripotent Stem Cell
Grant awards (3)
Determining the role of RNA-based factors in RAN translation of C9ALS/FTD-associated GGGGCC repeats$42,699
F31 · FY2019 · NS · contact PI
Determining the role of RNA-based factors in RAN translation of C9ALS/FTD-associated GGGGCC repeats$41,809
F31 · FY2018 · NS · contact PI
Determining the role of RNA-based factors in RAN translation of C9ALS/FTD-associated GGGGCC repeats$40,474
F31 · FY2017 · NS · contact PI