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Murugappan Muthukumar
University Of Massachusetts Amherst
$5,267,795
Attributed
$5,267,795
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 $349.1K · FY2005–22$500K$375K$250K$125K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
Funding mix
By agency
NIH$5,267,795 · 1
By mechanism
R01$5,267,795 · 1
Top collaborators
No co-investigators on record.
Most similar at University Of Massachusetts Amherst
Same institution · by research overlap
- Louis A Carpino$2,352,078
- Luc Rey-Bellet$604,895
- Bruce E Turkington$768,713
- Markos Katsoulakis$1,749,809
- Rafael Antonio Fissore$3,752,211
Others in their field
Top investigators on “Polymers”
- Marc A Hillmyer · University Of Minnesota-Twin Cities$45,350,238
- Michael F Rubner · Massachusetts Institute Of Technology$44,168,921
- Nicholas Hud · Emory University$41,051,104
- Timothy P Lodge · Gordon Research Conferences$40,942,324
- Eric Baer · Case Western Reserve University$37,476,250
- Robert S Langer · Massachusetts Institute Of Technology$29,222,504
Research focus
PolymersTheoriesTechnologyEnzymesBaseLengthNanoporeProteinsGenomePhysicsElectrostaticsElectric FieldCostDesignSolid StateStatistical MechanicsLaboratoriesBehaviorEnvironmentEntropyProtocols DocumentationResearch StudyDna SequenceSpeed (Motion)
Grant awards (19)
Computational Design Engine for Accurate and Efficient Sequencing of DNA and RNA$155,115
R01 · FY2022 · HG · contact PI
Computational Design Engine for Accurate and Efficient Sequencing of DNA and RNA$347,297
R01 · FY2021 · HG · contact PI
Computational Design Engine for Accurate and Efficient Sequencing of DNA and RNA$348,054
R01 · FY2020 · HG · contact PI
Computational Design Engine for Accurate and Efficient Sequencing of DNA and RNA$348,569
R01 · FY2019 · HG · contact PI
Computational Design Engine for Accurate and Efficient Sequencing of DNA and RNA$349,060
R01 · FY2018 · HG · contact PI
Modeling macromolecular transport through protein and solid-state nanopores$218,908
R01 · FY2017 · HG · contact PI
Modeling macromolecular transport through protein and solid-state nanopores$267,214
R01 · FY2016 · HG · contact PI
Modeling macromolecular transport through protein and solid-state nanopores$261,046
R01 · FY2015 · HG · contact PI
Modeling macromolecular transport through protein and solid-state nanopores$262,876
R01 · FY2014 · HG · contact PI
Modeling macromolecular transport through protein and solid-state nanopores$268,717
R01 · FY2013 · HG · contact PI
Modeling Macromolecular Transport for Sequencing Technologies$265,570
R01 · FY2012 · HG · contact PI
Modeling Macromolecular Transport for Sequencing Technologies$265,255
R01 · FY2011 · HG · contact PI
Modeling Macromolecular Transport for Sequencing Technologies$267,586
R01 · FY2010 · HG · contact PI
Modeling Macromolecular Transport through Protein Channels and Nanopores$260,824
R01 · FY2009 · HG · contact PI
Modeling Macromolecular Transport through Protein Channels and Nanopores$260,824
R01 · FY2008 · HG · contact PI
Modeling Macromolecular Transport through Protein Channels and Nanopores$265,875
R01 · FY2007 · HG · contact PI
Modeling Macromolecular Transport through Channels$268,335
R01 · FY2005 · HG
Modeling Macromolecular Transport through Channels$268,335
R01 · FY2004 · HG
Modeling Macromolecular Transport through Channels$318,335
R01 · FY2003 · HG