← Leaderboards
Haribabu Arthanari
Harvard Medical School
$3,796,154
Attributed
$3,796,154
Total exposure
4
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. They are the sole PI on all grants (the two match).
Funding over time
peak $940.4K · FY2010–25$1M$750K$500K$250K$0
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$3,796,154 · 4
By mechanism
R01$2,400,732 · 1
R35$489,500 · 1
K01$455,026 · 1
P01$450,896 · 1
Top collaborators
No co-investigators on record.
Most similar at Harvard Medical School
Same institution · by research overlap
- Gerhard Wagner$49,510,293
- Allison Sara Walker$2,097,777
- Sheida Nabavi$1,065,756
- Joshua James Ziarek$5,354,565
Others in their field
Top investigators on “Structure”
- David Heimbrook · Leidos Biomedical Research, Inc.$475,333,582
- Barton F Haynes · Duke University$444,977,767
- Lawrence Corey · Fred Hutchinson Cancer Center$334,646,086
- Gary D Acton · University Of California-Davis$320,373,312
- Mitchell J Malone · Texas A&M Research Foundation$320,373,312
- Michael David Hughes · Harvard University D/B/A Harvard School Of Public Health$315,257,203
Research focus
StructureNmr SpectroscopyProteinsResolutionInsightSignal TransductionTherapeutic DevelopmentProtein DynamicsSamplingInnovationDesignIsotope LabelingProtein FunctionNuclear Magnetic ResonanceMachine LearningNuclearPhysiologic PulseEnvironmentSpectrum AnalysisCrowdingCell NucleusMissionAutomated AnalysisIsotopes
Grant awards (13)
Empowering NMR Utilization in Mechanistic Biology: Extending Size Limits and Catalyzing Automation$489,500
R35 · FY2025 · GM · contact PI
NMR Core$450,896
P01 · FY2025 · AI · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$464,603
R01 · FY2024 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$445,749
R01 · FY2023 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$445,749
R01 · FY2022 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$15,130
R01 · FY2022 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$445,749
R01 · FY2021 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$75,000
R01 · FY2021 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$13,250
R01 · FY2021 · GM · contact PI
NMR Fingerprinting: Leveraging optimal control pulse design, tailored isotope labeling, and machine learning to study intractable proteins$495,502
R01 · FY2020 · GM · contact PI
Novel targets to regulate NF-kB & SREBP activity: an approach to combat diabetes$151,805
K01 · FY2012 · DK · contact PI
Novel targets to regulate NF-kB & SREBP activity: an approach to combat diabetes$151,805
K01 · FY2011 · DK · contact PI
Novel targets in the regulation of NF-kB and SREBP activity: A two-faceted approa$151,416
K01 · FY2010 · DK · contact PI