← Leaderboards
Arvind Rao
Northwestern University
$2,993,102
Attributed
$6,436,202
Total exposure
4
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 $1.6M · FY2018–25$2M$1.5M$1M$500K$0
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$6,436,202 · 4
By mechanism
R37$3,887,595 · 1
R01$1,052,623 · 1
U01$749,998 · 1
T32$745,986 · 1
Top collaborators
- Sebastian Kurtek8 shared
- Ulysses Gregory John Balis3 shared
- Amy Beth Heimberger3 shared
- Mansoor N Saleh3 shared
- Shahin Sayed3 shared
- Akbar K Waljee3 shared
- Maureen Agnes Sartor2 shared
Most similar at Northwestern University
Same institution · by research overlap
- Justin D. Lathia$12,335,841
- Amy Beth Heimberger$11,078,637
- Tim M Jarsky$2,067,314
- Ilya Ruvinsky$2,235,195
- Bruce Gooch$607,977
Others in their field
Other Emerging Leaders on “Tumor”
- Leonard Freedman · Leidos Biomedical Research, Inc.$360,535,780
- Lynn Briscoe · Leidos Biomedical Research, Inc.$120,794,323
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$105,180,681
- Leonard Freedmand · Leidos Biomedical Research, Inc.$78,762,245
- Connie Suders · Leidos Biomedical Research, Inc.$67,882,919
- Gautam (george) Mitra · Leidos Biomedical Research, Inc.$53,523,213
Research focus
TumorMeasurementGlioblastomaMouse ModelOncologistQuality Of LifeImage AnalysisImageMagnetic Resonance ImagingMonitorDiagnosisPerformanceUniversitiesTreatment PlanningDisease ProgressionEvaluationGliomaHeterogeneityClinical DataIncidenceCollaborationsTreatment StrategyProbabilityMalignant Neoplasms
Grant awards (16)
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa$249,999
U01 · FY2025 · CA
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$565,085
R37 · FY2024 · CA · contact PI
Proteogenomics of Cancer Training Program$370,831
T32 · FY2024 · CA
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa$249,999
U01 · FY2024 · CA
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$604,346
R37 · FY2023 · CA · contact PI
Proteogenomics of Cancer Training Program$375,155
T32 · FY2023 · CA
Stinging the Glioma Immune Landscape$324,017
R01 · FY2023 · NS
Leveraging artificial intelligence/machine learning-based technology to overcome specialized training and technology barriers for the diagnosis and prognostication of colorectal cancer in Africa$250,000
U01 · FY2023 · CA
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$553,851
R37 · FY2022 · CA · contact PI
Stinging the Glioma Immune Landscape$341,138
R01 · FY2022 · NS
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$560,491
R37 · FY2021 · CA · contact PI
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$517,367
R37 · FY2020 · CA · contact PI
Stinging the Glioma Immune Landscape$387,468
R01 · FY2020 · NS
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$496,651
R37 · FY2019 · CA · contact PI
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$554,112
R37 · FY2018 · CA · contact PI
Synthesizing Image-derived Heterogeneity with Genomic measurements for Assessing Disease Aggressiveness in Lower Grade Gliomas$35,692
R37 · FY2018 · CA · contact PI