← Leaderboards
Jeanette E Eckel Passow
Mayo Clinic Rochester
$2,181,111
Attributed
$3,971,866
Total exposure
3
Grants
3
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 $623.1K · FY2013–25$1M$750K$500K$250K$0
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'25
Funding mix
By agency
NIH$3,971,866 · 3
By mechanism
R01$3,581,510 · 2
R21$390,356 · 1
Top collaborators
- W. Oliver Tobin5 shared
- Robert B. Jenkins1 shared
Most similar at Mayo Clinic Rochester
Same institution · by research overlap
- Rosa Rademakers$18,756,090
- Keith A Josephs$19,660,217
- Haidong Dong$5,086,281
- Kejal Kantarci$37,462,455
- Sean Joseph Pittock$1,682,764
Others in their field
Top investigators on “Tumor”
- David Heimbrook · Leidos Biomedical Research, Inc.$636,492,067
- Leonard Freedman · Leidos Biomedical Research, Inc.$360,535,780
- Gregory H Reaman · National Childhood Cancer Foundation$208,276,509
- Richard K. Wilson · Washington University$203,917,615
- Norman Wolmark · Nsabp Foundation, Inc.$177,323,696
- Ronald T Mitsuyasu · University Of California Los Angeles$138,361,819
Research focus
TumorOperative Surgical ProceduresMalignant NeoplasmsCohortSensitivity And SpecificityDiffusePublishingNeoplasm MetastasisAccurate DiagnosisSpecificityGliomaSiteBrainDifferential DiagnosisLesionBrain NeoplasmsMolecular SubtypesCharacteristicsAdultBiopsyCentral Nervous System LymphomaDiagnostic AccuracyDiagnosisDemyelinating Diseases
Grant awards (8)
Using germline and somatic genetics to elucidate glioma risk and improve patient outcomes$484,803
R01 · FY2025 · CA · contact PI
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models$604,387
R01 · FY2024 · NS · contact PI
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models$623,080
R01 · FY2023 · NS · contact PI
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models$623,080
R01 · FY2022 · NS · contact PI
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models$623,080
R01 · FY2021 · NS · contact PI
Diagnosis of indeterminate brain lesions using MRI-based machine learning and polygenic risk models$623,080
R01 · FY2020 · NS · contact PI
Evaluation of Patient-Matched Primary and Metastatic Samples to Identify and Vali$139,529
R21 · FY2014 · CA · contact PI
Evaluation of Patient-Matched Primary and Metastatic Samples to Identify and Vali$250,827
R21 · FY2013 · CA · contact PI