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Zhen Jane Wang
University Of California, San Francisco
$4,501,373
Attributed
$8,657,385
Total exposure
5
Grants
2
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 $2M · FY2013–25$2M$1.5M$1M$500K$0
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$8,657,385 · 5
By mechanism
R01$8,213,260 · 4
R21$444,125 · 1
Top collaborators
- Peder Eric Zufall Larson9 shared
- Eric Collisson5 shared
- Ajit Harishkumar Goenka5 shared
- Jeremy William Gordon2 shared
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Peder Eric Zufall Larson$7,557,566
- Sabrina Miriam Ronen$18,398,578
- Pavithra Viswanath$6,465,079
- David M Wilson$11,449,852
- Mary Elizabeth Lough$62,468
Others in their field
Top investigators on “Magnetic Resonance Imaging”
- Michael W Weiner · Northern California Institute Res &Educ$151,227,246
- Paul S. Aisen · Cognition Therapeutics, Inc.$114,102,468
- Reisa A. Sperling · Banner Health$112,709,449
- Randall J Bateman · Washington University$108,056,165
- Peter Gordon Gillespie · Oregon Health And Science University$104,808,120
- Joseph E Robertson · Oregon Health & Science University$93,739,249
Research focus
Magnetic Resonance ImagingResponseMetabolicBiological MarkersGlycolysisImageFutureMetabolismDiagnosisMetabolic ImagingExcisionMalignant NeoplasmsPathway InteractionsEvaluationSignal TransductionLinkMotivationKidneyCessation Of LifeInnovationMolecular ImagingMonitorOperative Surgical ProceduresImaging Techniques
Grant awards (21)
Translating Hyperpolarized 13C MRI as a Novel Tool to Predict Treatment Response in Pancreatic Cancer$670,223
R01 · FY2025 · CA
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$634,908
R01 · FY2025 · CA · contact PI
Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy$1
R01 · FY2025 · CA
Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy$702,342
R01 · FY2024 · CA
Translating Hyperpolarized 13C MRI as a Novel Tool to Predict Treatment Response in Pancreatic Cancer$670,223
R01 · FY2024 · CA
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$603,163
R01 · FY2024 · CA · contact PI
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$622,209
R01 · FY2023 · CA · contact PI
Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy$598,284
R01 · FY2023 · CA
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$74,836
R01 · FY2023 · CA · contact PI
Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy$596,548
R01 · FY2022 · CA
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$590,068
R01 · FY2022 · CA · contact PI
Hyperpolarized 13C Metabolic MRI for Noninvasive Monitoring of Kidney Injury$242,250
R21 · FY2022 · DK
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$40,529
R01 · FY2022 · CA · contact PI
Optimizing Pancreatic Cancer Management with Next Generation Imaging and Liquid Biopsy$624,558
R01 · FY2021 · CA
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness$599,430
R01 · FY2021 · CA · contact PI
Hyperpolarized 13C Metabolic MRI for Noninvasive Monitoring of Kidney Injury$201,875
R21 · FY2021 · DK
Hyperpolarized 13C Markers of Diabetic Nephropathy and Treatment Response$237,750
R01 · FY2017 · DK · contact PI
Hyperpolarized 13C Markers of Diabetic Nephropathy and Treatment Response$237,750
R01 · FY2016 · DK · contact PI
Hyperpolarized 13C Markers of Diabetic Nephropathy and Treatment Response$237,750
R01 · FY2015 · DK · contact PI
Hyperpolarized 13C Markers of Diabetic Nephropathy and Treatment Response$237,063
R01 · FY2014 · DK · contact PI
Hyperpolarized 13C Markers of Diabetic Nephropathy and Treatment Response$235,625
R01 · FY2013 · DK · contact PI