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Yutaka Yasui

St. Jude Children'S Research Hospital

$5,067,179
Attributed
$11,112,175
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 $2.5M · FY201725
$5M$3.8M$2.5M$1.3M$0
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$11,112,175 · 4

By mechanism

R01$11,112,175 · 4

Most similar at St. Jude Children'S Research Hospital

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Childhood Cancer Survivor

Research focus

Childhood Cancer SurvivorFutureSaint Jude Children&AposS Research HospitalCaringCohortCohort StudiesSurvivorsChronicMalignant NeoplasmsChildPersonalized Risk PredictionAdultMorbidity - Disease RateRisk Prediction ModelRisk PredictionRisk FactorsSurvivorshipDoseProspectiveCessation Of LifePrematureReportingClinical Practice

Grant awards (19)

Patient-Generated Health Data to Predict Childhood Cancer Survivorship Outcomes$1,131,433
R01 · FY2025 · CA
Personalized Risk Prediction to Reduce Cardiovascular Disease in Childhood Cancer Survivors$780,452
R01 · FY2025 · CA
Measuring Lifelong Multimorbidity with Patient Perspectives: Implementing and Visualizing the Cumulative Burden Methodology Across Cohorts$502,584
R01 · FY2025 · CA
Personalized Risk Prediction to Reduce Cardiovascular Disease in Childhood Cancer Survivors$86,073
R01 · FY2025 · CA
Personalized Risk Prediction to Reduce Cardiovascular Disease in Childhood Cancer Survivors$769,340
R01 · FY2024 · CA
Patient-Generated Health Data to Predict Childhood Cancer Survivorship Outcomes$298,816
R01 · FY2024 · CA
Measuring Lifelong Multimorbidity with Patient Perspectives: Implementing and Visualizing the Cumulative Burden Methodology Across Cohorts$98,612
R01 · FY2024 · CA
Research Supplements to Promote Diversity in Health-Related Research: Personalized Risk Prediction to Reduce Cardiovascular Disease in Childhood Cancer Survivors$86,073
R01 · FY2024 · CA
Patient-Generated Health Data to Predict Childhood Cancer Survivorship Outcomes$727,399
R01 · FY2023 · CA
Personalized Risk Prediction to Reduce Cardiovascular Disease in Childhood Cancer Survivors$701,204
R01 · FY2023 · CA
Measuring Lifelong Multimorbidity with Patient Perspectives: Implementing and Visualizing the Cumulative Burden Methodology Across Cohorts$664,318
R01 · FY2023 · CA
Measuring Lifelong Multimorbidity with Patient Perspectives: Implementing and Visualizing the Cumulative Burden Methodology Across Cohorts$577,841
R01 · FY2022 · CA
Personalized Risk Prediction to Reduce Cardiovascular Disease in Childhood Cancer Survivors$510,311
R01 · FY2022 · CA
Patient-Generated Health Data to Predict Childhood Cancer Survivorship Outcomes$742,807
R01 · FY2021 · CA
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$628,281
R01 · FY2021 · CA · contact PI
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$628,281
R01 · FY2020 · CA · contact PI
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$728,864
R01 · FY2019 · CA · contact PI
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$716,706
R01 · FY2018 · CA · contact PI
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$732,780
R01 · FY2017 · CA · contact PI