← Leaderboards
Jinghui Zhang
St. Jude Children'S Research Hospital
$33,381,623
Attributed
$55,258,899
Total exposure
7
Grants
5
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 $10.2M · FY2015–25$20M$15M$10M$5M$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$55,258,899 · 7
By mechanism
U24$40,319,641 · 1
R01$6,247,155 · 2
P30$4,525,476 · 1
P50$3,023,345 · 1
P01$1,143,282 · 2
Top collaborators
- Shawn E Levy11 shared
- Yutaka Yasui5 shared
Most similar at St. Jude Children'S Research Hospital
Same institution · by research overlap
- Charles G. Mullighan$25,123,215
- Richard James Gilbertson$38,555,720
- Mary V. Relling$28,942,987
- Suzanne J Baker$15,879,154
- Charalampos Kalodimos$19,497,370
Others in their field
Top investigators on “Design”
- Lawrence Corey · Fred Hutchinson Cancer Center$736,542,541
- Sonia M Thomas · Research Triangle Institute$700,865,642
- Tracy L Nolen · Research Triangle Institute$474,487,152
- David Heimbrook · Leidos Biomedical Research, Inc.$460,267,569
- Jeffrey P Krischer · University Of South Florida$427,700,530
- David R. Weir · University Of Michigan At Ann Arbor$385,316,144
Research focus
DesignSamplingChildhoodProgramsGenomicsPhenotypeS Research HospitalSaint Jude Children&AposWhole GenomeGenome SequencingGeneticTranscriptome SequencingMalignant Childhood NeoplasmVariantInnovationMolecularMalignant NeoplasmsTumorGenomic DataInvestigationFundingMutationCohortAdult
Grant awards (36)
Core B: Bioinformatics and Biostatistics Core$231,830
P01 · FY2025 · CA · contact PI
Core B: Bioinformatics and Biostatistics Core$220,238
P01 · FY2024 · CA · contact PI
Bioinformatics and Biotechnology Shared Resource Core$917,012
P30 · FY2023 · CA · contact PI
Core B: Bioinformatics and Biostatistics Core$232,519
P01 · FY2023 · CA · contact PI
Bioinformatics and Biotechnology Shared Resource Core$917,012
P30 · FY2022 · CA · contact PI
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric Cancers$552,832
R01 · FY2022 · CA · contact PI
Core B: Bioinformatics and Biostatistics Core$226,865
P01 · FY2022 · CA · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$6,883,364
U24 · FY2021 · HD
Characterizing pediatric genomes through an optimized sequencing approach$1,000,000
U24 · FY2021 · HD
Bioinformatics and Biotechnology Shared Resource Core$886,872
P30 · FY2021 · CA · contact PI
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$628,281
R01 · FY2021 · CA
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric Cancers$564,115
R01 · FY2021 · CA · contact PI
Core B: Bioinformatics and Biostatistics Core$231,830
P01 · FY2021 · CA · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$6,514,436
U24 · FY2020 · HD
Bioinformatics and Biotechnology Shared Resource Core$917,012
P30 · FY2020 · CA · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$829,064
U24 · FY2020 · HD
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$628,281
R01 · FY2020 · CA
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric Cancers$564,115
R01 · FY2020 · CA · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$5,427,005
U24 · FY2019 · HD
Bioinformatics and Biotechnology Shared Resource Core$887,568
P30 · FY2019 · CA · contact PI
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$728,864
R01 · FY2019 · CA
CPML - Core C: Bioinformatics & Biostatistical Core$596,873
P50 · FY2019 · GM · contact PI
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric Cancers$547,191
R01 · FY2019 · CA · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$4,898,000
U24 · FY2018 · HD
Characterizing pediatric genomes through an optimized sequencing approach$865,000
U24 · FY2018 · HD
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$716,706
R01 · FY2018 · CA
CPML - Core C: Bioinformatics & Biostatistical Core$620,755
P50 · FY2018 · GM · contact PI
Discovery of Somatic Noncoding Variants that Serve as Drivers in Pediatric Cancers$583,990
R01 · FY2018 · CA · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$100,000
U24 · FY2018 · HD
Characterizing pediatric genomes through an optimized sequencing approach$4,737,578
U24 · FY2017 · HD
Characterizing pediatric genomes through an optimized sequencing approach$2,765,194
U24 · FY2017 · HD
Late Effects Prediction using Clinical Phenotypes and Whole Genome Sequencing$732,780
R01 · FY2017 · CA
CPML - Core C: Bioinformatics & Biostatistical Core$596,871
P50 · FY2017 · GM · contact PI
Characterizing pediatric genomes through an optimized sequencing approach$6,300,000
U24 · FY2016 · HD
CPML - Core C: Bioinformatics & Biostatistical Core$596,871
P50 · FY2016 · GM · contact PI
CPML - Core C: Bioinformatics & Biostatistical Core$611,975
P50 · FY2015 · GM · contact PI