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Hongkai Ji

Johns Hopkins University

$8,062,987
Attributed
$10,168,941
Total exposure
6
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 $1.2M · FY201225
$2M$1.5M$1M$500K$0
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$10,168,941 · 6

By mechanism

R01$7,010,010 · 5
U01$3,158,931 · 1

Top collaborators

Most similar at Johns Hopkins University

Same institution · by research overlap

Others in their field

Top investigators on “Technology

Research focus

TechnologySamplingBiologicalMapsProgramsGenesData AnalysesData SetFunctional GenomicsComputerized ToolsGene Expression RegulationNovel StrategiesStatistical MethodsGene ExpressionHuman DiseaseAnalytical MethodScientistComputer FrameworkSoftware ToolsResearch PersonnelProteinsDatabasesGenomeRegulator Genes

Grant awards (22)

Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth Cohort$761,886
U01 · FY2025 · ES
Analytical Infrastructure for Multiple Sample Single Cell Genomic Data$361,069
R01 · FY2025 · HG · contact PI
Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth Cohort$782,564
U01 · FY2024 · ES
Analytical Infrastructure for Multiple Sample Single Cell Genomic Data$361,069
R01 · FY2024 · HG · contact PI
Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth Cohort$792,237
U01 · FY2023 · ES
Immune Development Across the Life Course: Integrating Exposures and Multi-Omics in the Boston Birth Cohort$822,244
U01 · FY2022 · ES
Computational tools for regulome mapping using single-cell genomic data$409,375
R01 · FY2022 · HG · contact PI
Big Data Methods for Decoding Gene Regulation$424,118
R01 · FY2021 · HG · contact PI
Computational tools for regulome mapping using single-cell genomic data$409,375
R01 · FY2021 · HG · contact PI
Big Data Methods for Decoding Gene Regulation$424,066
R01 · FY2020 · HG · contact PI
Computational tools for regulome mapping using single-cell genomic data$409,375
R01 · FY2020 · HG · contact PI
Big Data Methods for Decoding Gene Regulation$420,826
R01 · FY2019 · HG · contact PI
Computational tools for regulome mapping using single-cell genomic data$409,375
R01 · FY2019 · HG · contact PI
Big Data Methods for Decoding Gene Regulation$431,614
R01 · FY2018 · HG · contact PI
Computational Tools for Mining Large Amounts of ChIP and Gene Expression Data$403,903
R01 · FY2016 · HG · contact PI
Computational Tools for Mining Large Amounts of ChIP and Gene Expression Data$393,819
R01 · FY2015 · HG · contact PI
Computational Tools for Mining Large Amounts of ChIP and Gene Expression Data$395,854
R01 · FY2014 · HG · contact PI
Statistical and Computational Tools for Next-generation ChIP-seq Applications$317,520
R01 · FY2014 · HG · contact PI
Computational Tools for Mining Large Amounts of ChIP and Gene Expression Data$385,770
R01 · FY2013 · HG · contact PI
Statistical and Computational Tools for Next-generation ChIP-seq Applications$309,420
R01 · FY2013 · HG · contact PI
Computational Tools for Mining Large Amounts of ChIP and Gene Expression Data$419,462
R01 · FY2012 · HG · contact PI
Statistical and Computational Tools for Next-generation ChIP-seq Applications$324,000
R01 · FY2012 · HG · contact PI