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Xia Yang

University Of California Los Angeles

$6,466,377
Attributed
$11,475,613
Total exposure
6
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 $2.1M · FY201524
$2.5M$1.9M$1.3M$625K$0
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24

Funding mix

By agency

NIH$11,475,613 · 6

By mechanism

R01$10,638,989 · 4
R21$836,624 · 2

Top collaborators

Most similar at University Of California Los Angeles

Same institution · by research overlap

Others in their field

Top investigators on “Molecular

Research focus

MolecularAffectGenesPathogenesisGenomicsBrainCellsPathway InteractionsCell TypePathologyMetabolismSystems BiologyPlayBaseTranscriptomicsInflammationBrain RegionMetabolicYangPhenotypeCell CommunicationBehaviorInjuryInsight

Grant awards (27)

Spatiotemporal Molecular Substrates of TBI at Single Cell Resolution$525,091
R01 · FY2024 · NS · contact PI
Precision Medicine Approach: Using genomic information to guide TBI treatment$471,651
R01 · FY2024 · NS
Spatiotemporal Molecular Substrates of TBI at Single Cell Resolution$553,041
R01 · FY2023 · NS · contact PI
Precision Medicine Approach: Using genomic information to guide TBI treatment$430,101
R01 · FY2023 · NS
Discriminating hormonal and sex chromosomal origins of sex differences in the septohippocampal circuit$182,333
R21 · FY2023 · MH
Systems genetics dissection of non-alcoholic steatohepatitis$645,684
R01 · FY2022 · DK
Precision Medicine Approach: Using genomic information to guide TBI treatment$569,468
R01 · FY2022 · NS
Spatiotemporal Molecular Substrates of TBI at Single Cell Resolution$564,624
R01 · FY2022 · NS · contact PI
Discriminating hormonal and sex chromosomal origins of sex differences in the septohippocampal circuit$248,000
R21 · FY2022 · MH
Precision Medicine Approach: Using genomic information to guide TBI treatment$106,214
R01 · FY2022 · NS
Discriminating hormonal and sex chromosomal origins of sex differences in the septohippocampal circuit$1
R21 · FY2022 · MH
Systems genetics dissection of non-alcoholic steatohepatitis$645,684
R01 · FY2021 · DK
Spatiotemporal Molecular Substrates of TBI at Single Cell Resolution$576,207
R01 · FY2021 · NS · contact PI
Precision Medicine Approach: Using genomic information to guide TBI treatment$568,052
R01 · FY2021 · NS
Precision Medicine Approach: Using genomic information to guide TBI treatment$106,214
R01 · FY2021 · NS
Systems genetics dissection of non-alcoholic steatohepatitis$645,684
R01 · FY2020 · DK
Precision Medicine Approach: Using genomic information to guide TBI treatment$604,217
R01 · FY2020 · NS
Spatiotemporal Molecular Substrates of TBI at Single Cell Resolution$588,434
R01 · FY2020 · NS · contact PI
Systems genetics dissection of non-alcoholic steatohepatitis$645,684
R01 · FY2019 · DK
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome$342,819
R01 · FY2019 · DK · contact PI
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome$397,636
R01 · FY2018 · DK · contact PI
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome$390,000
R01 · FY2018 · DK · contact PI
Cell-specific novel genomic biomarkers of TBI pathology$183,895
R21 · FY2018 · NS · contact PI
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome$401,655
R01 · FY2017 · DK · contact PI
Cell-specific novel genomic biomarkers of TBI pathology$222,395
R21 · FY2017 · NS · contact PI
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome$438,107
R01 · FY2016 · DK · contact PI
DHA Reverses Gene Network Signatures of Fructose-induced Metabolic Syndrome$422,722
R01 · FY2015 · DK · contact PI