GGrantIndex
← Leaderboards

Julie C Baker

Stanford University

$7,086,032
Attributed
$10,718,068
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 $1.1M · FY200525
$2M$1.5M$1M$500K$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$10,718,068 · 7

By mechanism

R01$10,557,468 · 6
R03$160,600 · 1

Top collaborators

Most similar at Stanford University

Same institution · by research overlap

Others in their field

Top investigators on “Genomics

Research focus

GenomicsTissuesUntranslated RegionsXenopusGenomeTechnologyCellsPatternElementsGene Expression RegulationMapsGrantResourcesEmbryonic DevelopmentCell TypeTranscription FactorMediatingEmbryoSignal TransductionEnhancersCostTranscriptRegulatory ElementGene Expression

Grant awards (30)

The role of the endogenous retroviral family, IAP, in placentation.$325,919
R01 · FY2025 · HD · contact PI
The role of the endogenous retroviral family, IAP, in placentation.$322,606
R01 · FY2024 · HD · contact PI
The role of the endogenous retroviral family, IAP, in placentation.$253,040
R01 · FY2023 · HD · contact PI
Molecular images and machine learning to extract placental function from maternal cfDNA$591,753
R01 · FY2022 · HD · contact PI
The role of the endogenous retroviral family, IAP, in placentation.$252,990
R01 · FY2022 · HD · contact PI
Molecular images and machine learning to extract placental function from maternal cfDNA$591,753
R01 · FY2021 · HD · contact PI
Molecular images and machine learning to extract placental function from maternal cfDNA$603,830
R01 · FY2020 · HD · contact PI
Molecular images and machine learning to extract placental function from maternal cfDNA$603,830
R01 · FY2019 · HD · contact PI
Molecular images and machine learning to extract placental function from maternal cfDNA$737,430
R01 · FY2018 · HD · contact PI
Biochemical predictions of regulatory elements and XenMINE for Xenopus$387,236
R01 · FY2017 · HD · contact PI
Biochemical predictions of regulatory elements and XenMINE for Xenopus$443,611
R01 · FY2016 · HD · contact PI
Biochemical predictions of regulatory elements and XenMINE for Xenopus$471,864
R01 · FY2015 · HD · contact PI
Using Embryos to Understand the Chromatin State of Mesoderm Induction$300,974
R01 · FY2015 · GM · contact PI
Biochemical predictions of regulatory elements and XenMINE for Xenopus$477,218
R01 · FY2014 · HD · contact PI
Using Embryos to Understand the Chromatin State of Mesoderm Induction$300,871
R01 · FY2014 · GM · contact PI
Transcriptional Networks Guiding Xenopus Development$296,735
R01 · FY2014 · GM · contact PI
Biochemical predictions of regulatory elements and XenMINE for Xenopus$539,529
R01 · FY2013 · HD · contact PI
Using Embryos to Understand the Chromatin State of Mesoderm Induction$290,245
R01 · FY2013 · GM · contact PI
Transcriptional Networks Guiding Xenopus Development$287,223
R01 · FY2013 · GM · contact PI
Using Embryos to Understand the Chromatin State of Mesoderm Induction$300,676
R01 · FY2012 · GM · contact PI
Transcriptional Networks Guiding Xenopus Development$297,477
R01 · FY2012 · GM · contact PI
Transcriptional Networks Guiding Xenopus Development$288,753
R01 · FY2011 · GM · contact PI
A Functional Screen for Proteins that Alter Cell Fates$338,018
R01 · FY2005 · HD
Target identification &developmental function of Greul1$80,600
R03 · FY2005 · HD
A Functional Screen for Proteins that Alter Cell Fates$40,000
R01 · FY2005 · HD
A Functional Screen for Proteins that Alter Cell Fates$458,018
R01 · FY2004 · HD
Target identification &developmental function of Greul1$80,000
R03 · FY2004 · HD
A Functional Screen for Proteins that Alter Cell Fates$338,018
R01 · FY2003 · HD
A Functional Screen for Proteins that Alter Cell Fates$79,833
R01 · FY2003 · HD
A Functional Screen for Proteins that Alter Cell Fates$338,018
R01 · FY2002 · HD