← Leaderboards
John R. Edwards
Columbia University Health Sciences
$5,139,811
Attributed
$5,570,186
Total exposure
8
Grants
8
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 $563.8K · FY2008–25$1M$750K$500K$250K$0
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$5,570,186 · 8
By mechanism
R01$3,162,351 · 2
R21$1,561,724 · 4
R00$732,060 · 1
K99$114,051 · 1
Top collaborators
- Harrison W Gabel4 shared
Most similar at Columbia University Health Sciences
Same institution · by research overlap
- Carol A Mason$20,575,205
- Carlos Cordon-Cardo$2,798,961
- Boris Reizis$28,563,580
- Andrea Baccarelli$24,279,074
- Sheng-Han Kuo$7,664,903
Others in their field
Top investigators on “Play”
- Lawrence Corey · Fred Hutchinson Cancer Center$428,785,907
- Chanza Baytop · Westat, Inc.$271,217,917
- Richard K. Wilson · Washington University$200,435,757
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$196,976,947
- Jeffrey P Krischer · University Of South Florida$191,869,794
- Constance Ann Benson · University Of California, San Diego$187,132,366
Research focus
PlayGenesMethylationPatternEpigenetic ProcessSamplingRegulationBaseMapsDna MethylationGenome-WideGene Expression RegulationGenetic TranscriptionCellsGenomeMalignant NeoplasmsResolutionSignal TransductionDemethylationAffectBrainGenomicsMediatingGene Expression
Grant awards (21)
New approaches to determine the function of neuronal epigenetic marks$233,250
R21 · FY2025 · NS · contact PI
New approaches to determine the function of neuronal epigenetic marks$194,375
R21 · FY2024 · NS · contact PI
Single-cell approaches to probe the function of the unique neuronal epigenome$236,250
R21 · FY2023 · NS · contact PI
Computational modeling of DNA methylation-mediated gene regulation$366,897
R01 · FY2022 · LM · contact PI
Single-cell approaches to probe the function of the unique neuronal epigenome$196,875
R21 · FY2022 · NS · contact PI
Computational modeling of DNA methylation-mediated gene regulation$366,581
R01 · FY2021 · LM · contact PI
Computational modeling of DNA methylation-mediated gene regulation$350,896
R01 · FY2020 · LM · contact PI
Computational modeling of DNA methylation-mediated gene regulation$362,352
R01 · FY2019 · LM · contact PI
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION$343,125
R01 · FY2018 · GM · contact PI
Deconvolution of Epigenomic Data to Characterize Cellular Subpopulations$193,265
R21 · FY2018 · LM · contact PI
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION$343,125
R01 · FY2017 · GM · contact PI
Deconvolution of Epigenomic Data to Characterize Cellular Subpopulations$220,064
R21 · FY2017 · LM · contact PI
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION$343,125
R01 · FY2016 · GM · contact PI
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION$343,125
R01 · FY2015 · GM · contact PI
MODELING DNA METHYLATION'S ROLE IN GENE REGULATION$343,125
R01 · FY2014 · GM · contact PI
A MACHINE LEARNING APPROACH FOR FINE-SCALE GENOME WIDE DNA METHYLATION ANALYSIS$135,645
R21 · FY2013 · LM · contact PI
Novel approach to whole genome methylation profiling of breast cancer$241,530
R00 · FY2012 · CA · contact PI
A MACHINE LEARNING APPROACH FOR FINE-SCALE GENOME WIDE DNA METHYLATION ANALYSIS$152,000
R21 · FY2012 · LM · contact PI
Novel approach to whole genome methylation profiling of breast cancer$241,530
R00 · FY2011 · CA · contact PI
Novel approach to whole genome methylation profiling of breast cancer$249,000
R00 · FY2010 · CA · contact PI
Novel approach to whole genome methylation profiling of breast cancer$114,051
K99 · FY2008 · CA · contact PI