GGrantIndex
← Leaderboards

Markus W Covert

Stanford University

$9,997,943
Attributed
$9,997,943
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. They are the sole PI on all grants (the two match).

Funding over time

peak $1.2M · FY200724
$2M$1.5M$1M$500K$0
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24

Funding mix

By agency

NIH$9,997,943 · 8

By mechanism

DP1$3,952,240 · 2
R01$3,705,199 · 2
P50$886,836 · 1
R00$739,530 · 1
R21$439,224 · 1
K99$274,914 · 1

Top collaborators

No co-investigators on record.

Most similar at Stanford University

Same institution · by research overlap

Others in their field

Top investigators on “Cells

Research focus

CellsComplexGenesCell ModelSimulationBaseMolecularBehaviorBiologicalCell BehaviorResponseTechnologyOutputScienceLeadGene ExpressionBiochemicalHeterogeneityModels And SimulationCommunitiesMeasurementGenetic TranscriptionPublishingInsight

Grant awards (25)

Multi-scale, model-driven exploration of sub-generational gene expression in bacteria: individual consequences, population benefits$548,759
R01 · FY2024 · GM · contact PI
Multi-scale, model-driven exploration of sub-generational gene expression in bacteria: individual consequences, population benefits$548,372
R01 · FY2023 · GM · contact PI
Deep Curation via an Integrated Whole-Cell Computational Model$371,729
R01 · FY2023 · LM · contact PI
Multi-scale, model-driven exploration of sub-generational gene expression in bacteria: individual consequences, population benefits$548,002
R01 · FY2022 · GM · contact PI
Deep Curation via an Integrated Whole-Cell Computational Model$371,063
R01 · FY2022 · LM · contact PI
Multi-scale, model-driven exploration of sub-generational gene expression in bacteria: individual consequences, population benefits$565,004
R01 · FY2021 · GM · contact PI
Deep Curation via an Integrated Whole-Cell Computational Model$370,347
R01 · FY2021 · LM · contact PI
Deep Curation via an Integrated Whole-Cell Computational Model$381,923
R01 · FY2020 · LM · contact PI
MODELING CORE$181,687
P50 · FY2017 · GM · contact PI
MODELING CORE$181,687
P50 · FY2016 · GM · contact PI
MODELING CORE$163,520
P50 · FY2015 · GM · contact PI
MODELING CORE$163,335
P50 · FY2014 · GM · contact PI
A Gene-Complete Computational Model of Yeast$768,240
DP1 · FY2013 · LM · contact PI
New methods for monitoring the immune system, in individual cells and in vivo$228,590
R21 · FY2013 · AI · contact PI
MODELING CORE$196,607
P50 · FY2013 · GM · contact PI
A Gene-Complete Computational Model of Yeast$792,000
DP1 · FY2012 · LM · contact PI
New methods for monitoring the immune system, in individual cells and in vivo$210,634
R21 · FY2012 · AI · contact PI
A Gene-Complete Computational Model of Yeast$792,000
DP1 · FY2011 · OD · contact PI
Combining Computational and Experimentation to Interrogate NF-kappaB Signaling$241,530
R00 · FY2011 · CA · contact PI
A Gene-Complete Computational Model of Yeast$800,000
DP1 · FY2010 · OD · contact PI
Combining Computational and Experimentation to Interrogate NF-kappaB Signaling$249,000
R00 · FY2010 · CA · contact PI
A Gene-Complete Computational Model of Yeast$800,000
DP1 · FY2009 · OD · contact PI
Combining Computational and Experimentation to Interrogate NF-kappaB Signaling$249,000
R00 · FY2009 · CA · contact PI
Combining Computational and Experimentation to Interrogate NF-kappaB Signaling$137,457
K99 · FY2008 · CA · contact PI
Combining Computational and Experimentation to Interrogate NF-kappaB Signaling$137,457
K99 · FY2007 · CA · contact PI