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Denise E Kirschner

Tufts University Boston

Google Scholar ↗PubMed ↗ORCID ↗
$15,723,288
Attributed
$28,934,633
Total exposure
11
Grants
6
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 $2.7M · FY2005–24
$5M$3.8M$2.5M$1.3M$0
'05
'06
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24

Funding mix

By agency

NIH$28,934,633 · 11

By mechanism

R01$25,301,562 · 9
U01$2,949,071 · 1
R33$684,000 · 1

Top collaborators

Most similar at Tufts University Boston

Same institution · by research overlap

Others in their field

Top investigators on “Mathematical Model”

Research focus

Mathematical ModelMycobacterium TuberculosisTuberculosisGranulomaComputer SimulationInfectionLungOrganComplexLymph NodesImmune ResponseAnimal ModelTissuesNonhuman PrimatePathogenImmuneIn VivoMolecularEventCytokineSystems BiologyResponseBaseCells

Grant awards (47)

Lesion-centric optimization of multidrug therapies for tuberculosis$818,294
R01 · FY2024 · AI
Lesion-centric optimization of multidrug therapies for tuberculosis$823,212
R01 · FY2023 · AI
Lesion-centric optimization of multidrug therapies for tuberculosis$827,669
R01 · FY2022 · AI
Lesion-centric optimization of multidrug therapies for tuberculosis$832,259
R01 · FY2021 · AI
Lesion-centric optimization of multidrug therapies for tuberculosis$869,259
R01 · FY2020 · AI
Predicting protective T-cell responses in Tuberculosis using a systems biology approach$704,080
R01 · FY2020 · AI · contact PI
A Multi-scale systems pharmacology approach to TB therapy$717,296
U01 · FY2019 · HL · contact PI
Predicting protective T-cell responses in Tuberculosis using a systems biology approach$711,246
R01 · FY2019 · AI · contact PI
Predicting protective T-cell responses in Tuberculosis using a systems biology approach$727,947
R01 · FY2018 · AI · contact PI
A Multi-scale systems pharmacology approach to TB therapy$717,122
U01 · FY2018 · HL · contact PI
Predicting protective T-cell responses in Tuberculosis using a systems biology approach$735,488
R01 · FY2017 · AI · contact PI
A Multi-scale systems pharmacology approach to TB therapy$714,113
U01 · FY2017 · HL · contact PI
Predicting immune responses that correlate with protection against tuberculosis$1,149,943
R01 · FY2016 · HL
A Multi-scale systems pharmacology approach to TB therapy$800,540
U01 · FY2016 · HL · contact PI
Predicting protective T-cell responses in Tuberculosis using a systems biology approach$767,668
R01 · FY2016 · AI · contact PI
Predicting immune responses that correlate with protection against tuberculosis$1,141,651
R01 · FY2015 · HL
Predicting immune responses that correlate with protection against tuberculosis$1,211,784
R01 · FY2014 · HL
A multi-scale model to predict outcomes of immunomodulation and drug therapy duri$573,969
R01 · FY2014 · EB · contact PI
Predicting immune responses that correlate with protection against tuberculosis$1,172,751
R01 · FY2013 · HL
Defining how the spectrum of latency affects reactivation of TB$614,716
R01 · FY2013 · HL
A multi-scale model to predict outcomes of immunomodulation and drug therapy duri$559,666
R01 · FY2013 · EB · contact PI
Predicting immune responses that correlate with protection against tuberculosis$1,252,487
R01 · FY2012 · HL
Defining how the spectrum of latency affects reactivation of TB$646,562
R01 · FY2012 · HL
A multi-scale model to predict outcomes of immunomodulation and drug therapy duri$595,013
R01 · FY2012 · EB · contact PI
Defining how the spectrum of latency affects reactivation of TB$654,521
R01 · FY2011 · HL
A multi-scale model to predict outcomes of immunomodulation and drug therapy duri$610,696
R01 · FY2011 · EB · contact PI
Defining how the spectrum of latency affects reactivation of TB$675,044
R01 · FY2010 · HL
A multi-scale and multi-system approach to understand granuloma formation in TB$228,000
R33 · FY2010 · HL · contact PI
A multi-scale and multi-system approach to understand granuloma formation in TB$228,000
R33 · FY2009 · HL · contact PI
A multi-scale and multi-system approach to understand granuloma formation in TB$228,000
R33 · FY2008 · HL · contact PI
"MSM" A multi-scale approach for understanding antigen presentation in immunity$351,590
R01 · FY2007 · LM · contact PI
Chemokine Dynamics in the HIV-1/SIV Infected Lung$502,876
R01 · FY2006 · HL · contact PI
"MSM" A multi-scale approach for understanding antigen presentation in immunity$351,737
R01 · FY2006 · LM · contact PI
Chemokine Dynamics in the HIV-1/SIV Infected Lung$515,081
R01 · FY2005 · HL
The dynamics of granuloma formation in tuberculosis$455,392
R01 · FY2005 · HL
"MSM" A multi-scale approach for understanding antigen presentation in immunity$364,755
R01 · FY2005 · LM
Chemokine Dynamics in the HIV-1/SIV Infected Lung$512,181
R01 · FY2004 · HL
The dynamics of granuloma formation in tuberculosis$455,392
R01 · FY2004 · HL
Chemokine Dynamics in the HIV-1/SIV Infected Lung$517,085
R01 · FY2003 · HL
The dynamics of granuloma formation in tuberculosis$455,392
R01 · FY2003 · HL
Chemokine Dynamics in the HIV-1/SIV Infected Lung$514,697
R01 · FY2002 · HL
The dynamics of granuloma formation in tuberculosis$455,392
R01 · FY2002 · HL
MODELING CELLULAR IMMUNITY DURING HIV AND TB INFECTIONS$200,115
R01 · FY2002 · HL
The dynamics of granuloma formation in tuberculosis$488,187
R01 · FY2001 · HL
MODELING CELLULAR IMMUNITY DURING HIV AND TB INFECTIONS$227,869
R01 · FY2001 · HL
MODELING CELLULAR IMMUNITY DURING HIV AND TB INFECTIONS$227,782
R01 · FY2000 · HL
MODELING CELLULAR IMMUNITY DURING HIV AND TB INFECTIONS$30,114
R01 · FY2000 · HL