← Leaderboards
Dirk Schnappinger
University Of Minnesota
$17,202,306
Attributed
$47,628,897
Total exposure
28
Grants
9
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 $11M · FY2005–25$20M$15M$10M$5M$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$60,877,589 · 29
By mechanism
U19$26,871,258 · 19
R01$17,571,484 · 6
UM1$14,399,999 · 1
P01$1,466,957 · 1
R56$561,891 · 1
R13$6,000 · 1
Top collaborators
- Steven A. Carr45 shared
- Sarah M Fortune45 shared
- Thomas R Ioerger45 shared
- Kyu Y Rhee45 shared
- Eric Joseph Rubin20 shared
- Sabine Ehrt9 shared
- Joanne L. Flynn8 shared
- Courtney C Aldrich5 shared
Most similar at University Of Minnesota
Same institution · by research overlap
- Courtney C Aldrich$9,602,262
- Veronique Dartois$28,450,941
Others in their field
Top investigators on “Mycobacterium Tuberculosis”
- Margaret Juliana McElrath · Fred Hutchinson Cancer Center$267,251,837
- Constance Ann Benson · University Of California, San Diego$150,079,712
- Kevin Urdahl · Seattle Children'S Hospital$86,597,961
- David Alland · Rutgers Biomedical And Health Sciences$70,943,567
- Sarah Fortune · Harvard School Of Public Health$51,119,645
- William Robert Jacobs · Albert Einstein College Of Medicine$43,123,310
Research focus
Mycobacterium TuberculosisProteinsGenesGrowthMutantGeneticProgramsTuberculosisIn VitroEnzymesPharmaceutical PreparationsPathway InteractionsPathogenInfectionBasePhenotypeGlobal HealthMetabolomicsBiological ProcessBiochemicalMouse ModelTechnologyPlayTuberculosis Drugs
Grant awards (77)
Preclinical Design and Clinical Translation of TB Regimens (PReDicTR) Consortium$7,200,000
UM1 · FY2025 · AI
Understanding resistance and tolerance to nitroimidazoles in Mycobacterium tuberculosis$2,944,529
R01 · FY2025 · AI · contact PI
M. tuberculosis carbon metabolism during infection$817,108
R01 · FY2025 · AI
Preclinical Design and Clinical Translation of TB Regimens (PReDicTR) Consortium$7,199,999
UM1 · FY2024 · AI
M. tuberculosis carbon metabolism during infection$939,332
R01 · FY2024 · AI
Project 2. Acquisition, synthesis and importance of biotin in Mtb.$281,233
P01 · FY2024 · AI · contact PI
Development of a Self Inactivating, Highly Effective TB Vaccine$786,054
R01 · FY2023 · AI
Targeting Biotin Metabolism in Mycobacterium Tuberculosis$779,863
R01 · FY2023 · AI
M. tuberculosis carbon metabolism during infection$652,282
R01 · FY2023 · AI
Project 2. Acquisition, synthesis and importance of biotin in Mtb.$287,664
P01 · FY2023 · AI · contact PI
2023 Tuberculosis Drug Discovery and Development Gordon Research Conference and Gordon Research Seminar$6,000
R13 · FY2023 · AI · contact PI
Development of a Self Inactivating, Highly Effective TB Vaccine$787,367
R01 · FY2022 · AI
Targeting Biotin Metabolism in Mycobacterium Tuberculosis$779,863
R01 · FY2022 · AI
Project 2. Acquisition, synthesis and importance of biotin in Mtb.$292,757
P01 · FY2022 · AI · contact PI
Development of a Self Inactivating, Highly Effective TB Vaccine$807,595
R01 · FY2021 · AI
Targeting Biotin Metabolism in Mycobacterium Tuberculosis$779,863
R01 · FY2021 · AI
Project 2. Acquisition, synthesis and importance of biotin in Mtb.$300,493
P01 · FY2021 · AI · contact PI
Development of a Self Inactivating, Highly Effective TB Vaccine$780,015
R01 · FY2020 · AI
Targeting Biotin Metabolism in Mycobacterium Tuberculosis$779,863
R01 · FY2020 · AI
Project 2. Acquisition, synthesis and importance of biotin in Mtb.$304,810
P01 · FY2020 · AI · contact PI
Targeting Biotin Metabolism in Mycobacterium Tuberculosis$820,039
R01 · FY2019 · AI
Development of a Self Inactivating, Highly Effective TB Vaccine$721,271
R01 · FY2019 · AI
Decoding the roles of critical genes of unknown function in M. tuberculosis$2,581,462
U19 · FY2017 · AI
Data Management and Resource Dissemination Core$679,583
U19 · FY2017 · AI
Technology Core: Sequencing$569,304
U19 · FY2017 · AI
The roles of genes critical for growth in vitro$411,169
U19 · FY2017 · AI · contact PI
The roles of biologically relevant ncRNAs$400,266
U19 · FY2017 · AI
Administrative Core$309,494
U19 · FY2017 · AI
Technology Core: Metabolomics and Biochemistry$237,448
U19 · FY2017 · AI
Technology Core: Proteomics$167,099
U19 · FY2017 · AI
The roles of genes critical for growth under defined conditions in vitro or duri$161,656
U19 · FY2017 · AI
Decoding the roles of critical genes of unknown function in M. tuberculosis$2,581,462
U19 · FY2016 · AI
The roles of genes critical for growth in vitro$669,700
U19 · FY2016 · AI · contact PI
The roles of genes critical for growth under defined conditions in vitro or duri$593,390
U19 · FY2016 · AI
Technology Core: Metabolomics and Biochemistry$458,561
U19 · FY2016 · AI
The roles of biologically relevant ncRNAs$275,593
U19 · FY2016 · AI
Technology Core: Proteomics$184,037
U19 · FY2016 · AI
Technology Core: Sequencing$173,290
U19 · FY2016 · AI
Data Management and Resource Dissemination Core$132,392
U19 · FY2016 · AI
Administrative Core$113,816
U19 · FY2016 · AI
Decoding the roles of critical genes of unknown function in M. tuberculosis$2,782,563
U19 · FY2015 · AI
The roles of genes critical for growth under defined conditions in vitro or duri$672,898
U19 · FY2015 · AI
The roles of genes critical for growth in vitro$667,273
U19 · FY2015 · AI · contact PI
Biotin synthesis and biotin ligation in Mtb$605,531
R01 · FY2015 · AI · contact PI
Technology Core: Metabolomics and Biochemistry$449,492
U19 · FY2015 · AI
The roles of biologically relevant ncRNAs$279,487
U19 · FY2015 · AI
Technology Core: Proteomics$249,287
U19 · FY2015 · AI
Technology Core: Sequencing$169,933
U19 · FY2015 · AI
Administrative Core$160,503
U19 · FY2015 · AI
Data Management and Resource Dissemination Core$133,690
U19 · FY2015 · AI
Decoding the roles of critical genes of unknown function in M. tuberculosis$2,581,322
U19 · FY2014 · AI
The roles of genes critical for growth in vitro$662,658
U19 · FY2014 · AI · contact PI
Biotin synthesis and biotin ligation in Mtb$605,531
R01 · FY2014 · AI · contact PI
The roles of genes critical for growth under defined conditions in vitro or duri$521,480
U19 · FY2014 · AI
Technology Core: Metabolomics and Biochemistry$452,330
U19 · FY2014 · AI
The roles of biologically relevant ncRNAs$283,223
U19 · FY2014 · AI
Technology Core: Proteomics$249,896
U19 · FY2014 · AI
Technology Core: Sequencing$169,486
U19 · FY2014 · AI
Data Management and Resource Dissemination Core$128,066
U19 · FY2014 · AI
Administrative Core$114,183
U19 · FY2014 · AI
Decoding the roles of critical genes of unknown function in M. tuberculosis$2,721,883
U19 · FY2013 · AI
The roles of genes critical for growth in vitro$684,551
U19 · FY2013 · AI · contact PI
The roles of genes critical for growth under defined conditions in vitro or duri$612,109
U19 · FY2013 · AI
Biotin synthesis and biotin ligation in Mtb$569,199
R01 · FY2013 · AI · contact PI
Technology Core: Metabolomics and Biochemistry$464,355
U19 · FY2013 · AI
The roles of biologically relevant ncRNAs$287,071
U19 · FY2013 · AI
Technology Core: Proteomics$256,103
U19 · FY2013 · AI
Technology Core: Sequencing$174,795
U19 · FY2013 · AI
Data Management and Resource Dissemination Core$130,245
U19 · FY2013 · AI
Administrative Core$112,654
U19 · FY2013 · AI
Biotin synthesis and biotin ligation in Mtb$605,531
R01 · FY2012 · AI · contact PI
Biotin synthesis and biotin ligation in Mtb$630,181
R01 · FY2011 · AI · contact PI
Robust Genetic Switches for Mycobacteria$561,891
R56 · FY2011 · AI · contact PI
Alternative Respiratory Chains of M. tuberculosis$321,433
R01 · FY2007 · AI · contact PI
Alternative Respiratory Chains of M. tuberculosis$331,034
R01 · FY2006 · AI · contact PI
Alternative Respiratory Chains of M. tuberculosis$339,000
R01 · FY2005 · AI
Alternative Respiratory Chains of M. tuberculosis$389,000
R01 · FY2004 · AI