← Leaderboards
Jason Papin
University Of Virginia
$10,516,180
Attributed
$15,906,863
Total exposure
9
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 $2.7M · FY2010–25$5M$3.8M$2.5M$1.3M$0
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$15,906,863 · 9
By mechanism
R01$8,926,307 · 5
KL2$3,925,406 · 1
T32$2,630,564 · 2
R21$424,586 · 1
Top collaborators
- Donald E Brown5 shared
- Roseanne Ford5 shared
- Thomas P Loughran5 shared
- Kevin Skadron5 shared
- Bradford B Worrall5 shared
- Kevin A Janes4 shared
- Jennifer Lynn Guler2 shared
Most similar at University Of Virginia
Same institution · by research overlap
- Jennifer Lynn Guler$2,212,939
Others in their field
Top investigators on “Metabolic”
- David M Nathan · Massachusetts Institute Of Technology$157,845,616
- Joseph J. Eron · Univ Of North Carolina Chapel Hill$144,157,234
- Judith S. Currier · University Of California Los Angeles$141,260,706
- John M Lachin · George Washington University$139,991,329
- Randall J Bateman · Washington University$124,168,384
- Carol Nesel · Westat$116,355,411
Research focus
MetabolicMetabolismMicrobialPathway InteractionsEnvironmentProgramsBiochemical PathwayBacteriaComplexGrowthNetwork ModelsSystems BiologyInfectionPathogenBaseMicrobeTrainingLinkData ScienceLungPseudomonas AeruginosaComputer SimulationPhenotypeAntibiotics
Grant awards (38)
Interdisciplinary Training in Systems & Biomolecular Data Science$321,270
T32 · FY2025 · GM · contact PI
Systems biology approach to elucidate complex metabolic dependencies in the evolution of antibiotic resistance$310,167
R01 · FY2025 · GM · contact PI
Multi-scale model of microbial phenotype modulation by mucins$620,713
R01 · FY2024 · AI · contact PI
Interdisciplinary Training in Systems & Biomolecular Data Science$329,616
T32 · FY2024 · GM · contact PI
Systems biology approach to elucidate complex metabolic dependencies in the evolution of antibiotic resistance$310,167
R01 · FY2024 · GM · contact PI
Institutional Career Development Core$638,696
KL2 · FY2023 · TR · contact PI
Multi-scale model of microbial phenotype modulation by mucins$620,713
R01 · FY2023 · AI · contact PI
Interdisciplinary Training in Systems & Biomolecular Data Science$318,321
T32 · FY2023 · GM · contact PI
Systems biology approach to elucidate complex metabolic dependencies in the evolution of antibiotic resistance$310,167
R01 · FY2023 · GM · contact PI
Institutional Career Development Core$923,222
KL2 · FY2022 · TR · contact PI
Multi-scale model of microbial phenotype modulation by mucins$620,713
R01 · FY2022 · AI · contact PI
Interdisciplinary Training in Systems & Biomolecular Data Science$312,217
T32 · FY2022 · GM · contact PI
Institutional Career Development Core$924,249
KL2 · FY2021 · TR · contact PI
Multi-scale model of microbial phenotype modulation by mucins$618,287
R01 · FY2021 · AI · contact PI
Systems biology of microbe-mediated glucosinolate bioconversion in inflammatory bowel disease$399,031
R01 · FY2021 · AT · contact PI
Institutional Career Development Core$906,409
KL2 · FY2020 · TR · contact PI
Multi-scale model of microbial phenotype modulation by mucins$645,815
R01 · FY2020 · AI · contact PI
Systems biology of microbe-mediated glucosinolate bioconversion in inflammatory bowel disease$403,750
R01 · FY2020 · AT · contact PI
Systems biology of microbe-mediated glucosinolate bioconversion in inflammatory bowel disease$399,159
R01 · FY2020 · AT · contact PI
Transdisciplinary Big Data Science Training at UVa$297,628
T32 · FY2020 · LM · contact PI
Institutional Career Development Core$532,830
KL2 · FY2019 · TR · contact PI
Systems biology of microbe-mediated glucosinolate bioconversion in inflammatory bowel disease$399,285
R01 · FY2019 · AT · contact PI
Transdisciplinary Big Data Science Training at UVa$243,180
T32 · FY2019 · LM · contact PI
Systems biology of microbe-mediated glucosinolate bioconversion in inflammatory bowel disease$414,781
R01 · FY2018 · AT · contact PI
Transdisciplinary Big Data Science Training at UVa$233,235
T32 · FY2018 · LM · contact PI
Mapping and predicting metabolic fluxes between the ileal microbiome and host$343,688
R01 · FY2017 · GM · contact PI
Transdisciplinary Big Data Science Training at UVa$289,065
T32 · FY2017 · LM · contact PI
Tackling Malaria Resistance with an Integrated Modeling/Experimental Approach$192,543
R21 · FY2017 · AI
Mapping and predicting metabolic fluxes between the ileal microbiome and host$348,013
R01 · FY2016 · GM · contact PI
Transdisciplinary Big Data Science Training at UVa$286,032
T32 · FY2016 · LM · contact PI
Tackling Malaria Resistance with an Integrated Modeling/Experimental Approach$232,043
R21 · FY2016 · AI
Mapping and predicting metabolic fluxes between the ileal microbiome and host$347,964
R01 · FY2015 · GM · contact PI
Mapping and predicting metabolic fluxes between the ileal microbiome and host$347,918
R01 · FY2014 · GM · contact PI
Network Analysis of Pathogenicity in Pseudomonas aeruginosa$293,838
R01 · FY2014 · GM · contact PI
Network Analysis of Pathogenicity in Pseudomonas aeruginosa$283,965
R01 · FY2013 · GM · contact PI
Network Analysis of Pathogenicity in Pseudomonas aeruginosa$294,674
R01 · FY2012 · GM · contact PI
Network Analysis of Pathogenicity in Pseudomonas aeruginosa$295,068
R01 · FY2011 · GM · contact PI
Network Analysis of Pathogenicity in Pseudomonas aeruginosa$298,431
R01 · FY2010 · GM · contact PI