← Leaderboards
Thomas Maccarthy
State University New York Stony Brook
$2,299,179
Attributed
$3,502,386
Total exposure
2
Grants
1
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 $870.4K · FY2015–21$1M$750K$500K$250K$0
'15
'16
'17
'18
'19
'20
'21
Funding mix
By agency
NIH$3,502,386 · 2
By mechanism
R01$3,502,386 · 2
Top collaborators
- Matthew D Scharff6 shared
Most similar at State University New York Stony Brook
Same institution · by research overlap
- W Todd Miller$6,412,382
- Kevin Michael McBride$3,232,853
- Nancy C. Reich$8,605,741
- Berhane Ghebrehiwet$2,635,483
- Robert C. Rizzo$7,144,550
Others in their field
Top investigators on “Malignant Neoplasms”
- David Heimbrook · Leidos Biomedical Research, Inc.$1,074,554,219
- Leonard Freedman · Leidos Biomedical Research, Inc.$527,106,485
- Ethan Dmitrovsky · Leidos Biomedical Research, Inc.$357,875,933
- Richard K. Wilson · Washington University$274,272,747
- Larry Arthur$223,443,122
- Lynn Briscoe · Leidos Biomedical Research, Inc.$186,892,879
Research focus
Malignant NeoplasmsMismatch RepairSiteResponseVaccinesActivation-Induced Cytidine DeaminaseImmunoglobulinsImmune ResponseLocationMutationStatistical ModelsVaccine ResponseBaseDensityAntibodiesGenesB Lymphoid MalignancyHuman Cell LineImmunoglobulin Somatic HypermutationInfectionFrequenciesAnimal ExperimentsAutoimmunityB-Lymphocytes
Grant awards (10)
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions$585,186
R01 · FY2021 · AI
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions$591,815
R01 · FY2020 · AI
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions$38,074
R01 · FY2020 · AI
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions$587,448
R01 · FY2019 · AI
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions$537,909
R01 · FY2018 · AI
High-throughput informatics for antibodies$266,488
R01 · FY2018 · GM · contact PI
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regions$65,982
R01 · FY2018 · AI
High-throughput informatics for antibodies$266,488
R01 · FY2017 · GM · contact PI
High-throughput informatics for antibodies$266,488
R01 · FY2016 · GM · contact PI
High-throughput informatics for antibodies$296,508
R01 · FY2015 · GM · contact PI