← Leaderboards
Matthew W. Thomson
University Of California, San Francisco
$9,429,354
Attributed
$24,480,063
Total exposure
6
Grants
2
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 $8.2M · FY2012–25$10M$7.5M$5M$2.5M$0
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$24,480,063 · 6
By mechanism
R01$14,002,074 · 2
U01$8,226,004 · 2
DP5$1,828,907 · 1
R21$423,078 · 1
Top collaborators
- Zev Jordan Gartner6 shared
- Andrei Goga6 shared
- Mark A Labarge6 shared
- Kenan Christopher Garcia5 shared
- Ellen V. Rothenberg5 shared
- Kai G Zinn5 shared
- Long Cai2 shared
- Richard George Everson2 shared
Most similar at University Of California, San Francisco
Same institution · by research overlap
- Sarah Monica Knox$17,006,690
- Jennifer E Ho$11,062,788
- Valerie Marie Weaver$26,171,723
- Galateia J Kazakia$8,810,670
- Zev Jordan Gartner$9,656,106
Others in their field
Top investigators on “Cells”
- Lawrence Corey · Fred Hutchinson Cancer Center$536,344,731
- Barton F Haynes · Duke University$457,457,619
- David Heimbrook · Leidos Biomedical Research, Inc.$454,789,509
- Glenda E Gray · Wits Health Consortium (Pty), Ltd$299,104,942
- Dennis R. Burton · Scripps Research Institute$278,781,854
- Mary M Horowitz · Medical College Of Wisconsin$237,383,608
Research focus
CellsIn VitroMolecularImagePathway InteractionsGenesSignal TransductionMeasurementGene ExpressionSingle Cell AnalysisTissuesTechnologyResponseArchitectureProteinsCell TypeCommunitiesAffectMapsMediatingMathematical ModelCell LineageCell MotilityComplex
Grant awards (25)
Understanding the role of tumor microenvironment in low grade glioma progression to malignancy$4,206,752
U01 · FY2025 · CA
A Global Map of Interactions Among Human Cell Surface Proteins and Secreted Ligands$3,947,774
R01 · FY2025 · GM
A Global Map of Interactions Among Human Cell Surface Proteins and Secreted Ligands$2,735,055
R01 · FY2024 · GM
Understanding the role of tumor microenvironment in low grade glioma progression to malignancy$1,069,188
U01 · FY2024 · CA
Understanding breast cancer progression as a defect in the mechanics of tissue self-organization$548,840
U01 · FY2024 · CA
A Global Map of Interactions Among Human Cell Surface Proteins and Secreted Ligands$178,914
R01 · FY2024 · GM
A Global Map of Interactions Among Human Cell Surface Proteins and Secreted Ligands$2,701,375
R01 · FY2023 · GM
System dynamics and gene network architecture of early T-cell development$537,755
R01 · FY2023 · HD
Understanding breast cancer progression as a defect in the mechanics of tissue self-organization$487,998
U01 · FY2023 · CA
Defining therapeutic strategies for boosting T-cell infiltration into cold tumors with spatial proteomics and machine learning$423,078
R21 · FY2023 · CA · contact PI
A single cell assay for tissue activity$161,345
U01 · FY2023 · CA
A Global Map of Interactions Among Human Cell Surface Proteins and Secreted Ligands$1,717,895
R01 · FY2022 · GM
Understanding breast cancer progression as a defect in the mechanics of tissue self-organization$566,166
U01 · FY2022 · CA
System dynamics and gene network architecture of early T-cell development$537,755
R01 · FY2022 · HD
Understanding breast cancer progression as a defect in the mechanics of tissue self-organization$577,726
U01 · FY2021 · CA
System dynamics and gene network architecture of early T-cell development$537,755
R01 · FY2021 · HD
Understanding breast cancer progression as a defect in the mechanics of tissue self-organization$607,989
U01 · FY2020 · CA
System dynamics and gene network architecture of early T-cell development$548,731
R01 · FY2020 · HD
System dynamics and gene network architecture of early T-cell development$559,065
R01 · FY2019 · HD
Quantitative models for controlling collective cell fate selection in stem cells$226,655
DP5 · FY2016 · OD · contact PI
Quantitative models for controlling collective cell fate selection in stem cells$156,750
DP5 · FY2016 · OD · contact PI
Quantitative models for controlling collective cell fate selection in stem cells$390,400
DP5 · FY2015 · OD · contact PI
Quantitative models for controlling collective cell fate selection in stem cells$389,400
DP5 · FY2014 · OD · contact PI
Quantitative models for controlling collective cell fate selection in stem cells$350,631
DP5 · FY2013 · OD · contact PI
Quantitative models for controlling collective cell fate selection in stem cells$315,071
DP5 · FY2012 · OD · contact PI