← Leaderboards
David Kevin Wood
Massachusetts Institute Of Technology
$10,698,664
Attributed
$14,166,600
Total exposure
12
Grants
10
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 $2.3M · FY2009–25$2.5M$1.9M$1.3M$625K$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$14,166,600 · 12
By mechanism
R01$11,770,661 · 5
R21$1,565,926 · 4
R56$402,216 · 1
U54$330,113 · 1
F32$97,684 · 1
Top collaborators
- Paolo Provenzano5 shared
- Wilbur A Lam4 shared
- Kathryn L Schwertfeger2 shared
- John Matthew Higgins1 shared
Most similar at Massachusetts Institute Of Technology
Same institution · by research overlap
- David M Nathan$156,869,844
- Jane-Jane Chen$5,525,108
- Lev T. Perelman$24,479,528
- John S. Wishnok$7,632,021
- Carl D Novina$12,702,009
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
CellsNovel TherapeuticsPhysiologicalTissuesIn VitroMicrofluidicsOxygenPropertySickle Cell AnemiaIn VivoSickle HemoglobinTechnologyEngineeringHemoglobinResponseFiberGeneticMeasurementCessation Of LifeBloodPolymerizationBehaviorPolymersImage
Grant awards (40)
Modeling oxygen-dependent hemoglobin polymerization in sickle cell disease at the single cell level$719,128
R01 · FY2025 · HL
Discovery and validation of single cell biomarkers for clinical outcome in sickle cell disease$608,126
R01 · FY2025 · HL · contact PI
Developing a multiscale understanding of biophysical processes in sickle cell disease$593,999
R01 · FY2024 · HL · contact PI
A platform to functionally sort and analyze tumor cells within combinatorial metastatic micorenvironments$537,134
R01 · FY2024 · CA · contact PI
Developing a multiscale understanding of biophysical processes in sickle cell disease$70,737
R01 · FY2024 · HL · contact PI
Developing a multiscale understanding of biophysical processes in sickle cell disease$606,191
R01 · FY2023 · HL · contact PI
A platform to functionally sort and analyze tumor cells within combinatorial metastatic micorenvironments$562,063
R01 · FY2023 · CA · contact PI
Developing a multiscale understanding of biophysical processes in sickle cell disease$70,737
R01 · FY2023 · HL · contact PI
Developing a multiscale understanding of biophysical processes in sickle cell disease$606,039
R01 · FY2022 · HL · contact PI
A platform to functionally sort and analyze tumor cells within combinatorial metastatic micorenvironments$573,913
R01 · FY2022 · CA · contact PI
Redefining Clinical Viscosity in Sickle Cell Diseaseby Leveraging Microfluidic Technologies$719,801
R01 · FY2021 · HL
Developing a multiscale understanding of biophysical processes in sickle cell disease$592,802
R01 · FY2021 · HL · contact PI
A platform to functionally sort and analyze tumor cells within combinatorial metastatic micorenvironments$591,141
R01 · FY2021 · CA · contact PI
HbS oligomers as a therapeutic target in sickle cell disease$187,064
R21 · FY2021 · HL · contact PI
Redefining Clinical Viscosity in Sickle Cell Diseaseby Leveraging Microfluidic Technologies$736,952
R01 · FY2020 · HL
A platform to functionally sort and analyze tumor cells within combinatorial metastatic micorenvironments$598,441
R01 · FY2020 · CA · contact PI
A microfluidic platform to study sickle blood rheology$524,134
R01 · FY2020 · HL · contact PI
HbS oligomers as a therapeutic target in sickle cell disease$224,713
R21 · FY2020 · HL · contact PI
Dissecting the functions of diverse macrophage populations in the metastatic niche$161,398
R21 · FY2020 · CA · contact PI
Core 1: Cellular Microenvironment Engineering$51,509
U54 · FY2020 · CA · contact PI
Redefining Clinical Viscosity in Sickle Cell Diseaseby Leveraging Microfluidic Technologies$749,772
R01 · FY2019 · HL
A microfluidic platform to study sickle blood rheology$524,134
R01 · FY2019 · HL · contact PI
Dissecting the functions of diverse macrophage populations in the metastatic niche$194,893
R21 · FY2019 · CA · contact PI
Core 1: Cellular Microenvironment Engineering$62,085
U54 · FY2019 · CA · contact PI
Core 1: Cellular Microenvironment Engineering$13,828
U54 · FY2019 · CA · contact PI
Core 1: Cellular Microenvironment Engineering$10,070
U54 · FY2019 · CA · contact PI
Redefining Clinical Viscosity in Sickle Cell Diseaseby Leveraging Microfluidic Technologies$791,236
R01 · FY2018 · HL
A microfluidic platform to study sickle blood rheology$451,381
R01 · FY2018 · HL · contact PI
A microfluidic platform to study sickle blood rheology$66,696
R01 · FY2018 · HL · contact PI
Core 1: Cellular Microenvironment Engineering$62,185
U54 · FY2018 · CA · contact PI
A microfluidic platform to study sickle blood rheology$476,104
R01 · FY2017 · HL · contact PI
Dissecting the origins of fetal hemoglobin modulation of sickle cell vaso-occlusion$192,139
R21 · FY2017 · HL · contact PI
Carcinoma Cell Hyaluronan as a Therapeutic Target in Metastasis$162,704
R21 · FY2017 · CA · contact PI
Core 1: Cellular Microenvironment Engineering$73,817
U54 · FY2017 · CA · contact PI
A microfluidic platform to study sickle blood rheology$402,216
R56 · FY2016 · HL · contact PI
Dissecting the origins of fetal hemoglobin modulation of sickle cell vaso-occlusion$242,670
R21 · FY2016 · HL · contact PI
Carcinoma Cell Hyaluronan as a Therapeutic Target in Metastasis$200,345
R21 · FY2016 · CA · contact PI
Core 1: Cellular Microenvironment Engineering$56,619
U54 · FY2016 · CA · contact PI
Self-Organized Tissue Microvasculature$50,474
F32 · FY2010 · EB · contact PI
Self-Organized Tissue Microvasculature$47,210
F32 · FY2009 · EB · contact PI