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Aaron L Fogelson

Univ Of North Carolina Chapel Hill

$5,408,600
Attributed
$11,828,399
Total exposure
8
Grants
4
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 $1.5M · FY200925
$2M$1.5M$1M$500K$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$13,308,398 · 9

By mechanism

R01$13,308,398 · 9

Top collaborators

Most similar at Univ Of North Carolina Chapel Hill

Same institution · by research overlap

Others in their field

Top investigators on “Lead

Research focus

LeadComplexCoupledResponseBlood PlateletsIn VitroAffectMathematical ModelInnovationThrombosisCoagulation ProcessEngineeringThrombusBlood VesselsBlood FlowIn Vitro ModelEnvironmentPhysical ModelVariantImagePathologyBehaviorMonolayerPrevent

Grant awards (34)

Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic Valves$657,516
R01 · FY2025 · HL
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic Valves$650,638
R01 · FY2024 · HL
An integrated computational and experimental approach to understanding the hemostatic response during treatment of bleeding$714,627
R01 · FY2023 · HL
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic Valves$671,895
R01 · FY2023 · HL
Computational and Experimental Modeling of Subclinical Leaflet Thrombosis in Bioprosthetic Aortic Valves$705,213
R01 · FY2022 · HL
An integrated computational and experimental approach to understanding the hemostatic response during treatment of bleeding$632,809
R01 · FY2022 · HL
An integrated computational and experimental approach to understanding the hemostatic response during treatment of bleeding$689,363
R01 · FY2021 · HL
Modeling gastric mucus layer physiology$365,725
R01 · FY2021 · GM · contact PI
An integrated computational and experimental approach to understanding the hemostatic response during treatment of bleeding$735,695
R01 · FY2020 · HL
Modeling gastric mucus layer physiology$365,725
R01 · FY2020 · GM · contact PI
ConProject-002$149,093
R01 · FY2020 · GM · contact PI
ConProject-001$136,446
R01 · FY2020 · GM · contact PI
ConProject-003$80,186
R01 · FY2020 · GM · contact PI
Modeling gastric mucus layer physiology$351,324
R01 · FY2019 · GM · contact PI
ConProject-002$143,433
R01 · FY2019 · GM · contact PI
ConProject-001$130,812
R01 · FY2019 · GM · contact PI
ConProject-003$77,079
R01 · FY2019 · GM · contact PI
A Systems Biology Approach to Predicting Bleeding in Hemophilia$572,678
R01 · FY2018 · HL
Modeling gastric mucus layer physiology$397,225
R01 · FY2018 · GM · contact PI
Upstream priming of platelets for adhesion to biomaterials$372,500
R01 · FY2018 · HL
ConProject-002$70,177
R01 · FY2018 · GM · contact PI
ConProject-001$69,449
R01 · FY2018 · GM · contact PI
ConProject-003$29,734
R01 · FY2018 · GM · contact PI
A Systems Biology Approach to Predicting Bleeding in Hemophilia$573,115
R01 · FY2017 · HL
Upstream priming of platelets for adhesion to biomaterials$372,500
R01 · FY2017 · HL
A Systems Biology Approach to Predicting Bleeding in Hemophilia$570,499
R01 · FY2016 · HL
Upstream priming of platelets for adhesion to biomaterials$372,500
R01 · FY2016 · HL
A Systems Biology Approach to Predicting Bleeding in Hemophilia$576,982
R01 · FY2015 · HL
Upstream priming of platelets for adhesion to biomaterials$372,500
R01 · FY2015 · HL
A Systems Biology Approach to Predicting Bleeding in Hemophilia$421,786
R01 · FY2014 · HL
Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow$314,206
R01 · FY2012 · GM · contact PI
Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow$315,018
R01 · FY2011 · GM · contact PI
Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow$318,306
R01 · FY2010 · GM · contact PI
Multiscale Computational Modeling of Platelet Deposition and Coagulation in Flow$331,644
R01 · FY2009 · GM · contact PI