Ming Dao

Ming Dao

Massachusetts Institute of Technology

H-index: 71

North America-United States

About Ming Dao

Ming Dao, With an exceptional h-index of 71 and a recent h-index of 52 (since 2020), a distinguished researcher at Massachusetts Institute of Technology,

His recent articles reflect a diverse array of research interests and contributions to the field:

Two-component macrophage model for active phagocytosis with pseudopod formation

A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells

Phonon stability boundary and deep elastic strain engineering of lattice thermal conductivity

High-Throughput Microfluidic Extraction of Platelet-free Plasma for MicroRNA and Extracellular Vesicle Analysis

Suggested searches

Computer vision-enhanced microfluidic assay for evaluating the anti-sickling efficacy of sickle cell disease treatments

Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease

Red blood cell passage through deformable interendothelial slits in the spleen: Insights into splenic filtration and hemodynamics

Ming Dao Information

University

Position

___

Citations(all)

24462

Citations(since 2020)

10451

Cited By

18349

hIndex(all)

71

hIndex(since 2020)

52

i10Index(all)

151

i10Index(since 2020)

126

Email

University Profile Page

Google Scholar

Top articles of Ming Dao

Two-component macrophage model for active phagocytosis with pseudopod formation

Biophysical Journal

2024/3/25

A framework of computer vision-enhanced microfluidic approach for automated assessment of the transient sickling kinetics in sickle red blood cells

Frontiers in physics

2024/3/14

Yuhao Qiang
Yuhao Qiang

H-Index: 6

Ming Dao
Ming Dao

H-Index: 48

Phonon stability boundary and deep elastic strain engineering of lattice thermal conductivity

Proceedings of the National Academy of Sciences

2024/2/20

High-Throughput Microfluidic Extraction of Platelet-free Plasma for MicroRNA and Extracellular Vesicle Analysis

ACS nano

2024/2/13

Computer vision-enhanced microfluidic assay for evaluating the anti-sickling efficacy of sickle cell disease treatments

Biophysical Journal

2024/2/8

Yuhao Qiang
Yuhao Qiang

H-Index: 6

Ming Dao
Ming Dao

H-Index: 48

Signaling-biophysical modeling unravels mechanistic control of red blood cell phagocytosis by macrophages in sickle cell disease

PNAS Nexus

2024/1/20

Red blood cell passage through deformable interendothelial slits in the spleen: Insights into splenic filtration and hemodynamics

bioRxiv

2024

High-throughput single-cell assay for precise measurement of the intrinsic mechanical properties and shape characteristics of red blood cells

Lab on a Chip

2024

Safe drugs with high potential to block malaria transmission revealed by a spleen-mimetic screening

Nature Communications

2023/4/7

Pablo Gamallo
Pablo Gamallo

H-Index: 18

Ming Dao
Ming Dao

H-Index: 48

Interferometric phase and absorption microscopy (iPAM) for sickle cell disease imaging (Conference Presentation)

2023/3/16

Microfluidic study of retention and elimination of abnormal red blood cells by human spleen with implications for sickle cell disease

Proceedings of the National Academy of Sciences

2023/2/7

Multiphysics and multiscale modeling of erythrophagocytosis

Bulletin of the American Physical Society

2023/3/9

In Situ Study of Twin Boundary Stability in Nanotwinned Copper Pillars under Different Strain Rates

Nanomaterials

2023/1/1

Chih Chen
Chih Chen

H-Index: 23

Ming Dao
Ming Dao

H-Index: 48

A combined computational and experimental investigation of the filtration function of splenic macrophages in sickle cell disease

Physical Chemistry Chemical Physics

2016

Isolating Small Extracellular Vesicles from Small Volumes of Blood Plasma using size exclusion chromatography and density gradient ultracentrifugation: A Comparative Study

bioRxiv

2023/11/1

Fang Kong
Fang Kong

H-Index: 0

Ming Dao
Ming Dao

H-Index: 48

In silico and in vitro study of the adhesion dynamics of erythrophagocytosis in sickle cell disease

Biophysical Journal

2023/6/20

Evolution of surface area and membrane shear modulus of matured human red blood cells during mechanical fatigue

Scientific Reports

2023/5/26

Modeling fretting wear resistance and shakedown of metallic materials with graded nanostructured surfaces

Nanomaterials

2023/5/9

Ting Yang
Ting Yang

H-Index: 4

Ming Dao
Ming Dao

H-Index: 48

Microfluidics guided by deep learning for cancer immunotherapy screening

Proceedings of the National Academy of Sciences

2022/11/15

See List of Professors in Ming Dao University(Massachusetts Institute of Technology)

Co-Authors

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