World's Best Scientists 2026 revealed!
Ming Dao

Ming Dao

D-Index & Metrics

Materials Science

D-Index
73
Citations
25745
World Ranking
3764
National Ranking
1032

Ming Dao publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Ming Dao sits on this spectrum.

50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 724 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 478 scientists 350–369 publications: 441 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 257 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50 publications 1,163+

This scientist: 193 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

Ming Dao D-index placement in Materials Science in 2026

The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Ming Dao sits on this spectrum.

40–41 D-Index: 211 scientists 42–43 D-Index: 451 scientists 44–45 D-Index: 613 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 204 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 118 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40 D-Index 165+

This scientist: 73 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

Research.com Recognitions

  • 2016 - Fellow of the American Society of Mechanical Engineers
  • 1958 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Ming Dao is affiliated with MIT in the United States and has contributed extensively to research in Medicine and Engineering, with a particular focus on subfields such as Pulmonary and Respiratory Medicine, Physiology, Biomedical Engineering, Materials Chemistry, and Genetics.

The primary topics of Ming Dao's work include:

  • Blood properties and coagulation
  • Erythrocyte Function and Pathophysiology
  • Hemoglobinopathies and Related Disorders
  • Extracellular vesicles in disease
  • Metal and Thin Film Mechanics
  • Machine Learning in Materials Science
  • 3D Printing in Biomedical Research

Ming Dao's recent papers highlight a diverse research range, including materials science and biomedical applications. Notable publications include:

  • "Extraction of mechanical properties of materials through deep learning from instrumented indentation" (2020) in Proceedings of the National Academy of Sciences
  • "Analyses of internal structures and defects in materials using physics-informed neural networks" (2022) in Science Advances
  • "Impairment of gut microbial biotin metabolism and host biotin status in severe obesity: effect of biotin and prebiotic supplementation on improved metabolism" (2022) in Gut
  • "Artificial intelligence velocimetry and microaneurysm-on-a-chip for three-dimensional analysis of blood flow in physiology and disease" (2021) in Proceedings of the National Academy of Sciences
  • "Patient-Specific Organoid and Organ-on-a-Chip: 3D Cell-Culture Meets 3D Printing and Numerical Simulation" (2021) in Advanced Biology

Frequent collaborators in Ming Dao's research include:

  • George Em Karniadakis
  • Yuhao Qiang
  • Pierre Buffet
  • Subra Suresh
  • Xuejin Li

Ming Dao's work has been published multiple times in key scientific venues such as:

  • Proceedings of the National Academy of Sciences
  • Biophysical Journal
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Lab on a Chip
  • Small

The scientist has been recognized through fellowships in prominent professional societies:

  • Fellow of the American Society of Mechanical Engineers (2016)
  • Fellow of the American Association for the Advancement of Science (AAAS) (1958)

Best Publications

  • Computational modeling of the forward and reverse problems in instrumented sharp indentation

    M. Dao;N. Chollacoop;K.J. Van Vliet;T.A. Venkatesh

  • Toward a quantitative understanding of mechanical behavior of nanocrystalline metals

    M. Dao;L. Lu;R. J. Asaro;J. T. M. De Hosson

  • Connections between single-cell biomechanics and human disease states: gastrointestinal cancer and malaria

    S. Suresh;Joachim P. Spatz;J. P. Mills;Alexandre Micoulet

  • Mechanics of the human red blood cell deformed by optical tweezers

    M. Dao;C.T. Lim;S. Suresh

  • Isolation of exosomes from whole blood by integrating acoustics and microfluidics

    Mengxi Wu;Yingshi Ouyang;Zeyu Wang;Rui Zhang

  • Acoustic separation of circulating tumor cells

    Peng Li;Zhangming Mao;Zhangli Peng;Lanlan Zhou

  • Nano-sized twins induce high rate sensitivity of flow stress in pure copper

    L. Lu;L. Lu;R. Schwaiger;Z.W. Shan;M. Dao

  • Cold spray coating: review of material systems and future perspectives

    A. Moridi;S. M. Hassani-Gangaraj;M. Guagliano;M. Dao

  • Some critical experiments on the strain-rate sensitivity of nanocrystalline nickel

    R Schwaiger;B Moser;M Dao;N Chollacoop

  • Shape and Biomechanical Characteristics of Human Red Blood Cells in Health and Disease

    Monica Diez-Silva;Ming Dao;Jongyoon Han;Chwee-Teck Lim

  • Strength, strain-rate sensitivity and ductility of copper with nanoscale twins

    M. Dao;L. Lu;L. Lu;Y.F. Shen;S. Suresh

  • Three-dimensional manipulation of single cells using surface acoustic waves

    Feng Guo;Zhangming Mao;Yuchao Chen;Zhiwei Xie

  • Indentation across size scales and disciplines: Recent developments in experimentation and modeling

    Andrew Gouldstone;Nuwong Chollacoop;Ming Dao;Ju Li

  • Spectrin-Level Modeling of the Cytoskeleton and Optical Tweezers Stretching of the Erythrocyte

    J. Li;M. Dao;C.T. Lim;S. Suresh

  • Cell separation using tilted-angle standing surface acoustic waves

    Xiaoyun Ding;Zhangli Peng;Sz-Chin Steven Lin;Michela Geri

  • Nonlinear elastic and viscoelastic deformation of the human red blood cell with optical tweezers.

    J P Mills;L Qie;M Dao;C T Lim

  • Depth-sensing instrumented indentation with dual sharp indenters

    N. Chollacoop;M. Dao;S. Suresh

  • Nanoscale heterogeneity promotes energy dissipation in bone

    Kuangshin Tai;Ming Dao;Subra Suresh;Ahmet Palazoglu

  • Study of mechanical deformation in bulk metallic glass through instrumented indentation

    R. Vaidyanathan;M. Dao;G. Ravichandran;S. Suresh

  • Ultralarge elastic deformation of nanoscale diamond

    Amit Banerjee;Daniel Bernoulli;Hongti Zhang;Muk Fung Yuen

  • Cytoskeletal dynamics of human erythrocyte

    Ju Li;George Lykotrafitis;Ming Dao;Subra Suresh

Frequent Co-Authors

George Em Karniadakis
George Em Karniadakis Brown University
Chwee Teck Lim
Chwee Teck Lim National University of Singapore
Lei Lu
Lei Lu Chinese Academy of Sciences
Evan Ma
Evan Ma Xi'an Jiaotong University
Peter R. Preiser
Peter R. Preiser Nanyang Technological University
Tony Jun Huang
Tony Jun Huang Duke University
Jian Lu
Jian Lu City University of Hong Kong

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Ming Dao

Trending Scientists

Recently Published Articles