Ming Dao

25.4k total citations · 15 hit papers
192 papers, 20.2k citations indexed

About

Ming Dao is a scholar working on Materials Chemistry, Mechanical Engineering and Physiology. According to data from OpenAlex, Ming Dao has authored 192 papers receiving a total of 20.2k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Materials Chemistry, 59 papers in Mechanical Engineering and 52 papers in Physiology. Recurrent topics in Ming Dao's work include Erythrocyte Function and Pathophysiology (45 papers), Blood properties and coagulation (43 papers) and Microstructure and mechanical properties (39 papers). Ming Dao is often cited by papers focused on Erythrocyte Function and Pathophysiology (45 papers), Blood properties and coagulation (43 papers) and Microstructure and mechanical properties (39 papers). Ming Dao collaborates with scholars based in United States, Singapore and China. Ming Dao's co-authors include S. Suresh, Subra Suresh, Lei Lu, Chwee Teck Lim, Nuwong Chollacoop, R.J. Asaro, Ju Li, Subra Suresh, George Em Karniadakis and T. A. Venkatesh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ming Dao

191 papers receiving 19.7k citations

Hit Papers

Akkermansia muciniphila and improved ... 2001 2026 2009 2017 2015 2001 2007 2017 2004 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Akkermansia muciniphila and improved metabolic health during a dietary intervention in obesity: relationship with gut microbiome richness and ecology
    2015 1.4k citations Ming Dao et al. profile →
  2. Computational modeling of the forward and reverse problems in instrumented sharp indentation
    2001 1.2k citations Ming Dao, T. A. Venkatesh et al. profile →
  3. Toward a quantitative understanding of mechanical behavior of nanocrystalline metals
    2007 966 citations Ming Dao et al. profile →
  4. Isolation of exosomes from whole blood by integrating acoustics and microfluidics
    2017 767 citations David Quinn, Ming Dao et al. Proceedings of the National Academy of Sciences profile →
  5. Connections between single-cell biomechanics and human disease states: gastrointestinal cancer and malaria
    2004 652 citations Ming Dao, Chwee Teck Lim et al. profile →
  6. Acoustic separation of circulating tumor cells
    2015 635 citations Zhangli Peng, Ming Dao et al. Proceedings of the National Academy of Sciences profile →
  7. Mechanics of the human red blood cell deformed by optical tweezers
    2003 617 citations Ming Dao, Chwee Teck Lim et al. profile →
  8. Nano-sized twins induce high rate sensitivity of flow stress in pure copper
    2005 598 citations Ming Dao et al. profile →
  9. Cold spray coating: review of material systems and future perspectives
    2014 590 citations Ming Dao et al. profile →
  10. Some critical experiments on the strain-rate sensitivity of nanocrystalline nickel
    2003 484 citations Ming Dao et al. profile →
  11. Three-dimensional manipulation of single cells using surface acoustic waves
    2016 481 citations Feng Guo, Ming Dao et al. Proceedings of the National Academy of Sciences profile →
  12. Strength, strain-rate sensitivity and ductility of copper with nanoscale twins
    2006 461 citations Ming Dao et al. profile →
  13. Cell separation using tilted-angle standing surface acoustic waves
    2014 383 citations Zhangli Peng, Ming Dao et al. Proceedings of the National Academy of Sciences profile →
  14. Extraction of mechanical properties of materials through deep learning from instrumented indentation
    2020 242 citations Lu Lu, Ming Dao et al. Proceedings of the National Academy of Sciences profile →
  15. Analyses of internal structures and defects in materials using physics-informed neural networks
    2022 221 citations Ming Dao, George Em Karniadakis et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ming Dao United States 68 5.9k 5.8k 5.6k 4.6k 3.1k 192 20.2k
Gang Bao United States 82 5.3k 0.9× 1.8k 0.3× 7.1k 1.3× 2.3k 0.5× 1.1k 0.4× 332 24.5k
Subra Suresh United States 43 3.3k 0.6× 2.3k 0.4× 3.7k 0.7× 2.2k 0.5× 923 0.3× 61 9.7k
Chwee Teck Lim Singapore 105 6.1k 1.0× 1.8k 0.3× 21.5k 3.8× 1.8k 0.4× 2.0k 0.6× 578 43.9k
S. Suresh United States 84 14.5k 2.5× 17.7k 3.0× 5.2k 0.9× 17.3k 3.8× 1.2k 0.4× 289 35.3k
Gareth H. McKinley United States 98 6.7k 1.1× 3.4k 0.6× 10.6k 1.9× 4.4k 1.0× 267 0.1× 415 36.7k
Howard A. Stone United States 113 9.4k 1.6× 5.4k 0.9× 30.9k 5.5× 2.0k 0.4× 886 0.3× 767 57.8k
Y. C. Fung United States 71 1.1k 0.2× 2.5k 0.4× 12.7k 2.2× 3.3k 0.7× 1.5k 0.5× 236 30.2k
Tian Jian Lu China 71 3.0k 0.5× 7.9k 1.4× 8.5k 1.5× 2.6k 0.6× 231 0.1× 430 19.3k
Yaming Wang China 70 4.6k 0.8× 2.6k 0.4× 2.7k 0.5× 1.7k 0.4× 2.3k 0.7× 477 19.9k
Mary C. Boyce United States 77 4.9k 0.8× 6.2k 1.1× 9.0k 1.6× 7.1k 1.5× 193 0.1× 269 23.7k

Countries citing papers authored by Ming Dao

Since Specialization
Citations

This map shows the geographic impact of Ming Dao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Dao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Dao more than expected).

Fields of papers citing papers by Ming Dao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming Dao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Dao. The network helps show where Ming Dao may publish in the future.

Co-authorship network of co-authors of Ming Dao

This figure shows the co-authorship network connecting the top 25 collaborators of Ming Dao. A scholar is included among the top collaborators of Ming Dao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming Dao. Ming Dao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Guansheng, Papa Alioune Ndour, Mélanie Franco, et al.. (2024). Red blood cell passage through deformable interendothelial slits in the spleen: Insights into splenic filtration and hemodynamics. Computers in Biology and Medicine. 182. 109198–109198. 3 indexed citations
2.
Tay, Hui Min, Fang Kong, Wei Wang, et al.. (2024). High-Throughput Microfluidic Extraction of Platelet-free Plasma for MicroRNA and Extracellular Vesicle Analysis. ACS Nano. 18(8). 6623–6637. 11 indexed citations
3.
Xiong, Ying, Yuhang Ma, Yunshu Lu, et al.. (2023). High-throughput single-cell assay for precise measurement of the intrinsic mechanical properties and shape characteristics of red blood cells. Lab on a Chip. 24(2). 305–316. 4 indexed citations
4.
Venkatesh, T. A., et al.. (2023). Modeling Fretting Wear Resistance and Shakedown of Metallic Materials with Graded Nanostructured Surfaces. Nanomaterials. 13(10). 1584–1584. 4 indexed citations
5.
Ao, Zheng, Hongwei Cai, Zhuhao Wu, et al.. (2022). Microfluidics guided by deep learning for cancer immunotherapy screening. Proceedings of the National Academy of Sciences. 119(46). e2214569119–e2214569119. 48 indexed citations
6.
Qiang, Yuhao, Jia Liu, Ming Dao, & E. Du. (2021). In vitro assay for single-cell characterization of impaired deformability in red blood cells under recurrent episodes of hypoxia. Lab on a Chip. 21(18). 3458–3470. 33 indexed citations
7.
Reichert, Steffen, et al.. (2021). Fish-inspired flexible protective material systems with anisotropic bending stiffness. Communications Materials. 2(1). 16 indexed citations
8.
Zheng, Fuyin, et al.. (2021). Patient‐Specific Organoid and Organ‐on‐a‐Chip: 3D Cell‐Culture Meets 3D Printing and Numerical Simulation. Advanced Biology. 5(6). e2000024–e2000024. 59 indexed citations
9.
Tay, Hui Min, Xiaohan Xu, Fang Kong, et al.. (2021). Direct isolation of circulating extracellular vesicles from blood for vascular risk profiling in type 2 diabetes mellitus. Lab on a Chip. 21(13). 2511–2523. 53 indexed citations
10.
Shi, Zhe, Ming Dao, Evgenii Tsymbalov, et al.. (2020). Metallization of diamond. Proceedings of the National Academy of Sciences. 117(40). 24634–24639. 35 indexed citations
11.
Lu, Lu, Ming Dao, Punit Kumar, et al.. (2020). Extraction of mechanical properties of materials through deep learning from instrumented indentation. Proceedings of the National Academy of Sciences. 117(13). 7052–7062. 242 indexed citations breakdown →
12.
Qiang, Yuhao, Jia Liu, Ming Dao, Subra Suresh, & E Du. (2019). Mechanical fatigue of human red blood cells. Proceedings of the National Academy of Sciences. 116(40). 19828–19834. 55 indexed citations
13.
Zhang, Rou, Rajesh Chandramohanadas, Chwee Teck Lim, & Ming Dao. (2018). Febrile Temperature Elevates the Expression of Phosphatidylserine on Plasmodium falciparum (FCR3CSA) Infected Red Blood Cell Surface Leading to Increased Cytoadhesion. Scientific Reports. 8(1). 15022–15022. 11 indexed citations
14.
Banerjee, Amit, Daniel Bernoulli, Hongti Zhang, et al.. (2018). Ultralarge elastic deformation of nanoscale diamond. Science. 360(6386). 300–302. 259 indexed citations
15.
Lu, Lu, Xuejin Li, Pierre Buffet, et al.. (2018). Mechanics of diseased red blood cells in human spleen and consequences for hereditary blood disorders. Proceedings of the National Academy of Sciences. 115(38). 9574–9579. 101 indexed citations
16.
Liu, Jiabin, Linli Zhu, Ling Li, et al.. (2018). Nature-Inspired Hierarchical Steels. Scientific Reports. 8(1). 5088–5088. 62 indexed citations
17.
Bernoulli, Daniel, Shan Cao, Jian Lü, & Ming Dao. (2018). Enhanced repeated frictional sliding properties in 304 stainless steel with a gradient nanostructured surface. Surface and Coatings Technology. 339. 14–19. 20 indexed citations
18.
Zhang, Rou, Zhangli Peng, Andreas Undisz, et al.. (2012). Host cell deformability is linked to transmission in the human malaria parasite Plasmodium falciparum. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 90 indexed citations
19.
Quinn, David, Igor V. Pivkin, Sophie Y. Wong, et al.. (2010). Combined Simulation and Experimental Study of Large Deformation of Red Blood Cells in Microfluidic Systems. DSpace@MIT (Massachusetts Institute of Technology).
20.
Dao, Ming, et al.. (2005). Detecting the Transition of Creep Rate-Controlling Process in Al-Mg Solid-Solution Alloy through Instrumented Indentation. Journal of the Japan Institute of Metals and Materials. 69(4). 348–355. 3 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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