Ming-Jay Chow
Impact in
- Biomedical Engineering top 10%
- Elasticity and Material Modeling
- Biomaterials top 10%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Elasticity and Material Modeling 5
- Microfluidic and Bio-sensing Technologies 1
-
- Aortic aneurysm repair treatments 5
- Co-authors
- Yanhang Zhang (9 shared papers)Raphaël Turcotte (3 shared papers)Charles P. Lin (1 shared paper)Qian Nataly Chen (1 shared paper)Jiangyu Li (1 shared paper)Yuanming Liu (1 shared paper)Shahrokh Zeinali‐Davarani (2 shared papers)Bin Xu (1 shared paper)
- Journals
- Journal of Biomechanical Engineering (2 papers)Annals of Biomedical Engineering (1 paper)Biomechanics and Modeling in Mechanobiology (1 paper)Journal of Surgical Research (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesSouth Korea
In The Last Decade
Ming-Jay Chow
9 papers receiving 643 citations
Peers
Comparison fields: 5 of 88
- Biomedical Engineering 389
- Biomaterials 100
- Genetics 141
- Pulmonary and Respiratory Medicine 160
- Cardiology and Cardiovascular Medicine 100
Countries citing papers authored by Ming-Jay Chow
This map shows the geographic impact of Ming-Jay Chow'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-Jay Chow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Jay Chow more than expected).
Fields of papers citing papers by Ming-Jay Chow
This network shows the impact of papers produced by Ming-Jay Chow. 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-Jay Chow. The network helps show where Ming-Jay Chow may publish in the future.
Co-authors
The 15 scholars most cited alongside Ming-Jay Chow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 165 | |
| 2 | 2012 | 148 | |
| 3 | 2010 | 99 | |
| 4 | 2011 | 64 | |
| 5 | 2013 | 54 | |
| 6 | 2015 | 51 | |
| 7 | 2012 | 42 | |
| 8 | 2013 | 18 | |
| 9 | 2011 | 5 |
About Ming-Jay Chow
Ming-Jay Chow is a scholar working on Biomedical Engineering, Pulmonary and Respiratory Medicine, Genetics, Surgery and Biomaterials, having authored 9 papers that have together received 646 indexed citations. Recurring topics across this work include Elasticity and Material Modeling (5 papers), Aortic aneurysm repair treatments (5 papers), Connective tissue disorders research (4 papers), Coronary Interventions and Diagnostics (2 papers), Collagen: Extraction and Characterization (2 papers), Microfluidic and Bio-sensing Technologies (1 paper), Tribology and Lubrication Engineering (1 paper) and Congenital Heart Disease Studies (1 paper). The work is most often cited by research in Biomedical Engineering (389 citations), Biomaterials (100 citations), Genetics (141 citations), Pulmonary and Respiratory Medicine (160 citations) and Cardiology and Cardiovascular Medicine (100 citations). Ming-Jay Chow has collaborated with scholars based in United States and South Korea. Frequent co-authors include Yanhang Zhang, Raphaël Turcotte, Charles P. Lin, Qian Nataly Chen, Jiangyu Li, Yuanming Liu, Shahrokh Zeinali‐Davarani, Bin Xu, Victor M. Johnson and Yunjie Wang. Their work appears in journals such as Journal of Biomechanical Engineering, Annals of Biomedical Engineering, Biomechanics and Modeling in Mechanobiology, Journal of Surgical Research and Physical Review Letters.
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.