Minghui Tang
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Bone Tissue Engineering Materials 7
- Microfluidic and Capillary Electrophoresis Applications 5
- Microfluidic and Bio-sensing Technologies 5
- Surgery 11
- Tissue Engineering and Regenerative Medicine 6
- Surgical Simulation and Training 3
- Co-authors
- Hockin H.K. Xu (7 shared papers)Michael D. Weir (6 shared papers)Ho‐Pui Ho (7 shared papers)Wenchuan Chen (5 shared papers)Adel Alhadlaq (1 shared paper)Siu‐Kai Kong (4 shared papers)Jeremy J. Mao (1 shared paper)Guanghui Wang (6 shared papers)
In The Last Decade
Minghui Tang
58 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 121
- Genetics 187
- Biomaterials 197
- Biomedical Engineering 597
- Urology 53
- Surgery 253
Countries citing papers authored by Minghui Tang
This map shows the geographic impact of Minghui Tang'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 Minghui Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minghui Tang more than expected).
Fields of papers citing papers by Minghui Tang
This network shows the impact of papers produced by Minghui Tang. 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 Minghui Tang. The network helps show where Minghui Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Minghui Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 153 | |
| 2 | 2016 | 151 | |
| 3 | 2008 | 99 | |
| 4 | 2013 | 87 | |
| 5 | 2012 | 82 | |
| 6 | 2009 | 63 | |
| 7 | 2011 | 56 | |
| 8 | 2016 | 56 | |
| 9 | 2018 | 55 | |
| 10 | 2012 | 55 | |
| 11 | 2013 | 42 | |
| 12 | 2010 | 37 | |
| 13 | 2013 | 32 | |
| 14 | 2022 | 29 | |
| 15 | 2014 | 24 | |
| 16 | 2021 | 21 | |
| 17 | 2016 | 20 | |
| 18 | 2018 | 18 | |
| 19 | 2020 | 17 | |
| 20 | 2022 | 16 |
About Minghui Tang
Minghui Tang is a scholar working on Biomedical Engineering, Surgery, Electrical and Electronic Engineering, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 60 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bone Tissue Engineering Materials (7 papers), Mesenchymal stem cell research (6 papers), Tissue Engineering and Regenerative Medicine (6 papers), Electrowetting and Microfluidic Technologies (5 papers), Microfluidic and Capillary Electrophoresis Applications (5 papers), Microfluidic and Bio-sensing Technologies (5 papers), Pharmacological Effects of Natural Compounds (4 papers) and Surgical Simulation and Training (3 papers). The work is most often cited by research in Genetics (187 citations), Biomaterials (197 citations), Biomedical Engineering (597 citations), Urology (53 citations) and Surgery (253 citations). Minghui Tang has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Hockin H.K. Xu, Michael D. Weir, Ho‐Pui Ho, Wenchuan Chen, Adel Alhadlaq, Siu‐Kai Kong, Jeremy J. Mao, Guanghui Wang, WahWah Thein-Han and Jun Liu. Their work appears in journals such as Lab on a Chip, Tissue Engineering Part A, Applied Sciences, Pharmacognosy Magazine and Journal of Clinical Immunology.
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.