Shin‐Tai Chen
Impact in
- Genetics top 5%
- Mesenchymal stem cell research
- Virus-based gene therapy research
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
Papers in
-
- TGF-β signaling in diseases 7
- Bone Metabolism and Diseases 5
- Epigenetics and DNA Methylation 4
- Genetics 8
- Mesenchymal stem cell research 7
- Virus-based gene therapy research 6
- Co-authors
- K.‐H. William Lau (19 shared papers)Subburaman Mohan (12 shared papers)Jon E. Wergedal (13 shared papers)David J. Baylink (10 shared papers)Thomas A. Linkhart (5 shared papers)Yousef G. Amaar (7 shared papers)Jiing‐Kuan Yee (3 shared papers)Hon‐Man Liu (6 shared papers)
- Journals
- The Journal of Gene Medicine (5 papers)Journal of Cellular Biochemistry (3 papers)Bone (3 papers)Molecular Therapy (2 papers)Nanotechnology (2 papers)
- Partner nations
- United StatesTaiwanSwitzerland
In The Last Decade
Shin‐Tai Chen
43 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Genetics 186
- Biomaterials 223
- Radiation 96
- Molecular Biology 741
- Biomedical Engineering 363
Countries citing papers authored by Shin‐Tai Chen
This map shows the geographic impact of Shin‐Tai Chen'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 Shin‐Tai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin‐Tai Chen more than expected).
Fields of papers citing papers by Shin‐Tai Chen
This network shows the impact of papers produced by Shin‐Tai Chen. 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 Shin‐Tai Chen. The network helps show where Shin‐Tai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shin‐Tai Chen, 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 194 | |
| 2 | 2002 | 111 | |
| 3 | 1999 | 111 | |
| 4 | 2007 | 101 | |
| 5 | 2008 | 99 | |
| 6 | 2009 | 87 | |
| 7 | 2001 | 69 | |
| 8 | 2003 | 68 | |
| 9 | 2010 | 57 | |
| 10 | 2004 | 52 | |
| 11 | 2007 | 43 | |
| 12 | 2010 | 38 | |
| 13 | 2009 | 37 | |
| 14 | 1984 | 35 | |
| 15 | 2012 | 31 | |
| 16 | 2004 | 30 | |
| 17 | 2010 | 29 | |
| 18 | 2007 | 28 | |
| 19 | 2008 | 26 | |
| 20 | 2009 | 26 |
About Shin‐Tai Chen
Shin‐Tai Chen is a scholar working on Molecular Biology, Genetics, Biomedical Engineering, Genetics and Epidemiology, having authored 43 papers that have together received 1.5k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (7 papers), TGF-β signaling in diseases (7 papers), Virus-based gene therapy research (6 papers), Bone fractures and treatments (6 papers), Nanoparticle-Based Drug Delivery (5 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Bone Metabolism and Diseases (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Genetics (186 citations), Biomaterials (223 citations), Radiation (96 citations), Molecular Biology (741 citations) and Biomedical Engineering (363 citations). Shin‐Tai Chen has collaborated with scholars based in United States, Taiwan and Switzerland. Frequent co-authors include K.‐H. William Lau, Subburaman Mohan, Jon E. Wergedal, David J. Baylink, Thomas A. Linkhart, Yousef G. Amaar, Jiing‐Kuan Yee, Hon‐Man Liu, Weirong Xing and Jong‐Kai Hsiao. Their work appears in journals such as The Journal of Gene Medicine, Journal of Cellular Biochemistry, Bone, Molecular Therapy and Nanotechnology.
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.