Chang‐Shi Chen
Impact in
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
-
- Gut microbiota and health 7
- Histone Deacetylase Inhibitors Research 6
- Protein Degradation and Inhibitors 5
- Aging 19
- Genetics, Aging, and Longevity in Model Organisms 19
- Co-authors
- Ching-Shih Chen (7 shared papers)Ching‐Shih Chen (3 shared papers)Jing‐Ru Weng (2 shared papers)Hsiang‐Yu Lin (2 shared papers)Ping‐Hui Tseng (3 shared papers)Chih-Cheng Yang (4 shared papers)Chung-Wai Shiau (4 shared papers)Samuel K. Kulp (3 shared papers)
- Journals
- PLoS ONE (3 papers)Autophagy (2 papers)Frontiers in Immunology (2 papers)Journal of Biological Chemistry (2 papers)Journal of Medicinal Chemistry (2 papers)
- Partner nations
- TaiwanUnited StatesBulgaria
In The Last Decade
Chang‐Shi Chen
55 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 106
- Aging 257
- Endocrinology 197
- Molecular Biology 1.4k
- Cancer Research 259
- Immunology 239
Countries citing papers authored by Chang‐Shi Chen
This map shows the geographic impact of Chang‐Shi 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 Chang‐Shi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Shi Chen more than expected).
Fields of papers citing papers by Chang‐Shi Chen
This network shows the impact of papers produced by Chang‐Shi 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 Chang‐Shi Chen. The network helps show where Chang‐Shi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chang‐Shi 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 213 | |
| 2 | 2005 | 200 | |
| 3 | 2005 | 192 | |
| 4 | 2014 | 95 | |
| 5 | 2009 | 84 | |
| 6 | 2003 | 80 | |
| 7 | 2013 | 79 | |
| 8 | 2014 | 72 | |
| 9 | 2005 | 70 | |
| 10 | 2013 | 65 | |
| 11 | 2008 | 65 | |
| 12 | 2011 | 64 | |
| 13 | 2006 | 57 | |
| 14 | 2013 | 51 | |
| 15 | 2012 | 51 | |
| 16 | 2004 | 50 | |
| 17 | 2003 | 49 | |
| 18 | 2010 | 49 | |
| 19 | 2016 | 46 | |
| 20 | 2017 | 46 |
About Chang‐Shi Chen
Chang‐Shi Chen is a scholar working on Molecular Biology, Aging, Endocrinology, Ecology and Infectious Diseases, having authored 56 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (19 papers), Escherichia coli research studies (9 papers), Vibrio bacteria research studies (7 papers), Gut microbiota and health (7 papers), Histone Deacetylase Inhibitors Research (6 papers), Protein Degradation and Inhibitors (5 papers), Nanoparticles: synthesis and applications (5 papers) and Aquaculture disease management and microbiota (4 papers). The work is most often cited by research in Aging (257 citations), Endocrinology (197 citations), Molecular Biology (1.4k citations), Cancer Research (259 citations) and Immunology (239 citations). Chang‐Shi Chen has collaborated with scholars based in Taiwan, United States and Bulgaria. Frequent co-authors include Ching-Shih Chen, Ching‐Shih Chen, Jing‐Ru Weng, Hsiang‐Yu Lin, Ping‐Hui Tseng, Chih-Cheng Yang, Chung-Wai Shiau, Samuel K. Kulp, Raffi V. Aroian and Wen‐Chien Ko. Their work appears in journals such as PLoS ONE, Autophagy, Frontiers in Immunology, Journal of Biological Chemistry and Journal of Medicinal Chemistry.
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.