Yuan‐Shou Chen
Impact in
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- Neuropeptides and Animal Physiology
- Oncology top 10%
- Peptidase Inhibition and Analysis
Papers in
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- Circular RNAs in diseases 3
- RNA and protein synthesis mechanisms 3
- Genomics and Phylogenetic Studies 2
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- Neuropeptides and Animal Physiology 7
- Co-authors
- Chia‐Hui Chien (5 shared papers)Xin Chen (5 shared papers)Gu‐Gang Chang (2 shared papers)Chi‐Yuan Chou (2 shared papers)Po‐Huang Liang (2 shared papers)Weir‐Torn Jiaang (2 shared papers)Shiow‐Ju Lee (2 shared papers)Richard J. Simpson (2 shared papers)
In The Last Decade
Yuan‐Shou Chen
18 papers receiving 544 citations
Peers
Comparison fields: 5 of 78
- Cellular and Molecular Neuroscience 162
- Oncology 238
- Endocrinology, Diabetes and Metabolism 107
- Cancer Research 90
- Physiology 22
Countries citing papers authored by Yuan‐Shou Chen
This map shows the geographic impact of Yuan‐Shou 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 Yuan‐Shou Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan‐Shou Chen more than expected).
Fields of papers citing papers by Yuan‐Shou Chen
This network shows the impact of papers produced by Yuan‐Shou 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 Yuan‐Shou Chen. The network helps show where Yuan‐Shou Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuan‐Shou 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
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 87 | |
| 2 | 2019 | 85 | |
| 3 | 2004 | 71 | |
| 4 | 2007 | 44 | |
| 5 | 2012 | 43 | |
| 6 | 2006 | 34 | |
| 7 | 1998 | 32 | |
| 8 | 2005 | 30 | |
| 9 | 2004 | 27 | |
| 10 | 2018 | 23 | |
| 11 | 2014 | 21 | |
| 12 | 2019 | 12 | |
| 13 | 2011 | 11 | |
| 14 | 2012 | 9 | |
| 15 | 2018 | 8 | |
| 16 | 2020 | 8 | |
| 17 | 2000 | 3 | |
| 18 | Effects of exogenous hydrogen sulfide on learning and memory of heroin-addictive rats | 2009 | 2 |
| 19 | 2005 | 0 |
About Yuan‐Shou Chen
Yuan‐Shou Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Oncology and Genetics, having authored 19 papers that have together received 550 indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (7 papers), Peptidase Inhibition and Analysis (6 papers), Protease and Inhibitor Mechanisms (4 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Circular RNAs in diseases (3 papers), RNA and protein synthesis mechanisms (3 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (162 citations), Oncology (238 citations), Endocrinology, Diabetes and Metabolism (107 citations), Cancer Research (90 citations) and Physiology (22 citations). Yuan‐Shou Chen has collaborated with scholars based in Taiwan, China and Australia. Frequent co-authors include Chia‐Hui Chien, Xin Chen, Gu‐Gang Chang, Chi‐Yuan Chou, Po‐Huang Liang, Weir‐Torn Jiaang, Shiow‐Ju Lee, Richard J. Simpson, Tsu Hsu and Suresh Mathivanan. Their work appears in journals such as Neurochemical Research, Bioorganic & Medicinal Chemistry Letters, Journal of Biological Chemistry, Journal of Bacteriology and Aging.
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.