Yen‐Ting Chen
Impact in
- Toxicology top 5%
- Urology top 5%
- Periodontal Regeneration and Treatments
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 8
- Protein Tyrosine Phosphatases 4
- Melanoma and MAPK Pathways 3
- Co-authors
- Christopher T. Seto (4 shared papers)James H. McKerrow (4 shared papers)William Roush (4 shared papers)Shan‐Ling Hung (5 shared papers)Michael D. Cameron (7 shared papers)Elizabeth Hansell (3 shared papers)Shengai Li (3 shared papers)Thomas D. Bannister (6 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (6 papers)Journal of Medicinal Chemistry (4 papers)PLoS ONE (3 papers)Biochemical Engineering Journal (1 paper)Medicine & Science in Sports & Exercise (1 paper)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Yen‐Ting Chen
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 140
- Toxicology 52
- Urology 62
- Endocrinology 51
- Molecular Biology 508
- Organic Chemistry 202
Countries citing papers authored by Yen‐Ting Chen
This map shows the geographic impact of Yen‐Ting 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 Yen‐Ting Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Ting Chen more than expected).
Fields of papers citing papers by Yen‐Ting Chen
This network shows the impact of papers produced by Yen‐Ting 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 Yen‐Ting Chen. The network helps show where Yen‐Ting Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Yen‐Ting 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 86 | |
| 2 | 2010 | 72 | |
| 3 | 2010 | 69 | |
| 4 | 2014 | 57 | |
| 5 | 2007 | 56 | |
| 6 | 2018 | 56 | |
| 7 | 2002 | 55 | |
| 8 | 2010 | 52 | |
| 9 | 2010 | 52 | |
| 10 | 2015 | 50 | |
| 11 | 2018 | 47 | |
| 12 | 2008 | 45 | |
| 13 | 2008 | 45 | |
| 14 | 2014 | 44 | |
| 15 | 2003 | 42 | |
| 16 | 2010 | 39 | |
| 17 | 2008 | 37 | |
| 18 | 2013 | 35 | |
| 19 | 2022 | 32 | |
| 20 | 2008 | 31 |
About Yen‐Ting Chen
Yen‐Ting Chen is a scholar working on Molecular Biology, Organic Chemistry, Immunology, Biomedical Engineering and Pharmacology, having authored 67 papers that have together received 1.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (8 papers), Protein Tyrosine Phosphatases (4 papers), Periodontal Regeneration and Treatments (4 papers), Muscle activation and electromyography studies (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), melanin and skin pigmentation (3 papers), Galectins and Cancer Biology (3 papers) and Melanoma and MAPK Pathways (3 papers). The work is most often cited by research in Toxicology (52 citations), Urology (62 citations), Endocrinology (51 citations), Molecular Biology (508 citations) and Organic Chemistry (202 citations). Yen‐Ting Chen has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Christopher T. Seto, James H. McKerrow, William Roush, Shan‐Ling Hung, Michael D. Cameron, Elizabeth Hansell, Shengai Li, Thomas D. Bannister, Thomas Schröter and Philip V. LoGrasso. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, PLoS ONE, Biochemical Engineering Journal and Medicine & Science in Sports & Exercise.
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.