Shee‐Ping Chen
Impact in
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- Traditional Chinese Medicine Analysis
- Toxicology top 10%
Papers in
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- DNA Repair Mechanisms 1
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- Nuclear Receptors and Signaling 3
- Co-authors
- Shinn‐Zong Lin (11 shared papers)Horng‐Jyh Harn (11 shared papers)Wen-Liang Chang (4 shared papers)Yi-Lin Chen (7 shared papers)Nu‐Man Tsai (3 shared papers)Cheng‐Yoong Pang (6 shared papers)Sheng‐Chun Chiu (5 shared papers)Po-Cheng Lin (6 shared papers)
- Journals
- Clinical Cancer Research (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)Molecular Pharmacology (1 paper)Biochemical Pharmacology (1 paper)BMC Cancer (1 paper)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Shee‐Ping Chen
15 papers receiving 590 citations
Peers
Comparison fields: 5 of 76
- Complementary and alternative medicine 63
- Toxicology 23
- Genetics 58
- Cellular and Molecular Neuroscience 105
- Neurology 37
Countries citing papers authored by Shee‐Ping Chen
This map shows the geographic impact of Shee‐Ping 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 Shee‐Ping Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shee‐Ping Chen more than expected).
Fields of papers citing papers by Shee‐Ping Chen
This network shows the impact of papers produced by Shee‐Ping 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 Shee‐Ping Chen. The network helps show where Shee‐Ping Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shee‐Ping 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 | 2005 | 89 | |
| 2 | 2006 | 79 | |
| 3 | 2008 | 73 | |
| 4 | 2008 | 64 | |
| 5 | 2012 | 51 | |
| 6 | 2018 | 45 | |
| 7 | 2011 | 43 | |
| 8 | 2007 | 41 | |
| 9 | 2009 | 31 | |
| 10 | 2011 | 28 | |
| 11 | 2011 | 19 | |
| 12 | 2012 | 15 | |
| 13 | 2009 | 11 | |
| 14 | 2012 | 7 | |
| 15 | 2012 | 5 | |
| 16 | 2015 | 0 |
About Shee‐Ping Chen
Shee‐Ping Chen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Rheumatology and Organic Chemistry, having authored 16 papers that have together received 601 indexed citations. Recurring topics across this work include Macrophage Migration Inhibitory Factor (3 papers), Nuclear Receptors and Signaling (3 papers), GDF15 and Related Biomarkers (2 papers), DNA Repair Mechanisms (1 paper), Neurological disorders and treatments (1 paper), Synthesis of Tetrazole Derivatives (1 paper), Telomeres, Telomerase, and Senescence (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Complementary and alternative medicine (63 citations), Toxicology (23 citations), Genetics (58 citations), Cellular and Molecular Neuroscience (105 citations) and Neurology (37 citations). Shee‐Ping Chen has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Shinn‐Zong Lin, Horng‐Jyh Harn, Wen-Liang Chang, Yi-Lin Chen, Nu‐Man Tsai, Cheng‐Yoong Pang, Sheng‐Chun Chiu, Po-Cheng Lin, Yeung‐Leung Cheng and Chai-Ching Lin. Their work appears in journals such as Clinical Cancer Research, Journal of Pharmacology and Experimental Therapeutics, Molecular Pharmacology, Biochemical Pharmacology and BMC Cancer.
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.