Shih‐Ming Chen
Impact in
- Pharmacology top 5%
- Drug-Induced Hepatotoxicity and Protection
Papers in
-
- Nephrotoxicity and Medicinal Plants 11
- Nephrology 10
- Chronic Kidney Disease and Diabetes 4
- Renal Diseases and Glomerulopathies 4
- Co-authors
- Jen‐Ai Lee (27 shared papers)Ming‐Chia Lee (12 shared papers)Hsiang‐Yin Chen (3 shared papers)Ching‐Kuo Lee (1 shared paper)Noriko Sato (2 shared papers)Nobunori Satoh (2 shared papers)Shiro Ueda (2 shared papers)Jann‐Yuan Wang (5 shared papers)
- Journals
- Biomedical Chromatography (7 papers)PLoS ONE (4 papers)Journal of Affective Disorders (3 papers)Journal of Pharmaceutical and Biomedical Analysis (3 papers)General Hospital Psychiatry (2 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Shih‐Ming Chen
47 papers receiving 874 citations
Peers
Comparison fields: 5 of 117
- Pharmacology 150
- Applied Microbiology and Biotechnology 31
- Nephrology 112
- Clinical Biochemistry 70
- Analytical Chemistry 96
Countries citing papers authored by Shih‐Ming Chen
This map shows the geographic impact of Shih‐Ming 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 Shih‐Ming Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih‐Ming Chen more than expected).
Fields of papers citing papers by Shih‐Ming Chen
This network shows the impact of papers produced by Shih‐Ming 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 Shih‐Ming Chen. The network helps show where Shih‐Ming Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shih‐Ming 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 118 | |
| 2 | 2008 | 68 | |
| 3 | 2006 | 48 | |
| 4 | 2017 | 40 | |
| 5 | 2004 | 39 | |
| 6 | 2014 | 37 | |
| 7 | 2005 | 37 | |
| 8 | 2012 | 37 | |
| 9 | 2018 | 35 | |
| 10 | 2019 | 34 | |
| 11 | 2015 | 33 | |
| 12 | 2007 | 30 | |
| 13 | 2015 | 26 | |
| 14 | 2010 | 26 | |
| 15 | 2014 | 20 | |
| 16 | 2016 | 18 | |
| 17 | 2002 | 18 | |
| 18 | 2020 | 18 | |
| 19 | 2015 | 16 | |
| 20 | 2017 | 16 |
About Shih‐Ming Chen
Shih‐Ming Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Nephrology, Molecular Biology, Pharmacology and Pharmacology, having authored 49 papers that have together received 894 indexed citations. Recurring topics across this work include Nephrotoxicity and Medicinal Plants (11 papers), Drug-Induced Hepatotoxicity and Protection (8 papers), Advanced Glycation End Products research (5 papers), Chronic Kidney Disease and Diabetes (4 papers), Heavy Metals in Plants (4 papers), Diabetes Treatment and Management (4 papers), Trace Elements in Health (4 papers) and Renal Diseases and Glomerulopathies (4 papers). The work is most often cited by research in Pharmacology (150 citations), Applied Microbiology and Biotechnology (31 citations), Nephrology (112 citations), Clinical Biochemistry (70 citations) and Analytical Chemistry (96 citations). Shih‐Ming Chen has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Jen‐Ai Lee, Ming‐Chia Lee, Hsiang‐Yin Chen, Ching‐Kuo Lee, Noriko Sato, Nobunori Satoh, Shiro Ueda, Jann‐Yuan Wang, Chih‐Hsin Lee and Daisuke Takahashi. Their work appears in journals such as Biomedical Chromatography, PLoS ONE, Journal of Affective Disorders, Journal of Pharmaceutical and Biomedical Analysis and General Hospital Psychiatry.
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.