Pei‐Chun Chen
Impact in
- Internal Medicine top 2%
- Nutrition and Dietetics top 2%
- Trace Elements in Health
Papers in
-
- Metabolism, Diabetes, and Cancer 10
- Epidemiology 30
- Liver Disease Diagnosis and Treatment 9
- Co-authors
- Kuo‐Liong Chien (27 shared papers)Fung‐Chang Sung (30 shared papers)Chih-Hung Guo (21 shared papers)Ta‐Chen Su (19 shared papers)Yuan‐Teh Lee (17 shared papers)Hsiu‐Ching Hsu (14 shared papers)Fung-Chang Sung (9 shared papers)Chih-Hsin Muo (6 shared papers)
- Journals
- PLoS ONE (15 papers)Journal of the American Heart Association (6 papers)Medicine (5 papers)Scientific Reports (5 papers)Nutrients (4 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Pei‐Chun Chen
256 papers receiving 6.7k citations
Peers
Comparison fields: 5 of 205
- Internal Medicine 172
- Nutrition and Dietetics 509
- Health, Toxicology and Mutagenesis 422
- Endocrinology, Diabetes and Metabolism 498
- Epidemiology 1.0k
Countries citing papers authored by Pei‐Chun Chen
This map shows the geographic impact of Pei‐Chun 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 Pei‐Chun Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pei‐Chun Chen more than expected).
Fields of papers citing papers by Pei‐Chun Chen
This network shows the impact of papers produced by Pei‐Chun 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 Pei‐Chun Chen. The network helps show where Pei‐Chun Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Pei‐Chun 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 273 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 273 | |
| 2 | 2011 | 252 | |
| 3 | 2010 | 239 | |
| 4 | 2018 | 135 | |
| 5 | 2011 | 124 | |
| 6 | 2011 | 123 | |
| 7 | 2014 | 119 | |
| 8 | 2008 | 119 | |
| 9 | 2008 | 117 | |
| 10 | 2013 | 115 | |
| 11 | 2012 | 113 | |
| 12 | 2002 | 112 | |
| 13 | 2011 | 110 | |
| 14 | 2009 | 107 | |
| 15 | 2011 | 103 | |
| 16 | 2010 | 101 | |
| 17 | 2007 | 99 | |
| 18 | 2006 | 98 | |
| 19 | 2011 | 91 | |
| 20 | 2011 | 90 |
About Pei‐Chun Chen
Pei‐Chun Chen is a scholar working on Molecular Biology, Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine, having authored 273 papers that have together received 6.9k indexed citations. Recurring topics across this work include Algal biology and biofuel production (12 papers), Diabetes Treatment and Management (11 papers), Health disparities and outcomes (11 papers), Metabolism, Diabetes, and Cancer (10 papers), Blood Pressure and Hypertension Studies (10 papers), Heavy Metal Exposure and Toxicity (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers) and Liver Disease Diagnosis and Treatment (9 papers). The work is most often cited by research in Internal Medicine (172 citations), Nutrition and Dietetics (509 citations), Health, Toxicology and Mutagenesis (422 citations), Endocrinology, Diabetes and Metabolism (498 citations) and Epidemiology (1.0k citations). Pei‐Chun Chen has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Kuo‐Liong Chien, Fung‐Chang Sung, Chih-Hung Guo, Ta‐Chen Su, Yuan‐Teh Lee, Hsiu‐Ching Hsu, Fung-Chang Sung, Chih-Hsin Muo, Chih‐Hsin Muo and Yung‐Ming Chen. Their work appears in journals such as PLoS ONE, Journal of the American Heart Association, Medicine, Scientific Reports and Nutrients.
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.