Chi-Pang Wen
Impact in
- Nephrology top 0.5%
- Chronic Kidney Disease and Diabetes
- Dialysis and Renal Disease Management
- Renal Diseases and Glomerulopathies
-
- Diabetes Treatment and Management
Papers in
- Co-authors
- Marcello Tonelli (2 shared papers)Kunihiro Matsushita (2 shared papers)Mark Woodward (2 shared papers)Josef Coresh (2 shared papers)Hiddo J.L. Heerspink (1 shared paper)Kazumasa Yamagishi (1 shared paper)Robert G. Nelson (1 shared paper)Brian J. Lee (1 shared paper)
- Journals
- The Lancet (2 papers)JAMA (1 paper)Clinical Cancer Research (1 paper)Tobacco Control (1 paper)Medicine (1 paper)
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Chi-Pang Wen
14 papers receiving 2.4k citations
Chi-Pang Wen's Hit Papers
Peers
Comparison fields: 5 of 124
- Nephrology 932
- Endocrinology, Diabetes and Metabolism 466
- Cardiology and Cardiovascular Medicine 540
- Periodontics 108
- Pulmonary and Respiratory Medicine 463
Countries citing papers authored by Chi-Pang Wen
This map shows the geographic impact of Chi-Pang Wen'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 Chi-Pang Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi-Pang Wen more than expected).
Fields of papers citing papers by Chi-Pang Wen
This network shows the impact of papers produced by Chi-Pang Wen. 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 Chi-Pang Wen. The network helps show where Chi-Pang Wen may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi-Pang Wen, 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 | Associations of kidney disease measures with mortality and end-stage renal disease in individuals with and without diabetes: a meta-analysis Hit paper breakdown → | 2012 | 976 |
| 2 | Comparison of Risk Prediction Using the CKD-EPI Equation and the MDRD Study Equation for Estimated Glomerular Filtration Rate Hit paper breakdown → | 2012 | 740 |
| 3 | 2007 | 175 | |
| 4 | 2017 | 146 | |
| 5 | 2007 | 133 | |
| 6 | 2004 | 63 | |
| 7 | 2010 | 62 | |
| 8 | 2015 | 52 | |
| 9 | 2014 | 50 | |
| 10 | 2019 | 38 | |
| 11 | 2015 | 29 | |
| 12 | 2016 | 22 | |
| 13 | 2011 | 18 | |
| 14 | 2018 | 14 |
About Chi-Pang Wen
Chi-Pang Wen is a scholar working on Public Health, Environmental and Occupational Health, Epidemiology, Surgery, Nephrology and Health, having authored 14 papers that have together received 2.5k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (2 papers), Dialysis and Renal Disease Management (2 papers), Chronic Kidney Disease and Diabetes (2 papers), Health disparities and outcomes (2 papers), Air Quality and Health Impacts (2 papers), Hemoglobinopathies and Related Disorders (1 paper), Nutrition, Genetics, and Disease (1 paper) and Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper). The work is most often cited by research in Nephrology (932 citations), Endocrinology, Diabetes and Metabolism (466 citations), Cardiology and Cardiovascular Medicine (540 citations), Periodontics (108 citations) and Pulmonary and Respiratory Medicine (463 citations). Chi-Pang Wen has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Marcello Tonelli, Kunihiro Matsushita, Mark Woodward, Josef Coresh, Hiddo J.L. Heerspink, Kazumasa Yamagishi, Robert G. Nelson, Brian J. Lee, Joseph A. Vassalotti and Toshimi Sairenchi. Their work appears in journals such as The Lancet, JAMA, Clinical Cancer Research, Tobacco Control and Medicine.
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.