Wen-Cheng Li
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Physiology
- Cardiology and Cardiovascular Medicine
- Co-authors
- I‐Chuan ChenJau‐Yuan ChenSong-Seng LokeKuang‐Yu HsiaoYu-Chung TsaoShih‐Hao WangI‐Shiang TzengHsueh‐Wen Chang
- Topics
- Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers)Adipokines, Inflammation, and Metabolic Diseases (8 papers)Chronic Kidney Disease and Diabetes (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismPublic Health, Environmental and Occupational HealthPhysiology
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Wen-Cheng Li
35 papers receiving 542 citations
Peers
Comparison fields: 5 of 94
- Public Health, Environmental and Occupational Health 174
- Endocrinology, Diabetes and Metabolism 155
- Epidemiology 135
- Physiology 132
- Cardiology and Cardiovascular Medicine 102
Countries citing papers authored by Wen-Cheng Li
This map shows the geographic impact of Wen-Cheng Li'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 Wen-Cheng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen-Cheng Li more than expected).
Fields of papers citing papers by Wen-Cheng Li
This network shows the impact of papers produced by Wen-Cheng Li. 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 Wen-Cheng Li. The network helps show where Wen-Cheng Li may publish in the future.
Co-authorship network of co-authors of Wen-Cheng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Cheng Li. A scholar is included among the top collaborators of Wen-Cheng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wen-Cheng Li. Wen-Cheng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 8 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 13 | |
| 8 | 17 | |
| 9 | 39 | |
| 10 | 19 | |
| 11 | 5 | |
| 12 | 8 | |
| 13 | 35 | |
| 14 | 41 | |
| 15 | 7 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 43 | |
| 20 | 125 |
About Wen-Cheng Li
Wen-Cheng Li is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism and Emergency Medicine, having authored 38 papers that have together received 559 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Adipokines, Inflammation, and Metabolic Diseases (8 papers) and Chronic Kidney Disease and Diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (155 citations), Public Health, Environmental and Occupational Health (174 citations) and Physiology (132 citations). Wen-Cheng Li has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include I‐Chuan Chen, Jau‐Yuan Chen, Song-Seng Loke, Kuang‐Yu Hsiao, Yu-Chung Tsao, Shih‐Hao Wang, I‐Shiang Tzeng, Hsueh‐Wen Chang, Hai‐Hua Chuang and Kuan-Han Wu. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.
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.