Zheng‐Wei Chen
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Cardiology and Cardiovascular Medicine top 10%
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Yen‐Hung LinVin‐Cent WuChi‐Sheng HungChien‐Ting PanCheng‐Hsuan TsaiYi‐Yao ChangChe‐Wei LiaoChia‐Hung Chou
- Topics
- Hormonal Regulation and Hypertension (32 papers)Cardiovascular, Neuropeptides, and Oxidative Stress Research (19 papers)Adrenal and Paraganglionic Tumors (19 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismInternational Journal of Molecular Sciences
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Zheng‐Wei Chen
51 papers receiving 586 citations
Peers
Comparison fields: 5 of 78
- Endocrinology, Diabetes and Metabolism 363
- Surgery 294
- Cardiology and Cardiovascular Medicine 201
- Pulmonary and Respiratory Medicine 65
- Molecular Biology 63
Countries citing papers authored by Zheng‐Wei Chen
This map shows the geographic impact of Zheng‐Wei 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 Zheng‐Wei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zheng‐Wei Chen more than expected).
Fields of papers citing papers by Zheng‐Wei Chen
This network shows the impact of papers produced by Zheng‐Wei 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 Zheng‐Wei Chen. The network helps show where Zheng‐Wei Chen may publish in the future.
Co-authorship network of co-authors of Zheng‐Wei Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Zheng‐Wei Chen. A scholar is included among the top collaborators of Zheng‐Wei Chen 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 Zheng‐Wei Chen. Zheng‐Wei Chen 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 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 19 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 6 | |
| 16 | 14 | |
| 17 | 2 | |
| 18 | 20 | |
| 19 | 25 | |
| 20 | 37 |
About Zheng‐Wei Chen
Zheng‐Wei Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 59 papers that have together received 590 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (32 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (19 papers) and Adrenal and Paraganglionic Tumors (19 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (363 citations), Cardiology and Cardiovascular Medicine (201 citations) and Surgery (294 citations). Zheng‐Wei Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Yen‐Hung Lin, Vin‐Cent Wu, Chi‐Sheng Hung, Chien‐Ting Pan, Cheng‐Hsuan Tsai, Yi‐Yao Chang, Che‐Wei Liao, Chia‐Hung Chou, Chin‐Chen Chang and Bo‐Ching Lee. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism 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.