Yu-Wen Lin
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Pathology and Forensic Medicine top 10%
- Co-authors
- Show‐Ling ShyngCharles A. StanleyCourtney MacMullenArupa GangulyShun‐Hua ChenYuk-Ying TungTsung‐Yu ChenChia‐Wei Lin
- Topics
- Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers)Cardiac Ischemia and Reperfusion (4 papers)Pancreatic function and diabetes (4 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismCardiology and Cardiovascular MedicinePathology and Forensic Medicine
- Partner nations
- TaiwanUnited StatesItaly
In The Last Decade
Yu-Wen Lin
17 papers receiving 861 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 364
- Endocrinology, Diabetes and Metabolism 284
- Cardiology and Cardiovascular Medicine 255
- Surgery 241
- Pathology and Forensic Medicine 171
Countries citing papers authored by Yu-Wen Lin
This map shows the geographic impact of Yu-Wen Lin'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 Yu-Wen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Wen Lin more than expected).
Fields of papers citing papers by Yu-Wen Lin
This network shows the impact of papers produced by Yu-Wen Lin. 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 Yu-Wen Lin. The network helps show where Yu-Wen Lin may publish in the future.
Co-authorship network of co-authors of Yu-Wen Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Wen Lin. A scholar is included among the top collaborators of Yu-Wen Lin 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 Yu-Wen Lin. Yu-Wen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 57 | |
| 3 | 0 | |
| 4 | 18 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 23 | |
| 8 | 68 | |
| 9 | 86 | |
| 10 | 47 | |
| 11 | 150 | |
| 12 | 89 | |
| 13 | 34 | |
| 14 | 14 | |
| 15 | 61 | |
| 16 | 48 | |
| 17 | 82 | |
| 18 | 81 |
About Yu-Wen Lin
Yu-Wen Lin is a scholar working on Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Physiology, having authored 18 papers that have together received 876 indexed citations. Recurring topics across this work include Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers), Cardiac Ischemia and Reperfusion (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (284 citations), Cardiology and Cardiovascular Medicine (255 citations) and Pathology and Forensic Medicine (171 citations). Yu-Wen Lin has collaborated with scholars based in Taiwan, United States and Italy. Frequent co-authors include Show‐Ling Shyng, Charles A. Stanley, Courtney MacMullen, Arupa Ganguly, Shun‐Hua Chen, Yuk-Ying Tung, Tsung‐Yu Chen, Chia‐Wei Lin, Shainn-Wei Wang and Cheryl E. Hanna. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.
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.