Hung‐Yun Lin
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.2%
- Oncology top 2%
- Genetics top 2%
- Cancer Research top 2%
- Co-authors
- Paul J. DavisFaith B. DavisShaker A. MousaAi ShihMary K. LuidensChawnshang ChangHeng-Yuan TangShuyuan Yeh
- Topics
- Thyroid Disorders and Treatments (44 papers)Cell Adhesion Molecules Research (29 papers)Growth Hormone and Insulin-like Growth Factors (22 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Hung‐Yun Lin
189 papers receiving 8.3k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 3.6k
- Endocrinology, Diabetes and Metabolism 3.0k
- Oncology 1.4k
- Genetics 1.1k
- Cancer Research 858
Countries citing papers authored by Hung‐Yun Lin
This map shows the geographic impact of Hung‐Yun 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 Hung‐Yun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hung‐Yun Lin more than expected).
Fields of papers citing papers by Hung‐Yun Lin
This network shows the impact of papers produced by Hung‐Yun 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 Hung‐Yun Lin. The network helps show where Hung‐Yun Lin may publish in the future.
Co-authorship network of co-authors of Hung‐Yun Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Hung‐Yun Lin. A scholar is included among the top collaborators of Hung‐Yun 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 Hung‐Yun Lin. Hung‐Yun 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 | 0 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 16 | |
| 6 | 1 | |
| 7 | 76 | |
| 8 | 11 | |
| 9 | 30 | |
| 10 | 28 | |
| 11 | 28 | |
| 12 | 15 | |
| 13 | 31 | |
| 14 | 38 | |
| 15 | 9 | |
| 16 | 30 | |
| 17 | 119 | |
| 18 | 2 | |
| 19 | 8 | |
| 20 | 3 |
About Hung‐Yun Lin
Hung‐Yun Lin is a scholar working on Immunology and Allergy, Geriatrics and Gerontology and Endocrinology, Diabetes and Metabolism, having authored 192 papers that have together received 8.5k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (44 papers), Cell Adhesion Molecules Research (29 papers) and Growth Hormone and Insulin-like Growth Factors (22 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (3.0k citations), Geriatrics and Gerontology (664 citations) and Immunology and Allergy (817 citations). Hung‐Yun Lin has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Paul J. Davis, Faith B. Davis, Shaker A. Mousa, Ai Shih, Mary K. Luidens, Chawnshang Chang, Heng-Yuan Tang, Shuyuan Yeh, Heng‐Yuan Tang and Leon J. Martino. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental 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.