Chen-Yi Lin
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Physiology top 10%
- Adipose Tissue and Metabolism
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Surgery 5
- Cholesterol and Lipid Metabolism 5
- Co-authors
- Theodore Mazzone (5 shared papers)Vishwajeet Puri (1 shared paper)Srijana Ranjit (1 shared paper)Sarah M. Nicoloro (1 shared paper)Anil Chawla (1 shared paper)Silvia Corvera (1 shared paper)Richard A. Perugini (1 shared paper)Juerg Straubhaar (1 shared paper)
- Journals
- Journal of Lipid Research (3 papers)Drug Metabolism and Disposition (2 papers)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)Xenobiotica (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Chen-Yi Lin
11 papers receiving 620 citations
Peers
Comparison fields: 5 of 71
- Biochemistry 142
- Physiology 199
- Cancer Research 76
- Surgery 207
- Endocrinology, Diabetes and Metabolism 66
Countries citing papers authored by Chen-Yi Lin
This map shows the geographic impact of Chen-Yi 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 Chen-Yi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yi Lin more than expected).
Fields of papers citing papers by Chen-Yi Lin
This network shows the impact of papers produced by Chen-Yi 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 Chen-Yi Lin. The network helps show where Chen-Yi Lin may publish in the future.
Co-authors
The 23 scholars most cited alongside Chen-Yi Lin, 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 | 2008 | 327 | |
| 2 | 1999 | 102 | |
| 3 | 2001 | 59 | |
| 4 | 1977 | 38 | |
| 5 | 1997 | 28 | |
| 6 | 2001 | 28 | |
| 7 | 1972 | 22 | |
| 8 | 1998 | 18 | |
| 9 | 1995 | 16 | |
| 10 | 1984 | 7 | |
| 11 | 2024 | 2 |
About Chen-Yi Lin
Chen-Yi Lin is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Spectroscopy, having authored 11 papers that have together received 647 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Nitric Oxide and Endothelin Effects (1 paper), Mass Spectrometry Techniques and Applications (1 paper), Hormonal and reproductive studies (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Pharmacological Effects and Assays (1 paper). The work is most often cited by research in Biochemistry (142 citations), Physiology (199 citations), Cancer Research (76 citations), Surgery (207 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Chen-Yi Lin has collaborated with scholars based in United States and China. Frequent co-authors include Theodore Mazzone, Vishwajeet Puri, Srijana Ranjit, Sarah M. Nicoloro, Anil Chawla, Silvia Corvera, Richard A. Perugini, Juerg Straubhaar, Michael Czech and Alison Burkart. Their work appears in journals such as Journal of Lipid Research, Drug Metabolism and Disposition, Arteriosclerosis Thrombosis and Vascular Biology, Xenobiotica and Proceedings of the National Academy of 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.