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
- Metabolism, Diabetes, and Cancer 1
- Sphingolipid Metabolism and Signaling 1
- Surgery 5
- Cholesterol and Lipid Metabolism 5
- Pancreatic function and diabetes 1
- Co-authors
- Theodore Mazzone (5 shared papers)Srijana Ranjit (1 shared paper)Anil Chawla (1 shared paper)Richard A. Perugini (1 shared paper)Sarah M. Nicoloro (1 shared paper)Juerg Straubhaar (1 shared paper)Vishwajeet Puri (1 shared paper)My Chouinard (1 shared paper)
- Journals
- Journal of Lipid Research (3 papers)Drug Metabolism and Disposition (2 papers)Xenobiotica (1 paper)Journal of Biological Chemistry (1 paper)Arteriosclerosis Thrombosis and Vascular Biology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Chen-Yi Lin
11 papers receiving 605 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 154
- Physiology 240
- Cancer Research 86
- Surgery 222
- Endocrinology, Diabetes and Metabolism 71
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 22 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 | 316 | |
| 2 | 1999 | 102 | |
| 3 | 2001 | 59 | |
| 4 | 1977 | 34 | |
| 5 | 1997 | 28 | |
| 6 | 2001 | 28 | |
| 7 | 1972 | 21 | |
| 8 | 1998 | 17 | |
| 9 | 1995 | 13 | |
| 10 | 1984 | 7 | |
| 11 | 2024 | 1 |
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 626 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), Pancreatic function and diabetes (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Chemical Thermodynamics and Molecular Structure (1 paper), Sphingolipid Metabolism and Signaling (1 paper) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Biochemistry (154 citations), Physiology (240 citations), Cancer Research (86 citations), Surgery (222 citations) and Endocrinology, Diabetes and Metabolism (71 citations). Chen-Yi Lin has collaborated with scholars based in United States and China. Frequent co-authors include Theodore Mazzone, Srijana Ranjit, Anil Chawla, Richard A. Perugini, Sarah M. Nicoloro, Juerg Straubhaar, Vishwajeet Puri, My Chouinard, Silvia Corvera and Michael Czech. Their work appears in journals such as Journal of Lipid Research, Drug Metabolism and Disposition, Xenobiotica, Journal of Biological Chemistry and Arteriosclerosis Thrombosis and Vascular Biology.
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.