C.Y. Yang
Impact in
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- Lipid metabolism and biosynthesis
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Peroxisome Proliferator-Activated Receptors 3
- Machine Learning in Bioinformatics 2
- Surgery 5
- Pancreatic function and diabetes 2
- Lipoproteins and Cardiovascular Health 2
- Cholesterol and Lipid Metabolism 1
- Co-authors
- Henry J. Pownall (3 shared papers)Antonio M. Gotto (3 shared papers)A M Gotto (1 shared paper)Quein Pao (1 shared paper)Roger D. Knapp (1 shared paper)Zhongwei Gu (1 shared paper)Michael F. Rohde (1 shared paper)Wen‐Chin Yang (3 shared papers)
- Journals
- Journal of Lipid Research (2 papers)Journal of Biological Chemistry (2 papers)Clinical and Translational Medicine (1 paper)EMBO Molecular Medicine (1 paper)Atherosclerosis (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
C.Y. Yang
11 papers receiving 322 citations
Peers
Comparison fields: 5 of 60
- Biochemistry 42
- Endocrinology, Diabetes and Metabolism 77
- Cell Biology 63
- Surgery 133
- Cancer Research 43
Countries citing papers authored by C.Y. Yang
This map shows the geographic impact of C.Y. Yang'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 C.Y. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.Y. Yang more than expected).
Fields of papers citing papers by C.Y. Yang
This network shows the impact of papers produced by C.Y. Yang. 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 C.Y. Yang. The network helps show where C.Y. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside C.Y. Yang, 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 | 1987 | 85 | |
| 2 | 1990 | 80 | |
| 3 | 1989 | 52 | |
| 4 | 2017 | 37 | |
| 5 | 1993 | 15 | |
| 6 | 1994 | 15 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 12 | |
| 9 | 1991 | 12 | |
| 10 | 1992 | 10 | |
| 11 | 1996 | 1 |
About C.Y. Yang
C.Y. Yang is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Cell Biology and Epidemiology, having authored 11 papers that have together received 332 indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (3 papers), Pancreatic function and diabetes (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Machine Learning in Bioinformatics (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Biochemistry (42 citations), Endocrinology, Diabetes and Metabolism (77 citations), Cell Biology (63 citations), Surgery (133 citations) and Cancer Research (43 citations). C.Y. Yang has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Henry J. Pownall, Antonio M. Gotto, A M Gotto, Quein Pao, Roger D. Knapp, Zhongwei Gu, Michael F. Rohde, Wen‐Chin Yang, Si‐Tse Jiang and Sailen Mookerjea. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Clinical and Translational Medicine, EMBO Molecular Medicine and Atherosclerosis.
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.