Chen‐Yu Lin
Impact in
- Biochemistry top 5%
- Antioxidant Activity and Oxidative Stress
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- Cancer, Lipids, and Metabolism
Papers in
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- Retinoids in leukemia and cellular processes 2
- CRISPR and Genetic Engineering 2
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- Endoplasmic Reticulum Stress and Disease 3
- Co-authors
- Miao‐Lin Hu (2 shared papers)Chin‐Shiu Huang (2 shared papers)Shaw‐Fang Yet (3 shared papers)Yen‐Chun Ho (2 shared papers)Meng‐Ling Wu (1 shared paper)Tao‐Wei Ke (2 shared papers)K. S. Clifford Chao (2 shared papers)William Tzu‐Liang Chen (2 shared papers)
- Journals
- Cancer Research (2 papers)Cellular and Molecular Neurobiology (1 paper)Human Cell (1 paper)Food and Chemical Toxicology (1 paper)Nature Communications (1 paper)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Chen‐Yu Lin
26 papers receiving 644 citations
Peers
Comparison fields: 5 of 93
- Biochemistry 98
- Cancer Research 101
- Clinical Biochemistry 45
- Neurology 42
- Molecular Biology 344
Countries citing papers authored by Chen‐Yu Lin
This map shows the geographic impact of Chen‐Yu 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‐Yu 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‐Yu Lin more than expected).
Fields of papers citing papers by Chen‐Yu Lin
This network shows the impact of papers produced by Chen‐Yu 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‐Yu Lin. The network helps show where Chen‐Yu Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen‐Yu 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
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 129 | |
| 2 | Heme oxygenase-1 in inflammation and cardiovascular disease. | 2011 | 102 |
| 3 | 2006 | 85 | |
| 4 | 2017 | 53 | |
| 5 | 2007 | 45 | |
| 6 | 2016 | 44 | |
| 7 | 2023 | 32 | |
| 8 | 2010 | 32 | |
| 9 | 2021 | 30 | |
| 10 | 2021 | 21 | |
| 11 | 2023 | 13 | |
| 12 | 2020 | 13 | |
| 13 | 2024 | 8 | |
| 14 | 2013 | 8 | |
| 15 | 2017 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2024 | 3 |
About Chen‐Yu Lin
Chen‐Yu Lin is a scholar working on Molecular Biology, Cell Biology, Surgery, Ecology and Immunology, having authored 29 papers that have together received 650 indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (3 papers), Bacteriophages and microbial interactions (3 papers), Fatty Acid Research and Health (2 papers), Thermoregulation and physiological responses (2 papers), Retinoids in leukemia and cellular processes (2 papers), CRISPR and Genetic Engineering (2 papers), Antioxidant Activity and Oxidative Stress (2 papers) and Microbial infections and disease research (2 papers). The work is most often cited by research in Biochemistry (98 citations), Cancer Research (101 citations), Clinical Biochemistry (45 citations), Neurology (42 citations) and Molecular Biology (344 citations). Chen‐Yu Lin has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Miao‐Lin Hu, Chin‐Shiu Huang, Shaw‐Fang Yet, Yen‐Chun Ho, Meng‐Ling Wu, Tao‐Wei Ke, K. S. Clifford Chao, William Tzu‐Liang Chen, Shu‐Fen Chiang and Ying‐Shu You. Their work appears in journals such as Cancer Research, Cellular and Molecular Neurobiology, Human Cell, Food and Chemical Toxicology and Nature Communications.
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.