Chi Yan
Impact in
-
- Atherosclerosis and Cardiovascular Diseases
- Galectins and Cancer Biology
Papers in
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- Atherosclerosis and Cardiovascular Diseases 3
- Co-authors
- Qingping Liu (11 shared papers)Renjun Wang (9 shared papers)Eiji Matsuura (6 shared papers)Jingda Li (5 shared papers)Pei‐Kuen Wei (1 shared paper)Jian‐Zhong Qin (3 shared papers)Wenzhe Li (3 shared papers)Xiaoyan Zhang (1 shared paper)
- Journals
- Life Sciences (3 papers)ACS Applied Materials & Interfaces (2 papers)Atherosclerosis (2 papers)The International Journal of Biochemistry & Cell Biology (2 papers)Chemical Engineering Journal (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Chi Yan
36 papers receiving 258 citations
Peers
Comparison fields: 5 of 67
- Immunology 55
- Biomaterials 18
- Cancer Research 18
- Molecular Biology 70
- Pharmacology 15
Countries citing papers authored by Chi Yan
This map shows the geographic impact of Chi Yan'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 Chi Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi Yan more than expected).
Fields of papers citing papers by Chi Yan
This network shows the impact of papers produced by Chi Yan. 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 Chi Yan. The network helps show where Chi Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Chi Yan, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 30 | |
| 2 | 2024 | 23 | |
| 3 | 2025 | 21 | |
| 4 | 2024 | 20 | |
| 5 | 2017 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2010 | 16 | |
| 8 | 2024 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2025 | 11 | |
| 11 | 2017 | 9 | |
| 12 | 2008 | 7 | |
| 13 | 2010 | 6 | |
| 14 | 2012 | 6 | |
| 15 | 2021 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2022 | 5 | |
| 18 | 2025 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 3 |
About Chi Yan
Chi Yan is a scholar working on Immunology, Cancer Research, Biomaterials, Polymers and Plastics and Oncology, having authored 40 papers that have together received 265 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (3 papers), Cholesterol and Lipid Metabolism (3 papers), Silk-based biomaterials and applications (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Electrospun Nanofibers in Biomedical Applications (2 papers), Mitochondrial Function and Pathology (2 papers), Autophagy in Disease and Therapy (2 papers) and Seaweed-derived Bioactive Compounds (2 papers). The work is most often cited by research in Immunology (55 citations), Biomaterials (18 citations), Cancer Research (18 citations), Molecular Biology (70 citations) and Pharmacology (15 citations). Chi Yan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qingping Liu, Renjun Wang, Eiji Matsuura, Jingda Li, Pei‐Kuen Wei, Jian‐Zhong Qin, Wenzhe Li, Xiaoyan Zhang, Chengjie Yu and Siyu Sun. Their work appears in journals such as Life Sciences, ACS Applied Materials & Interfaces, Atherosclerosis, The International Journal of Biochemistry & Cell Biology and Chemical Engineering Journal.
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.