Chan Yang
Impact in
- Infectious Diseases top 1%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
- Viral gastroenteritis research and epidemiology
- Animal Science and Zoology top 5%
- Animal Virus Infections Studies
Papers in
-
- Herpesvirus Infections and Treatments 4
- Co-authors
- Shuwen Liu (18 shared papers)Yuan Huang (4 shared papers)Wei Xü (4 shared papers)Xinghui Qiu (7 shared papers)Mei Li (5 shared papers)Xinfeng Xu (10 shared papers)Nian Liu (2 shared papers)Xiaoyan Pan (4 shared papers)
- Journals
- Malaria Journal (3 papers)Acta Pharmacologica Sinica (3 papers)Parasites & Vectors (2 papers)Viruses (2 papers)Virology Journal (2 papers)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Chan Yang
49 papers receiving 2.0k citations
Chan Yang's Hit Papers
Peers
Comparison fields: 5 of 126
- Infectious Diseases 1.2k
- Animal Science and Zoology 139
- Computational Theory and Mathematics 204
- Molecular Biology 594
- Immunology 174
Countries citing papers authored by Chan Yang
This map shows the geographic impact of Chan 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 Chan Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Yang more than expected).
Fields of papers citing papers by Chan Yang
This network shows the impact of papers produced by Chan 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 Chan Yang. The network helps show where Chan Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chan 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
Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Structural and functional properties of SARS-CoV-2 spike protein: potential antivirus drug development for COVID-19 Hit paper breakdown → | 2020 | 1531 |
| 2 | 2019 | 50 | |
| 3 | 2021 | 36 | |
| 4 | 2020 | 35 | |
| 5 | 2022 | 33 | |
| 6 | 2020 | 29 | |
| 7 | 2018 | 28 | |
| 8 | 2021 | 28 | |
| 9 | 2021 | 26 | |
| 10 | 2017 | 22 | |
| 11 | 2021 | 19 | |
| 12 | 2020 | 19 | |
| 13 | 2019 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2015 | 14 | |
| 16 | 2017 | 13 | |
| 17 | 2019 | 11 | |
| 18 | 2023 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2022 | 8 |
About Chan Yang
Chan Yang is a scholar working on Molecular Biology, Epidemiology, Immunology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 52 papers that have together received 2.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Herpesvirus Infections and Treatments (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Malaria Research and Control (3 papers), Advanced Harmonic Analysis Research (2 papers), interferon and immune responses (2 papers), Bone health and osteoporosis research (2 papers) and Reproductive System and Pregnancy (2 papers). The work is most often cited by research in Infectious Diseases (1.2k citations), Animal Science and Zoology (139 citations), Computational Theory and Mathematics (204 citations), Molecular Biology (594 citations) and Immunology (174 citations). Chan Yang has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Shuwen Liu, Yuan Huang, Wei Xü, Xinghui Qiu, Mei Li, Xinfeng Xu, Nian Liu, Xiaoyan Pan, Ying Tong and Xiaopeng Zeng. Their work appears in journals such as Malaria Journal, Acta Pharmacologica Sinica, Parasites & Vectors, Viruses and Virology 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.