Yan Chai
Impact in
- Immunology top 5%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Infectious Diseases top 5%
- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in ⓘ
- Immunology 30
- Immunotherapy and Immune Responses 16
- T-cell and B-cell Immunology 8
- Immune Cell Function and Interaction 7
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- vaccines and immunoinformatics approaches 6
- Co-authors
- George F. Gao (44 shared papers)Jianxun Qi (38 shared papers)Shuguang Tan (17 shared papers)Yi Shi (11 shared papers)Jinghua Yan (11 shared papers)Hao Song (12 shared papers)Jianning Zhang (9 shared papers)Xin Chen (8 shared papers)
In The Last Decade
Yan Chai
70 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 105
- Immunology 504
- Infectious Diseases 367
- Oncology 444
- Virology 57
- Biological Psychiatry 25
Countries citing papers authored by Yan Chai
This map shows the geographic impact of Yan Chai'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 Yan Chai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Chai more than expected).
Fields of papers citing papers by Yan Chai
This network shows the impact of papers produced by Yan Chai. 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 Yan Chai. The network helps show where Yan Chai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Chai, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 195 | |
| 2 | 2019 | 102 | |
| 3 | 2017 | 99 | |
| 4 | 2017 | 69 | |
| 5 | 2020 | 66 | |
| 6 | 2017 | 55 | |
| 7 | 2022 | 53 | |
| 8 | 2020 | 52 | |
| 9 | 2023 | 50 | |
| 10 | 2023 | 45 | |
| 11 | 2017 | 42 | |
| 12 | 2023 | 40 | |
| 13 | 2016 | 38 | |
| 14 | 2020 | 36 | |
| 15 | 2017 | 35 | |
| 16 | 2022 | 35 | |
| 17 | 2019 | 34 | |
| 18 | 2018 | 34 | |
| 19 | 2022 | 32 | |
| 20 | 2022 | 31 |
About Yan Chai
Yan Chai is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Oncology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (16 papers), T-cell and B-cell Immunology (8 papers), SARS-CoV-2 and COVID-19 Research (8 papers), Immune Cell Function and Interaction (7 papers), Viral Infections and Immunology Research (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), vaccines and immunoinformatics approaches (6 papers) and Mosquito-borne diseases and control (6 papers). The work is most often cited by research in Immunology (504 citations), Infectious Diseases (367 citations), Oncology (444 citations), Virology (57 citations) and Biological Psychiatry (25 citations). Yan Chai has collaborated with scholars based in China, Czechia and Macao. Frequent co-authors include George F. Gao, Jianxun Qi, Shuguang Tan, Yi Shi, Jinghua Yan, Hao Song, Jianning Zhang, Xin Chen, Mingming Shi and Zhou Tong. Their work appears in journals such as The Journal of Immunology, Frontiers in Immunology, Nature Communications, Cell Reports and Proceedings of the National Academy of Sciences.
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.