Chen Yao
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Dermatology top 2%
- Dermatology and Skin Diseases
Papers in
- Immunology 36
- Immune Cell Function and Interaction 25
- T-cell and B-cell Immunology 12
- IL-33, ST2, and ILC Pathways 6
- Immune cells in cancer 4
- interferon and immune responses 4
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- Glycosylation and Glycoproteins Research 5
- Co-authors
- Daniel H. Kaplan (3 shared papers)Maureen Riedl (2 shared papers)Christopher N. Honda (2 shared papers)Sakeen W. Kashem (2 shared papers)Lucy Vulchanova (2 shared papers)John J. O’Shea (11 shared papers)Han‐Yu Shih (6 shared papers)Oliver J. Harrison (2 shared papers)
- Journals
- Immunity (7 papers)Science Immunology (5 papers)Cell Research (2 papers)Frontiers in Immunology (2 papers)Nature Immunology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Chen Yao
71 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 117
- Immunology 900
- Dermatology 194
- Virology 63
- Sensory Systems 62
- Cancer Research 172
Countries citing papers authored by Chen Yao
This map shows the geographic impact of Chen Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen Yao more than expected).
Fields of papers citing papers by Chen Yao
This network shows the impact of papers produced by Chen Yao. 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 Yao. The network helps show where Chen Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chen Yao, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 320 | |
| 2 | 2019 | 225 | |
| 3 | 2018 | 220 | |
| 4 | 2005 | 82 | |
| 5 | 2022 | 80 | |
| 6 | 2012 | 64 | |
| 7 | 2018 | 64 | |
| 8 | 2019 | 58 | |
| 9 | 2013 | 56 | |
| 10 | 2019 | 53 | |
| 11 | 2015 | 46 | |
| 12 | 2020 | 43 | |
| 13 | 2020 | 43 | |
| 14 | 2023 | 42 | |
| 15 | 2010 | 42 | |
| 16 | 2015 | 39 | |
| 17 | 2021 | 38 | |
| 18 | 2021 | 38 | |
| 19 | 2023 | 29 | |
| 20 | 2022 | 29 |
About Chen Yao
Chen Yao is a scholar working on Immunology, Molecular Biology, Oncology, Cancer Research and Surgery, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (25 papers), T-cell and B-cell Immunology (12 papers), IL-33, ST2, and ILC Pathways (6 papers), CAR-T cell therapy research (5 papers), Glycosylation and Glycoproteins Research (5 papers), Cancer, Lipids, and Metabolism (4 papers), Immune cells in cancer (4 papers) and interferon and immune responses (4 papers). The work is most often cited by research in Immunology (900 citations), Dermatology (194 citations), Virology (63 citations), Sensory Systems (62 citations) and Cancer Research (172 citations). Chen Yao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Daniel H. Kaplan, Maureen Riedl, Christopher N. Honda, Sakeen W. Kashem, Lucy Vulchanova, John J. O’Shea, Han‐Yu Shih, Oliver J. Harrison, Yuka Kanno and Yasmine Belkaid. Their work appears in journals such as Immunity, Science Immunology, Cell Research, Frontiers in Immunology and Nature Immunology.
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.