Yikun Yao
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
Papers in
-
- Inflammasome and immune disorders 6
- Extracellular vesicles in disease 2
- Fibroblast Growth Factor Research 2
- Immunology 16
- Immune Cell Function and Interaction 10
- IL-33, ST2, and ILC Pathways 6
- Co-authors
- Youcun Qian (8 shared papers)Hanchao Gao (5 shared papers)Nan Shen (5 shared papers)Shu Zhu (3 shared papers)Xinyang Song (4 shared papers)Yin Huang (3 shared papers)Jingjing Wang (2 shared papers)Yufang Shi (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Immunity (3 papers)The Journal of Immunology (2 papers)Cell Death and Differentiation (1 paper)Cell Research (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yikun Yao
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 90
- Immunology 532
- Oncology 246
- Molecular Biology 590
- Cancer Research 108
- Epidemiology 210
Countries citing papers authored by Yikun Yao
This map shows the geographic impact of Yikun 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 Yikun Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yikun Yao more than expected).
Fields of papers citing papers by Yikun Yao
This network shows the impact of papers produced by Yikun 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 Yikun Yao. The network helps show where Yikun Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yikun 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 204 | |
| 2 | 2015 | 189 | |
| 3 | 2014 | 160 | |
| 4 | 2012 | 123 | |
| 5 | 2018 | 120 | |
| 6 | 2017 | 81 | |
| 7 | 2017 | 66 | |
| 8 | 2017 | 50 | |
| 9 | 2021 | 49 | |
| 10 | 2018 | 45 | |
| 11 | 2019 | 43 | |
| 12 | 2013 | 42 | |
| 13 | 2017 | 35 | |
| 14 | 2017 | 32 | |
| 15 | 2024 | 29 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2025 | 3 | |
| 20 | 2024 | 3 |
About Yikun Yao
Yikun Yao is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Surgery, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (10 papers), IL-33, ST2, and ILC Pathways (6 papers), Inflammasome and immune disorders (6 papers), CAR-T cell therapy research (3 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Extracellular vesicles in disease (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Immunology (532 citations), Oncology (246 citations), Molecular Biology (590 citations), Cancer Research (108 citations) and Epidemiology (210 citations). Yikun Yao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Youcun Qian, Hanchao Gao, Nan Shen, Shu Zhu, Xinyang Song, Yin Huang, Jingjing Wang, Yufang Shi, Siyuan Chen and Xiaoxia Li. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity, The Journal of Immunology, Cell Death and Differentiation and Cell Research.
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.