Chen Yao
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Natural product bioactivities and synthesis
- Ubiquitin and proteasome pathways
- PI3K/AKT/mTOR signaling in cancer
- Epigenetics and DNA Methylation
Papers in
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- Circular RNAs in diseases 3
- PI3K/AKT/mTOR signaling in cancer 3
- RNA modifications and cancer 3
- RNA Research and Splicing 2
- Extracellular vesicles in disease 2
- Angiogenesis and VEGF in Cancer 2
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- Immune cells in cancer 2
- Co-authors
- Shuai Chen (9 shared papers)Xing Ai (2 shared papers)Guohui Zhang (2 shared papers)Chunjie Sheng (8 shared papers)Ziyang Wang (5 shared papers)Tong Zhang (1 shared paper)Yizhi Mao (4 shared papers)Huimin Ding (2 shared papers)
In The Last Decade
Chen Yao
23 papers receiving 821 citations
Peers
Comparison fields: 5 of 100
- Cancer Research 161
- Molecular Biology 518
- Immunology 91
- Physiology 20
- Toxicology 14
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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 106 | |
| 2 | 2012 | 101 | |
| 3 | 2012 | 78 | |
| 4 | 2021 | 67 | |
| 5 | 2017 | 67 | |
| 6 | 2017 | 57 | |
| 7 | 2012 | 48 | |
| 8 | 2012 | 43 | |
| 9 | 2015 | 42 | |
| 10 | 2016 | 41 | |
| 11 | 2016 | 34 | |
| 12 | 2021 | 23 | |
| 13 | 2020 | 20 | |
| 14 | 2024 | 20 | |
| 15 | 2017 | 14 | |
| 16 | 2018 | 13 | |
| 17 | 2016 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2018 | 11 | |
| 20 | 2017 | 10 |
About Chen Yao
Chen Yao is a scholar working on Molecular Biology, Immunology, Cancer Research, Oncology and Immunology and Allergy, having authored 23 papers that have together received 828 indexed citations. Recurring topics across this work include Circular RNAs in diseases (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Immune cells in cancer (2 papers), RNA Research and Splicing (2 papers), Extracellular vesicles in disease (2 papers) and Angiogenesis and VEGF in Cancer (2 papers). The work is most often cited by research in Cancer Research (161 citations), Molecular Biology (518 citations), Immunology (91 citations), Physiology (20 citations) and Toxicology (14 citations). Chen Yao has collaborated with scholars based in China, Hong Kong and Germany. Frequent co-authors include Shuai Chen, Xing Ai, Guohui Zhang, Chunjie Sheng, Ziyang Wang, Tong Zhang, Yizhi Mao, Huimin Ding, Pingping Li and Tong Zang. Their work appears in journals such as Advanced Science, Oncotarget, Nature Communications, Biochemical and Biophysical Research Communications and Journal of Tropical Medicine.
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.