Yangyang Yao
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 4
- Cancer-related gene regulation 3
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- Synthetic Organic Chemistry Methods 4
- Co-authors
- Jianping Xiong (15 shared papers)Shanshan Huang (9 shared papers)Hui Guo (8 shared papers)Xiaojun Xiang (8 shared papers)Jun Deng (7 shared papers)Jun Deng (8 shared papers)Jun Chen (6 shared papers)Xiaoyu Li (7 shared papers)
- Journals
- Organic & Biomolecular Chemistry (2 papers)Cell Communication and Signaling (2 papers)Journal of Cellular and Molecular Medicine (2 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of Asian Natural Products Research (2 papers)
- Partner nations
- ChinaUnited KingdomGermany
In The Last Decade
Yangyang Yao
42 papers receiving 586 citations
Peers
Comparison fields: 5 of 93
- Cancer Research 131
- Biological Psychiatry 10
- Molecular Biology 286
- Cell Biology 52
- Oncology 67
Countries citing papers authored by Yangyang Yao
This map shows the geographic impact of Yangyang 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 Yangyang Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangyang Yao more than expected).
Fields of papers citing papers by Yangyang Yao
This network shows the impact of papers produced by Yangyang 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 Yangyang Yao. The network helps show where Yangyang Yao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yangyang 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 57 | |
| 2 | 2018 | 39 | |
| 3 | 2016 | 35 | |
| 4 | 2020 | 35 | |
| 5 | 2022 | 32 | |
| 6 | 2021 | 28 | |
| 7 | 2019 | 25 | |
| 8 | 2018 | 25 | |
| 9 | 2018 | 22 | |
| 10 | 2018 | 22 | |
| 11 | 2021 | 21 | |
| 12 | 2019 | 18 | |
| 13 | 2025 | 17 | |
| 14 | 2020 | 16 | |
| 15 | 2021 | 15 | |
| 16 | 2017 | 14 | |
| 17 | 2020 | 14 | |
| 18 | 2019 | 13 | |
| 19 | 2020 | 13 | |
| 20 | 2019 | 13 |
About Yangyang Yao
Yangyang Yao is a scholar working on Molecular Biology, Organic Chemistry, Cell Biology, Cancer Research and Pharmacology, having authored 45 papers that have together received 590 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Cancer-related molecular mechanisms research (4 papers), Synthetic Organic Chemistry Methods (4 papers), RNA modifications and cancer (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related gene regulation (3 papers), Connective tissue disorders research (3 papers) and Microbial Natural Products and Biosynthesis (3 papers). The work is most often cited by research in Cancer Research (131 citations), Biological Psychiatry (10 citations), Molecular Biology (286 citations), Cell Biology (52 citations) and Oncology (67 citations). Yangyang Yao has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Jianping Xiong, Shanshan Huang, Hui Guo, Xiaojun Xiang, Jun Deng, Jun Deng, Jun Chen, Xiaoyu Li, Junhe Li and Ping Xie. Their work appears in journals such as Organic & Biomolecular Chemistry, Cell Communication and Signaling, Journal of Cellular and Molecular Medicine, Biochemical and Biophysical Research Communications and Journal of Asian Natural Products 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.