Wu Wu
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Land Use and Ecosystem Services
- Environmental Changes in China
Papers in
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- RNA modifications and cancer 6
- Circular RNAs in diseases 2
- Cancer-related gene regulation 2
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 6
- Co-authors
- Zhijie Wang (2 shared papers)Yang Zhao (5 shared papers)Lifei Yu (1 shared paper)Shuo Chen (4 shared papers)Qianhui Li (3 shared papers)Bingfeng Lu (4 shared papers)Xi Chen (4 shared papers)Zhu Zhu (5 shared papers)
- Journals
- Frontiers in Oncology (3 papers)Biochemical and Biophysical Research Communications (2 papers)Journal of the Science of Food and Agriculture (2 papers)Ecological Indicators (2 papers)Journal of Cellular and Molecular Medicine (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Wu Wu
27 papers receiving 368 citations
Peers
Comparison fields: 5 of 83
- Cancer Research 92
- Global and Planetary Change 104
- Molecular Biology 156
- Ecology 46
- Health, Toxicology and Mutagenesis 20
Countries citing papers authored by Wu Wu
This map shows the geographic impact of Wu Wu'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 Wu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Wu more than expected).
Fields of papers citing papers by Wu Wu
This network shows the impact of papers produced by Wu Wu. 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 Wu Wu. The network helps show where Wu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Wu Wu, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 66 | |
| 2 | 2022 | 53 | |
| 3 | 2021 | 39 | |
| 4 | 2022 | 31 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 21 | |
| 7 | 1995 | 21 | |
| 8 | 2021 | 14 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2015 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 1996 | 7 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Wu Wu
Wu Wu is a scholar working on Molecular Biology, Cancer Research, Plant Science, Food Science and Surgery, having authored 27 papers that have together received 374 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (6 papers), RNA modifications and cancer (6 papers), Cancer-related molecular mechanisms research (6 papers), Phytase and its Applications (3 papers), Proteins in Food Systems (3 papers), Circular RNAs in diseases (2 papers), Cancer-related gene regulation (2 papers) and Land Use and Ecosystem Services (2 papers). The work is most often cited by research in Cancer Research (92 citations), Global and Planetary Change (104 citations), Molecular Biology (156 citations), Ecology (46 citations) and Health, Toxicology and Mutagenesis (20 citations). Wu Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Zhijie Wang, Yang Zhao, Lifei Yu, Shuo Chen, Qianhui Li, Bingfeng Lu, Xi Chen, Zhu Zhu, Xiaoqing Wei and Shuo Chen. Their work appears in journals such as Frontiers in Oncology, Biochemical and Biophysical Research Communications, Journal of the Science of Food and Agriculture, Ecological Indicators and Journal of Cellular and Molecular 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.