Deng Wu
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
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 3
- Circular RNAs in diseases 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 2
- Co-authors
- Xiaoman Bi (12 shared papers)Kongning Li (12 shared papers)Hei‐Man Chow (4 shared papers)Nana Jin (7 shared papers)Dong Wang (4 shared papers)Yan Huang (5 shared papers)Jianzhen Xu (3 shared papers)Xia Li (3 shared papers)
- Journals
- Aging Cell (3 papers)BioMed Research International (3 papers)Scientific Reports (2 papers)Cancer Medicine (2 papers)Molecular BioSystems (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Deng Wu
26 papers receiving 281 citations
Peers
Comparison fields: 5 of 76
- Cancer Research 64
- Aging 7
- Neurology 24
- Molecular Biology 176
- Epidemiology 42
Countries citing papers authored by Deng Wu
This map shows the geographic impact of Deng 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 Deng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deng Wu more than expected).
Fields of papers citing papers by Deng Wu
This network shows the impact of papers produced by Deng 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 Deng Wu. The network helps show where Deng Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Deng 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 54 | |
| 2 | 2015 | 31 | |
| 3 | 2014 | 24 | |
| 4 | 2023 | 22 | |
| 5 | 2018 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2019 | 15 | |
| 8 | 2024 | 14 | |
| 9 | 2015 | 12 | |
| 10 | 2023 | 10 | |
| 11 | 2024 | 9 | |
| 12 | 2021 | 8 | |
| 13 | 2014 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2000 | 5 | |
| 18 | 2014 | 4 | |
| 19 | 2023 | 3 | |
| 20 | 2025 | 2 |
About Deng Wu
Deng Wu is a scholar working on Molecular Biology, Cancer Research, Genetics, Epidemiology and Neurology, having authored 26 papers that have together received 283 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), RNA modifications and cancer (4 papers), Bioinformatics and Genomic Networks (4 papers), RNA Research and Splicing (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), MicroRNA in disease regulation (2 papers), Plant-Microbe Interactions and Immunity (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (64 citations), Aging (7 citations), Neurology (24 citations), Molecular Biology (176 citations) and Epidemiology (42 citations). Deng Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaoman Bi, Kongning Li, Hei‐Man Chow, Nana Jin, Dong Wang, Yan Huang, Jianzhen Xu, Xia Li, Ting Zhang and Lu Zhang. Their work appears in journals such as Aging Cell, BioMed Research International, Scientific Reports, Cancer Medicine and Molecular BioSystems.
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.