Xia Wu
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Algal biology and biofuel production
Papers in
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- Circular RNAs in diseases 12
- RNA modifications and cancer 7
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- Cancer-related molecular mechanisms research 16
- MicroRNA in disease regulation 14
- Co-authors
- Wei Cong (16 shared papers)Yuxuan Fang (13 shared papers)Shengzhang Xue (8 shared papers)Fanru Meng (7 shared papers)Chunwang Zhang (8 shared papers)Chenghu Yan (8 shared papers)Xuejian Liu (6 shared papers)E Lingling (6 shared papers)
- Journals
- Tumor Biology (5 papers)Bioscience Reports (3 papers)Bioprocess and Biosystems Engineering (3 papers)Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics (3 papers)Medicine (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xia Wu
115 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 146
- Cancer Research 670
- Renewable Energy, Sustainability and the Environment 381
- Immunology 455
- Biomaterials 230
- Urology 112
Countries citing papers authored by Xia Wu
This map shows the geographic impact of Xia 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 Xia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Wu more than expected).
Fields of papers citing papers by Xia Wu
This network shows the impact of papers produced by Xia 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 Xia Wu. The network helps show where Xia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xia 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 121 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 108 | |
| 2 | 2011 | 101 | |
| 3 | 2014 | 95 | |
| 4 | 2004 | 92 | |
| 5 | 2016 | 88 | |
| 6 | 2013 | 88 | |
| 7 | 2011 | 79 | |
| 8 | 2018 | 74 | |
| 9 | 2019 | 69 | |
| 10 | 2013 | 67 | |
| 11 | 2006 | 67 | |
| 12 | 2018 | 67 | |
| 13 | 2017 | 61 | |
| 14 | 2018 | 59 | |
| 15 | 2015 | 55 | |
| 16 | 2012 | 54 | |
| 17 | 2009 | 52 | |
| 18 | 2020 | 51 | |
| 19 | 2015 | 50 | |
| 20 | 2016 | 49 |
About Xia Wu
Xia Wu is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Renewable Energy, Sustainability and the Environment, having authored 121 papers that have together received 3.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (16 papers), MicroRNA in disease regulation (14 papers), Circular RNAs in diseases (12 papers), Algal biology and biofuel production (12 papers), Cancer Mechanisms and Therapy (9 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), RNA modifications and cancer (7 papers) and Aquatic Ecosystems and Phytoplankton Dynamics (6 papers). The work is most often cited by research in Cancer Research (670 citations), Renewable Energy, Sustainability and the Environment (381 citations), Immunology (455 citations), Biomaterials (230 citations) and Urology (112 citations). Xia Wu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wei Cong, Yuxuan Fang, Shengzhang Xue, Fanru Meng, Chunwang Zhang, Chenghu Yan, Xuejian Liu, E Lingling, Da‐Jin Li and Hongchen Liu. Their work appears in journals such as Tumor Biology, Bioscience Reports, Bioprocess and Biosystems Engineering, Oncology Research Featuring Preclinical and Clinical Cancer Therapeutics and 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.