Xiaoping Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
- Cancer-related molecular mechanisms research
- Pharmacology top 5%
Papers in
-
- Fibroblast Growth Factor Research 25
- Epigenetics and DNA Methylation 7
- Kruppel-like factors research 5
- Circular RNAs in diseases 4
-
- Cancer, Hypoxia, and Metabolism 9
- Co-authors
- Xiaokun Li (19 shared papers)Jianzhang Wu (10 shared papers)Xuyu Zu (1 shared paper)Gph Leung (8 shared papers)Xiaohua Hu (2 shared papers)Shuwen Deng (1 shared paper)Fengxiang Yan (1 shared paper)Jingjing Li (7 shared papers)
- Journals
- Phytomedicine (6 papers)Tumor Biology (3 papers)The International Journal of Biochemistry & Cell Biology (2 papers)European Journal of Pharmacology (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Xiaoping Wu
78 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 116
- Cancer Research 237
- Pharmacology 111
- Molecular Biology 864
- Molecular Medicine 62
- Toxicology 30
Countries citing papers authored by Xiaoping Wu
This map shows the geographic impact of Xiaoping 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 Xiaoping Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Wu more than expected).
Fields of papers citing papers by Xiaoping Wu
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Wu. The network helps show where Xiaoping Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 81 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 156 | |
| 2 | 2017 | 77 | |
| 3 | 2011 | 65 | |
| 4 | 2022 | 62 | |
| 5 | 2019 | 48 | |
| 6 | 2008 | 46 | |
| 7 | 2011 | 44 | |
| 8 | 2023 | 42 | |
| 9 | 2020 | 42 | |
| 10 | 2011 | 41 | |
| 11 | 2016 | 38 | |
| 12 | 2023 | 36 | |
| 13 | 2013 | 35 | |
| 14 | 2005 | 34 | |
| 15 | 2013 | 32 | |
| 16 | 2019 | 29 | |
| 17 | 2019 | 28 | |
| 18 | 2016 | 27 | |
| 19 | 2023 | 24 | |
| 20 | 2011 | 24 |
About Xiaoping Wu
Xiaoping Wu is a scholar working on Molecular Biology, Cancer Research, Cell Biology, Oncology and Immunology, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fibroblast Growth Factor Research (25 papers), Proteoglycans and glycosaminoglycans research (12 papers), Cancer, Hypoxia, and Metabolism (9 papers), Epigenetics and DNA Methylation (7 papers), Kruppel-like factors research (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Circular RNAs in diseases (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Cancer Research (237 citations), Pharmacology (111 citations), Molecular Biology (864 citations), Molecular Medicine (62 citations) and Toxicology (30 citations). Xiaoping Wu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xiaokun Li, Jianzhang Wu, Xuyu Zu, Gph Leung, Xiaohua Hu, Shuwen Deng, Fengxiang Yan, Jingjing Li, Jinming Zhang and Youhua Wu. Their work appears in journals such as Phytomedicine, Tumor Biology, The International Journal of Biochemistry & Cell Biology, European Journal of Pharmacology and Cancer Letters.
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.