Mingxia Wu
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Traditional Chinese Medicine Analysis
Papers in
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- Advanced biosensing and bioanalysis techniques 1
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- Neuroinflammation and Neurodegeneration Mechanisms 3
- Neurological Disease Mechanisms and Treatments 2
- Co-authors
- William C. Cho (6 shared papers)Kenneth K.W. To (6 shared papers)Christy W.S. Tong (5 shared papers)Hongyi Qi (4 shared papers)Hui Ma (2 shared papers)Juan Li (2 shared papers)Wei Yan (1 shared paper)Chengqiang Wang (3 shared papers)
- Journals
- Molecules (2 papers)Cancer Research (1 paper)Frontiers in Oncology (1 paper)Life Sciences (1 paper)Current Cancer Drug Targets (1 paper)
- Partner nations
- ChinaHong KongNetherlands
In The Last Decade
Mingxia Wu
13 papers receiving 711 citations
Mingxia Wu's Hit Papers
Peers
Comparison fields: 5 of 93
- Cancer Research 273
- Complementary and alternative medicine 64
- Oncology 169
- Molecular Biology 405
- Neurology 34
Countries citing papers authored by Mingxia Wu
This map shows the geographic impact of Mingxia 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 Mingxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingxia Wu more than expected).
Fields of papers citing papers by Mingxia Wu
This network shows the impact of papers produced by Mingxia 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 Mingxia Wu. The network helps show where Mingxia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Mingxia 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
| # | Work | ||
|---|---|---|---|
| 1 | Recent Advances in the Treatment of Breast Cancer Hit paper breakdown → | 2018 | 293 |
| 2 | 2018 | 151 | |
| 3 | 2017 | 54 | |
| 4 | 2019 | 49 | |
| 5 | 2018 | 44 | |
| 6 | 2020 | 33 | |
| 7 | 2017 | 32 | |
| 8 | 2018 | 24 | |
| 9 | 2018 | 19 | |
| 10 | 2009 | 17 | |
| 11 | 2024 | 3 | |
| 12 | 2020 | 3 | |
| 13 | 2025 | 1 |
About Mingxia Wu
Mingxia Wu is a scholar working on Molecular Biology, Neurology, Oncology, Complementary and alternative medicine and Cancer Research, having authored 13 papers that have together received 723 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Chronic Lymphocytic Leukemia Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers), Medicinal Plants and Neuroprotection (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), Cytokine Signaling Pathways and Interactions (1 paper) and Sirtuins and Resveratrol in Medicine (1 paper). The work is most often cited by research in Cancer Research (273 citations), Complementary and alternative medicine (64 citations), Oncology (169 citations), Molecular Biology (405 citations) and Neurology (34 citations). Mingxia Wu has collaborated with scholars based in China, Hong Kong and Netherlands. Frequent co-authors include William C. Cho, Kenneth K.W. To, Christy W.S. Tong, Hongyi Qi, Hui Ma, Juan Li, Wei Yan, Chengqiang Wang, Wei Yan and Winnie Fong. Their work appears in journals such as Molecules, Cancer Research, Frontiers in Oncology, Life Sciences and Current Cancer Drug Targets.
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.