Xiaxia Wu
Impact in
-
- Traditional Chinese Medicine Analysis
- Toxicology top 10%
Papers in
-
- Traditional Chinese Medicine Analysis 3
- Co-authors
- Xiuping Chen (7 shared papers)jinjian Lu (4 shared papers)Hongwei Gao (5 shared papers)Wen Ce Sun (5 shared papers)Xiuzhi Wang (2 shared papers)Yue Christine Lu (2 shared papers)Dongfang Cheng (1 shared paper)Aiping Wang (1 shared paper)
- Journals
- Toxicology and Applied Pharmacology (2 papers)Scientific Reports (1 paper)Free Radical Biology and Medicine (1 paper)Pharmaceuticals (1 paper)Phytotherapy Research (1 paper)
- Partner nations
- ChinaMacaoUnited Kingdom
In The Last Decade
Xiaxia Wu
18 papers receiving 710 citations
Xiaxia Wu's Hit Papers
Peers
Comparison fields: 5 of 99
- Complementary and alternative medicine 64
- Toxicology 22
- Biomaterials 73
- Pharmaceutical Science 33
- Pharmacology 39
Countries citing papers authored by Xiaxia Wu
This map shows the geographic impact of Xiaxia 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 Xiaxia Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaxia Wu more than expected).
Fields of papers citing papers by Xiaxia Wu
This network shows the impact of papers produced by Xiaxia 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 Xiaxia Wu. The network helps show where Xiaxia Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaxia 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 | Properties of Poly (Lactic-co-Glycolic Acid) and Progress of Poly (Lactic-co-Glycolic Acid)-Based Biodegradable Materials in Biomedical Research Hit paper breakdown → | 2023 | 178 |
| 2 | 2018 | 125 | |
| 3 | 2017 | 123 | |
| 4 | 2016 | 59 | |
| 5 | 2018 | 53 | |
| 6 | 2018 | 44 | |
| 7 | 2018 | 36 | |
| 8 | 2018 | 31 | |
| 9 | 2020 | 23 | |
| 10 | 2017 | 20 | |
| 11 | 2024 | 7 | |
| 12 | 2021 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2021 | 2 | |
| 16 | 2020 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2026 | 1 |
About Xiaxia Wu
Xiaxia Wu is a scholar working on Complementary and alternative medicine, Pharmaceutical Science, Molecular Biology, Pharmacology and Health Informatics, having authored 18 papers that have together received 719 indexed citations. Recurring topics across this work include Natural product bioactivities and synthesis (4 papers), Traditional Chinese Medicine Analysis (3 papers), Cell death mechanisms and regulation (2 papers), COVID-19 Clinical Research Studies (1 paper), Differential Equations and Numerical Methods (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper), Chronic Disease Management Strategies (1 paper) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). The work is most often cited by research in Complementary and alternative medicine (64 citations), Toxicology (22 citations), Biomaterials (73 citations), Pharmaceutical Science (33 citations) and Pharmacology (39 citations). Xiaxia Wu has collaborated with scholars based in China, Macao and United Kingdom. Frequent co-authors include Xiuping Chen, jinjian Lu, Hongwei Gao, Wen Ce Sun, Xiuzhi Wang, Yue Christine Lu, Dongfang Cheng, Aiping Wang, Changxi Wang and Qi Kong. Their work appears in journals such as Toxicology and Applied Pharmacology, Scientific Reports, Free Radical Biology and Medicine, Pharmaceuticals and Phytotherapy Research.
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.