Xingyun Wu
About
In The Last Decade
Xingyun Wu
9 papers receiving 541 citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Molecular Biology 254
- Endocrinology, Diabetes and Metabolism 106
- Physiology 74
- Cancer Research 64
- Epidemiology 61
Countries citing papers authored by Xingyun Wu
This map shows the geographic impact of Xingyun 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 Xingyun Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xingyun Wu more than expected).
Fields of papers citing papers by Xingyun Wu
This network shows the impact of papers produced by Xingyun 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 Xingyun Wu. The network helps show where Xingyun Wu may publish in the future.
Co-authorship network of co-authors of Xingyun Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xingyun Wu. A scholar is included among the top collaborators of Xingyun Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xingyun Wu. Xingyun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 7 | |
| 3 | 29 | |
| 4 | 23 | |
| 5 | 74 | |
| 6 | 19 | |
| 7 | 16 | |
| 8 | Oxidative stress and diabetes: antioxidative strategies breakdown → | 368 |
| 9 | 4 |
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.