Xiaona Qiao
About
In The Last Decade
Xiaona Qiao
16 papers receiving 482 citations
Peers
Comparison fields: 5 of 86
- Physiology 235
- Endocrinology, Diabetes and Metabolism 115
- Molecular Biology 102
- Neurology 83
- Epidemiology 81
Countries citing papers authored by Xiaona Qiao
This map shows the geographic impact of Xiaona Qiao'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 Xiaona Qiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaona Qiao more than expected).
Fields of papers citing papers by Xiaona Qiao
This network shows the impact of papers produced by Xiaona Qiao. 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 Xiaona Qiao. The network helps show where Xiaona Qiao may publish in the future.
Co-authorship network of co-authors of Xiaona Qiao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaona Qiao. A scholar is included among the top collaborators of Xiaona Qiao 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 Xiaona Qiao. Xiaona Qiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 41 | |
| 3 | 26 | |
| 4 | 21 | |
| 5 | 73 | |
| 6 | 35 | |
| 7 | 21 | |
| 8 | 21 | |
| 9 | 23 | |
| 10 | 52 | |
| 11 | 16 | |
| 12 | 18 | |
| 13 | 46 | |
| 14 | 17 | |
| 15 | 20 | |
| 16 | 30 |
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.