Xiaoxi Yao
About
In The Last Decade
Xiaoxi Yao
10 papers receiving 287 citations
Peers
Comparison fields: 5 of 60
- Molecular Biology 194
- Cancer Research 172
- Epidemiology 47
- Neurology 40
- Neurology 21
Countries citing papers authored by Xiaoxi Yao
This map shows the geographic impact of Xiaoxi Yao'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 Xiaoxi Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxi Yao more than expected).
Fields of papers citing papers by Xiaoxi Yao
This network shows the impact of papers produced by Xiaoxi Yao. 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 Xiaoxi Yao. The network helps show where Xiaoxi Yao may publish in the future.
Co-authorship network of co-authors of Xiaoxi Yao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxi Yao. A scholar is included among the top collaborators of Xiaoxi Yao 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 Xiaoxi Yao. Xiaoxi Yao 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 | 0 | |
| 3 | Classifying mild cognitive impairment and Alzheimer's disease by constructing a 14-gene diagnostic model. | 2 |
| 4 | 11 | |
| 5 | 33 | |
| 6 | 49 | |
| 7 | 109 | |
| 8 | 28 | |
| 9 | 32 | |
| 10 | 17 | |
| 11 | 6 |
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.