Xiaonan Xiang
About
In The Last Decade
Xiaonan Xiang
8 papers receiving 684 citations
Hit Papers
Peers
Comparison fields: 5 of 66
- Immunology 411
- Oncology 282
- Molecular Biology 281
- Biomedical Engineering 115
- Cancer Research 104
Countries citing papers authored by Xiaonan Xiang
This map shows the geographic impact of Xiaonan Xiang'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 Xiaonan Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaonan Xiang more than expected).
Fields of papers citing papers by Xiaonan Xiang
This network shows the impact of papers produced by Xiaonan Xiang. 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 Xiaonan Xiang. The network helps show where Xiaonan Xiang may publish in the future.
Co-authorship network of co-authors of Xiaonan Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaonan Xiang. A scholar is included among the top collaborators of Xiaonan Xiang 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 Xiaonan Xiang. Xiaonan Xiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 10 | |
| 3 | 5 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | Targeting tumor-associated macrophages to synergize tumor immunotherapy breakdown → | 656 |
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.