Sansi Xing
About
In The Last Decade
Sansi Xing
8 papers receiving 266 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Molecular Biology 121
- Immunology 109
- Cancer Research 90
- Oncology 73
- Pulmonary and Respiratory Medicine 71
Countries citing papers authored by Sansi Xing
This map shows the geographic impact of Sansi Xing'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 Sansi Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sansi Xing more than expected).
Fields of papers citing papers by Sansi Xing
This network shows the impact of papers produced by Sansi Xing. 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 Sansi Xing. The network helps show where Sansi Xing may publish in the future.
Co-authorship network of co-authors of Sansi Xing
This figure shows the co-authorship network connecting the top 25 collaborators of Sansi Xing. A scholar is included among the top collaborators of Sansi Xing 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 Sansi Xing. Sansi Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Metabolic flexibility determines human NK cell functional fate in the tumor microenvironment breakdown → | 210 |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 25 | |
| 7 | 1 | |
| 8 | 1 |
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.