Shuoyi Jiang
About
In The Last Decade
Shuoyi Jiang
11 papers receiving 437 citations
Peers
Comparison fields: 5 of 67
- Molecular Biology 289
- Epidemiology 124
- Oncology 80
- Cancer Research 73
- Immunology 47
Countries citing papers authored by Shuoyi Jiang
This map shows the geographic impact of Shuoyi Jiang'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 Shuoyi Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuoyi Jiang more than expected).
Fields of papers citing papers by Shuoyi Jiang
This network shows the impact of papers produced by Shuoyi Jiang. 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 Shuoyi Jiang. The network helps show where Shuoyi Jiang may publish in the future.
Co-authorship network of co-authors of Shuoyi Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuoyi Jiang. A scholar is included among the top collaborators of Shuoyi Jiang 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 Shuoyi Jiang. Shuoyi Jiang 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 | 0 | |
| 3 | 7 | |
| 4 | 19 | |
| 5 | 41 | |
| 6 | 54 | |
| 7 | 26 | |
| 8 | 50 | |
| 9 | 24 | |
| 10 | 36 | |
| 11 | 124 | |
| 12 | 57 |
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.