Shuoqi Zhang
About
In The Last Decade
Shuoqi Zhang
23 papers receiving 368 citations
Peers
Comparison fields: 5 of 84
- Immunology 126
- Molecular Biology 96
- Epidemiology 61
- Neurology 57
- Infectious Diseases 54
Countries citing papers authored by Shuoqi Zhang
This map shows the geographic impact of Shuoqi Zhang'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 Shuoqi Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuoqi Zhang more than expected).
Fields of papers citing papers by Shuoqi Zhang
This network shows the impact of papers produced by Shuoqi Zhang. 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 Shuoqi Zhang. The network helps show where Shuoqi Zhang may publish in the future.
Co-authorship network of co-authors of Shuoqi Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Shuoqi Zhang. A scholar is included among the top collaborators of Shuoqi Zhang 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 Shuoqi Zhang. Shuoqi Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 5 | |
| 6 | 6 | |
| 7 | 13 | |
| 8 | 1 | |
| 9 | 16 | |
| 10 | 7 | |
| 11 | 7 | |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 9 | |
| 15 | 30 | |
| 16 | 54 | |
| 17 | 103 | |
| 18 | 29 | |
| 19 | COVID-19 associated thromboinflammation of renal capillary: potential mechanisms and treatment. | 8 |
| 20 | 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.