Shu‐Na Wang
About
In The Last Decade
Shu‐Na Wang
17 papers receiving 557 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 317
- Epidemiology 99
- Biomedical Engineering 96
- Neurology 84
- Cellular and Molecular Neuroscience 74
Countries citing papers authored by Shu‐Na Wang
This map shows the geographic impact of Shu‐Na Wang'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 Shu‐Na Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu‐Na Wang more than expected).
Fields of papers citing papers by Shu‐Na Wang
This network shows the impact of papers produced by Shu‐Na Wang. 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 Shu‐Na Wang. The network helps show where Shu‐Na Wang may publish in the future.
Co-authorship network of co-authors of Shu‐Na Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Na Wang. A scholar is included among the top collaborators of Shu‐Na Wang 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 Shu‐Na Wang. Shu‐Na Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 22 | |
| 6 | 25 | |
| 7 | 34 | |
| 8 | 7 | |
| 9 | 52 | |
| 10 | 30 | |
| 11 | 86 | |
| 12 | 27 | |
| 13 | 56 | |
| 14 | 103 | |
| 15 | 31 | |
| 16 | 40 | |
| 17 | 25 |
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.