Wan‐Soo Yoon
About
In The Last Decade
Wan‐Soo Yoon
15 papers receiving 220 citations
Peers
Comparison fields: 5 of 45
- Genetics 94
- Molecular Biology 82
- Oncology 63
- Surgery 50
- Genetics 31
Countries citing papers authored by Wan‐Soo Yoon
This map shows the geographic impact of Wan‐Soo Yoon'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 Wan‐Soo Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wan‐Soo Yoon more than expected).
Fields of papers citing papers by Wan‐Soo Yoon
This network shows the impact of papers produced by Wan‐Soo Yoon. 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 Wan‐Soo Yoon. The network helps show where Wan‐Soo Yoon may publish in the future.
Co-authorship network of co-authors of Wan‐Soo Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Wan‐Soo Yoon. A scholar is included among the top collaborators of Wan‐Soo Yoon 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 Wan‐Soo Yoon. Wan‐Soo Yoon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 0 | |
| 9 | 28 | |
| 10 | 4 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 0 | |
| 14 | 112 | |
| 15 | 12 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | 5 |
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.