Jaesuk Yun
About
In The Last Decade
Jaesuk Yun
86 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 489
- Cellular and Molecular Neuroscience 232
- Immunology 186
- Pharmacology 174
- Physiology 145
Countries citing papers authored by Jaesuk Yun
This map shows the geographic impact of Jaesuk Yun'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 Jaesuk Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaesuk Yun more than expected).
Fields of papers citing papers by Jaesuk Yun
This network shows the impact of papers produced by Jaesuk Yun. 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 Jaesuk Yun. The network helps show where Jaesuk Yun may publish in the future.
Co-authorship network of co-authors of Jaesuk Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Jaesuk Yun. A scholar is included among the top collaborators of Jaesuk Yun 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 Jaesuk Yun. Jaesuk Yun 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 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 6 | |
| 10 | 11 | |
| 11 | 49 | |
| 12 | 33 | |
| 13 | 5 | |
| 14 | 12 | |
| 15 | 93 | |
| 16 | 37 | |
| 17 | 35 | |
| 18 | 12 | |
| 19 | 20 | |
| 20 | 22 |
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.