Seul Ki Yeon
About
In The Last Decade
Seul Ki Yeon
15 papers receiving 600 citations
Peers
Comparison fields: 5 of 77
- Organic Chemistry 257
- Molecular Biology 199
- Cellular and Molecular Neuroscience 146
- Physiology 100
- Pharmacology 86
Countries citing papers authored by Seul Ki Yeon
This map shows the geographic impact of Seul Ki Yeon'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 Seul Ki Yeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seul Ki Yeon more than expected).
Fields of papers citing papers by Seul Ki Yeon
This network shows the impact of papers produced by Seul Ki Yeon. 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 Seul Ki Yeon. The network helps show where Seul Ki Yeon may publish in the future.
Co-authorship network of co-authors of Seul Ki Yeon
This figure shows the co-authorship network connecting the top 25 collaborators of Seul Ki Yeon. A scholar is included among the top collaborators of Seul Ki Yeon 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 Seul Ki Yeon. Seul Ki Yeon 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 | 10 | |
| 3 | 14 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 63 | |
| 8 | 26 | |
| 9 | 28 | |
| 10 | 1 | |
| 11 | 49 | |
| 12 | 47 | |
| 13 | 82 | |
| 14 | 27 | |
| 15 | 231 |
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.