Hye Won Seol
About
In The Last Decade
Hye Won Seol
7 papers receiving 577 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 506
- Surgery 104
- Biomedical Engineering 92
- Physiology 65
- Cancer Research 63
Countries citing papers authored by Hye Won Seol
This map shows the geographic impact of Hye Won Seol'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 Hye Won Seol with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hye Won Seol more than expected).
Fields of papers citing papers by Hye Won Seol
This network shows the impact of papers produced by Hye Won Seol. 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 Hye Won Seol. The network helps show where Hye Won Seol may publish in the future.
Co-authorship network of co-authors of Hye Won Seol
This figure shows the co-authorship network connecting the top 25 collaborators of Hye Won Seol. A scholar is included among the top collaborators of Hye Won Seol 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 Hye Won Seol. Hye Won Seol is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 387 | |
| 5 | 125 | |
| 6 | 62 | |
| 7 | Fragile X Premutation in Patients with Idiopathic Premature Ovarian Failure | 2 |
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.