Ja Youn Lee
About
In The Last Decade
Ja Youn Lee
13 papers receiving 449 citations
Peers
Comparison fields: 5 of 58
- Surgery 207
- Radiology, Nuclear Medicine and Imaging 113
- Oncology 107
- Endocrinology, Diabetes and Metabolism 88
- Epidemiology 81
Countries citing papers authored by Ja Youn Lee
This map shows the geographic impact of Ja Youn Lee'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 Ja Youn Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ja Youn Lee more than expected).
Fields of papers citing papers by Ja Youn Lee
This network shows the impact of papers produced by Ja Youn Lee. 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 Ja Youn Lee. The network helps show where Ja Youn Lee may publish in the future.
Co-authorship network of co-authors of Ja Youn Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Ja Youn Lee. A scholar is included among the top collaborators of Ja Youn Lee 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 Ja Youn Lee. Ja Youn Lee 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 | 1 | |
| 3 | 18 | |
| 4 | 15 | |
| 5 | 26 | |
| 6 | 2 | |
| 7 | 85 | |
| 8 | 64 | |
| 9 | 76 | |
| 10 | 30 | |
| 11 | 21 | |
| 12 | 78 | |
| 13 | 33 |
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.