Phil Youl Ryu
About
In The Last Decade
Phil Youl Ryu
11 papers receiving 373 citations
Peers
Comparison fields: 5 of 55
- Endocrinology 263
- Molecular Biology 216
- Immunology 139
- Genetics 92
- Food Science 60
Countries citing papers authored by Phil Youl Ryu
This map shows the geographic impact of Phil Youl Ryu'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 Phil Youl Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phil Youl Ryu more than expected).
Fields of papers citing papers by Phil Youl Ryu
This network shows the impact of papers produced by Phil Youl Ryu. 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 Phil Youl Ryu. The network helps show where Phil Youl Ryu may publish in the future.
Co-authorship network of co-authors of Phil Youl Ryu
This figure shows the co-authorship network connecting the top 25 collaborators of Phil Youl Ryu. A scholar is included among the top collaborators of Phil Youl Ryu 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 Phil Youl Ryu. Phil Youl Ryu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 14 | |
| 3 | 3 | |
| 4 | 10 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 52 | |
| 9 | 195 | |
| 10 | 38 | |
| 11 | 55 |
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.