Hyoju Yi
About
In The Last Decade
Hyoju Yi
18 papers receiving 625 citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 313
- Oncology 159
- Immunology 151
- Rheumatology 122
- Genetics 82
Countries citing papers authored by Hyoju Yi
This map shows the geographic impact of Hyoju Yi'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 Hyoju Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoju Yi more than expected).
Fields of papers citing papers by Hyoju Yi
This network shows the impact of papers produced by Hyoju Yi. 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 Hyoju Yi. The network helps show where Hyoju Yi may publish in the future.
Co-authorship network of co-authors of Hyoju Yi
This figure shows the co-authorship network connecting the top 25 collaborators of Hyoju Yi. A scholar is included among the top collaborators of Hyoju Yi 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 Hyoju Yi. Hyoju Yi 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 | 1 | |
| 3 | 39 | |
| 4 | 111 | |
| 5 | 31 | |
| 6 | 39 | |
| 7 | 51 | |
| 8 | 31 | |
| 9 | 11 | |
| 10 | 5 | |
| 11 | 4 | |
| 12 | 20 | |
| 13 | 42 | |
| 14 | 14 | |
| 15 | 18 | |
| 16 | 21 | |
| 17 | 50 | |
| 18 | 121 | |
| 19 | 32 |
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.