Sun Hae Hong
About
In The Last Decade
Sun Hae Hong
8 papers receiving 415 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 302
- Cell Biology 247
- Genetics 41
- Physiology 34
- Pulmonary and Respiratory Medicine 33
Countries citing papers authored by Sun Hae Hong
This map shows the geographic impact of Sun Hae Hong'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 Sun Hae Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Hae Hong more than expected).
Fields of papers citing papers by Sun Hae Hong
This network shows the impact of papers produced by Sun Hae Hong. 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 Sun Hae Hong. The network helps show where Sun Hae Hong may publish in the future.
Co-authorship network of co-authors of Sun Hae Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Sun Hae Hong. A scholar is included among the top collaborators of Sun Hae Hong 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 Sun Hae Hong. Sun Hae Hong 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 | 1 | |
| 4 | 3 | |
| 5 | 46 | |
| 6 | 132 | |
| 7 | 32 | |
| 8 | 33 | |
| 9 | 170 |
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.