Sang‐Keun Kim
About
In The Last Decade
Sang‐Keun Kim
18 papers receiving 407 citations
Peers
Comparison fields: 5 of 97
- Molecular Biology 192
- Epidemiology 60
- Immunology 48
- Pharmacology 44
- Cancer Research 36
Countries citing papers authored by Sang‐Keun Kim
This map shows the geographic impact of Sang‐Keun Kim'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 Sang‐Keun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang‐Keun Kim more than expected).
Fields of papers citing papers by Sang‐Keun Kim
This network shows the impact of papers produced by Sang‐Keun Kim. 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 Sang‐Keun Kim. The network helps show where Sang‐Keun Kim may publish in the future.
Co-authorship network of co-authors of Sang‐Keun Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Sang‐Keun Kim. A scholar is included among the top collaborators of Sang‐Keun Kim 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 Sang‐Keun Kim. Sang‐Keun Kim 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 | 8 | |
| 3 | 28 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 78 | |
| 8 | 34 | |
| 9 | 49 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | 37 | |
| 15 | 11 | |
| 16 | 65 | |
| 17 | 49 | |
| 18 | Feasibility of Coculture Method forProduction of Chimeric Mice Using J1 Embryonic Stem Cells | 1 |
| 19 | 28 | |
| 20 | 11 |
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.