S. U. Kim
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Glycosylation and Glycoproteins Research 3
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- Neurogenesis and neuroplasticity mechanisms 8
- Co-authors
- Douglas G. Walker (2 shared papers)Patrick L. McGeer (2 shared papers)J. Satoh (3 shared papers)V. Wee Yong (5 shared papers)Giuseppe Moretto (2 shared papers)Ren Xu (2 shared papers)G. Moretto (4 shared papers)Robert K. Yu (1 shared paper)
- Journals
- Acta Neuropathologica (3 papers)Journal of Neuropathology & Experimental Neurology (2 papers)Journal of Neurochemistry (2 papers)Glia (1 paper)Journal of General Virology (1 paper)
- Partner nations
- CanadaJapanUnited States
In The Last Decade
S. U. Kim
21 papers receiving 932 citations
Peers
Comparison fields: 5 of 77
- Developmental Neuroscience 262
- Neurology 262
- Cellular and Molecular Neuroscience 312
- Biological Psychiatry 31
- Immunology 150
Countries citing papers authored by S. U. Kim
This map shows the geographic impact of S. U. 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 S. U. Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. U. Kim more than expected).
Fields of papers citing papers by S. U. Kim
This network shows the impact of papers produced by S. U. 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 S. U. Kim. The network helps show where S. U. Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside S. U. Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 211 | |
| 2 | 1986 | 95 | |
| 3 | 1994 | 64 | |
| 4 | 1988 | 60 | |
| 5 | 2000 | 55 | |
| 6 | 1993 | 55 | |
| 7 | 1988 | 50 | |
| 8 | 1995 | 48 | |
| 9 | 1991 | 40 | |
| 10 | 1994 | 39 | |
| 11 | 2001 | 37 | |
| 12 | 1993 | 33 | |
| 13 | 1988 | 33 | |
| 14 | 1994 | 30 | |
| 15 | 1984 | 22 | |
| 16 | 1989 | 19 | |
| 17 | 1991 | 16 | |
| 18 | 1984 | 16 | |
| 19 | 1992 | 13 | |
| 20 | 1992 | 11 |
About S. U. Kim
S. U. Kim is a scholar working on Molecular Biology, Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology and Physiology, having authored 21 papers that have together received 950 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (8 papers), Nerve injury and regeneration (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Alzheimer's disease research and treatments (3 papers), Glycosylation and Glycoproteins Research (3 papers), MicroRNA in disease regulation (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Developmental Neuroscience (262 citations), Neurology (262 citations), Cellular and Molecular Neuroscience (312 citations), Biological Psychiatry (31 citations) and Immunology (150 citations). S. U. Kim has collaborated with scholars based in Canada, Japan and United States. Frequent co-authors include Douglas G. Walker, Patrick L. McGeer, J. Satoh, V. Wee Yong, Giuseppe Moretto, Ren Xu, G. Moretto, Robert K. Yu, S Sekiguchi and Joon H. Uhm. Their work appears in journals such as Acta Neuropathologica, Journal of Neuropathology & Experimental Neurology, Journal of Neurochemistry, Glia and Journal of General Virology.
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.