Kisun Jun
Impact in
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
Papers in
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- Ion channel regulation and function 5
- Ubiquitin and proteasome pathways 1
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- Neuroscience and Neuropharmacology Research 7
- Neuroscience and Neural Engineering 3
- Co-authors
- Hee‐Sup Shin (4 shared papers)Hee‐Sup Shin (7 shared papers)Richard W. Tsien (2 shared papers)Erika S. Piedras-Renterı́a (2 shared papers)Hemin Chin (2 shared papers)Seong‐Beom Lee (2 shared papers)Taehoon G. Lee (1 shared paper)Michael E. Adams (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Mammalian Genome (1 paper)Learning & Memory (1 paper)IEEE Transactions on Applied Superconductivity (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kisun Jun
15 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 769
- Developmental Neuroscience 81
- Sensory Systems 80
- Neurology 136
- Molecular Biology 802
Countries citing papers authored by Kisun Jun
This map shows the geographic impact of Kisun Jun'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 Kisun Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kisun Jun more than expected).
Fields of papers citing papers by Kisun Jun
This network shows the impact of papers produced by Kisun Jun. 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 Kisun Jun. The network helps show where Kisun Jun may publish in the future.
Co-authors
The 25 scholars most cited alongside Kisun Jun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 402 | |
| 2 | 1998 | 167 | |
| 3 | 2001 | 152 | |
| 4 | 2003 | 116 | |
| 5 | 2001 | 93 | |
| 6 | 1998 | 75 | |
| 7 | 2000 | 40 | |
| 8 | 2002 | 39 | |
| 9 | 2008 | 38 | |
| 10 | 2003 | 26 | |
| 11 | 2001 | 23 | |
| 12 | 2000 | 15 | |
| 13 | 2001 | 12 | |
| 14 | 2002 | 7 | |
| 15 | 2012 | 6 |
About Kisun Jun
Kisun Jun is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience and Surgery, having authored 15 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (5 papers), Neuroscience and Neural Engineering (3 papers), Vestibular and auditory disorders (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Ubiquitin and proteasome pathways (1 paper), Circadian rhythm and melatonin (1 paper) and Diabetes and associated disorders (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (769 citations), Developmental Neuroscience (81 citations), Sensory Systems (80 citations), Neurology (136 citations) and Molecular Biology (802 citations). Kisun Jun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hee‐Sup Shin, Hee‐Sup Shin, Richard W. Tsien, Erika S. Piedras-Renterı́a, Hemin Chin, Seong‐Beom Lee, Taehoon G. Lee, Michael E. Adams, David B. Wheeler and Richard H. Scheller. Their work appears in journals such as Proceedings of the National Academy of Sciences, Mammalian Genome, Learning & Memory, IEEE Transactions on Applied Superconductivity and Journal of Neurochemistry.
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.