Kisun Jun
Impact in
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- Neuroscience and Neuropharmacology Research
- Genetic Neurodegenerative Diseases
- Developmental Neuroscience top 10%
Papers in
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- Neuroscience and Neuropharmacology Research 5
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- Ion channel regulation and function 4
- Ubiquitin and proteasome pathways 1
- Protein Kinase Regulation and GTPase Signaling 1
- RNA Research and Splicing 1
- Co-authors
- Hee‐Sup Shin (13 shared papers)Seong‐Beom Lee (3 shared papers)Richard W. Tsien (2 shared papers)Erika S. Piedras-Renterı́a (2 shared papers)Hemin R. Chin (2 shared papers)David B. Wheeler (1 shared paper)Richard H. Scheller (1 shared paper)Stephen M. Smith (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Progress in brain research (1 paper)Experimental & Molecular Medicine (1 paper)Mammalian Genome (1 paper)Journal of Neurochemistry (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Kisun Jun
14 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 57
- Cellular and Molecular Neuroscience 440
- Developmental Neuroscience 42
- Sensory Systems 53
- Molecular Biology 620
- Psychiatry and Mental health 137
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 | 404 | |
| 2 | 1997 | 265 | |
| 3 | 1998 | 175 | |
| 4 | 2001 | 158 | |
| 5 | 2003 | 116 | |
| 6 | 2001 | 92 | |
| 7 | 2000 | 41 | |
| 8 | 2002 | 41 | |
| 9 | 2003 | 26 | |
| 10 | 2001 | 22 | |
| 11 | 2000 | 14 | |
| 12 | 2001 | 12 | |
| 13 | 2002 | 7 | |
| 14 | 2012 | 6 |
About Kisun Jun
Kisun Jun is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Endocrine and Autonomic Systems, Reproductive Medicine and Oncology, having authored 14 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Ion channel regulation and function (4 papers), Ubiquitin and proteasome pathways (1 paper), Protein Kinase Regulation and GTPase Signaling (1 paper), Genomic variations and chromosomal abnormalities (1 paper), RNA Research and Splicing (1 paper), Circadian rhythm and melatonin (1 paper) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (440 citations), Developmental Neuroscience (42 citations), Sensory Systems (53 citations), Molecular Biology (620 citations) and Psychiatry and Mental health (137 citations). Kisun Jun has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hee‐Sup Shin, Seong‐Beom Lee, Richard W. Tsien, Erika S. Piedras-Renterı́a, Hemin R. Chin, David B. Wheeler, Richard H. Scheller, Stephen M. Smith, Michael E. Adams and Taehoon G. Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Progress in brain research, Experimental & Molecular Medicine, Mammalian Genome 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.