Kisun Jun

1.4k citations
16 papers · 1.1k indexed · h-index 13

Kisun Jun

15 papers receiving 1.1k citations

Peers

Kisun Jun
Comparison fields: 5 of 87
  • Cellular and Molecular Neuroscience 720
  • Developmental Neuroscience 79
  • Sensory Systems 76
  • Neurology 127
  • Molecular Biology 761
Replace Yasuhiro Kakazu with:
Yasuhiro Kakazu Japan
J.J. Barski Poland
Chen Gu United States
Agustín Castañeyra-Perdomo Spain
Yury D. Bogdanov United Kingdom
Manja Schubert Germany
CM Gall United States
Scott A. Mackler United States
Pascal Bochet France
Erika S. Piedras-Renterı́a United States
Kisun Jun relative to Yasuhiro Kakazu Japan Yasuhiro Kakazu's profile →
Citations per field
00.5×1.7×
Yasuhiro Kakazu · 1×
Citations per year

Countries citing papers authored by Kisun Jun

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Kisun Jun Line = papers co-authored together Kisun Jun links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 20250
2 20126
3 200836
4 200326
5 2003107
6 20027
7 200235
8 200120
9 200186
10 200112
11 2001139
12 200031
13 200015
14 1999372
15 1998160
16 199873

About Kisun Jun

Kisun Jun is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Neurology, Condensed Matter Physics and Microbiology, having authored 16 papers that have together received 1.1k 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), Photoreceptor and optogenetics research (1 paper), Atomic and Subatomic Physics Research (1 paper) and Pain Mechanisms and Treatments (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (720 citations), Developmental Neuroscience (79 citations), Sensory Systems (76 citations), Neurology (127 citations) and Molecular Biology (761 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, Richard H. Scheller, Taehoon G. Lee, David B. Wheeler and Michael E. Adams. Their work appears in journals such as Proceedings of the National Academy of Sciences, IEEE Transactions on Applied Superconductivity, Journal of Assisted Reproduction and Genetics, Experimental & Molecular Medicine and European Journal of Neuroscience.

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.

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2026