Jun Kim
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Sensory Systems top 2%
- Ion Channels and Receptors
Papers in
-
- Ion channel regulation and function 14
- Genomics and Phylogenetic Studies 11
- CRISPR and Genetic Engineering 7
- Physiology 18
- Pain Mechanisms and Treatments 10
- Co-authors
- Sang Jeong Kim (19 shared papers)Junho Lee (13 shared papers)Jiyeon Kwak (4 shared papers)Yunju Jin (4 shared papers)Yun Hwa Hong (5 shared papers)Yun Kyung Park (3 shared papers)Maureen W. McEnery (1 shared paper)Kisun Jun (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Scientific Data (4 papers)Nucleic Acids Research (3 papers)Nature Communications (2 papers)NeuroImage (2 papers)
- Partner nations
- South KoreaUnited StatesEthiopia
In The Last Decade
Jun Kim
60 papers receiving 938 citations
Peers
Comparison fields: 5 of 94
- Aging 69
- Sensory Systems 149
- Cellular and Molecular Neuroscience 287
- Neurology 113
- Physiology 261
Countries citing papers authored by Jun Kim
This map shows the geographic impact of Jun 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 Jun Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kim more than expected).
Fields of papers citing papers by Jun Kim
This network shows the impact of papers produced by Jun 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 Jun Kim. The network helps show where Jun Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 139 | |
| 2 | 2001 | 67 | |
| 3 | 2011 | 52 | |
| 4 | 2019 | 46 | |
| 5 | 2017 | 42 | |
| 6 | 1998 | 39 | |
| 7 | 2010 | 36 | |
| 8 | 2007 | 33 | |
| 9 | 2004 | 31 | |
| 10 | 2015 | 27 | |
| 11 | 2013 | 27 | |
| 12 | 2014 | 25 | |
| 13 | 2000 | 24 | |
| 14 | 2009 | 22 | |
| 15 | 2011 | 20 | |
| 16 | 2004 | 18 | |
| 17 | 2012 | 18 | |
| 18 | 2014 | 17 | |
| 19 | 2009 | 17 | |
| 20 | 2023 | 16 |
About Jun Kim
Jun Kim is a scholar working on Molecular Biology, Physiology, Plant Science, Cellular and Molecular Neuroscience and Genetics, having authored 63 papers that have together received 951 indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Genomics and Phylogenetic Studies (11 papers), Chromosomal and Genetic Variations (11 papers), Pain Mechanisms and Treatments (10 papers), Neuroscience and Neuropharmacology Research (10 papers), Genetics, Aging, and Longevity in Model Organisms (8 papers), CRISPR and Genetic Engineering (7 papers) and Ion Channels and Receptors (6 papers). The work is most often cited by research in Aging (69 citations), Sensory Systems (149 citations), Cellular and Molecular Neuroscience (287 citations), Neurology (113 citations) and Physiology (261 citations). Jun Kim has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Sang Jeong Kim, Junho Lee, Jiyeon Kwak, Yunju Jin, Yun Hwa Hong, Yun Kyung Park, Maureen W. McEnery, Kisun Jun, Hee‐Sup Shin and Hyung‐Lae Kim. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Data, Nucleic Acids Research, Nature Communications and NeuroImage.
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.