Jun Kim

1.4k citations
63 papers · 1.0k · h-index 18

Impact in

  • Aging top 5%
    • Genetics, Aging, and Longevity in Model Organisms
    • Ion Channels and Receptors

Papers in

    • Ion channel regulation and function 14
    • Genomics and Phylogenetic Studies 8
    • CRISPR and Genetic Engineering 6
    • Pain Mechanisms and Treatments 10

Jun Kim

60 papers receiving 988 citations

Peers

Jun Kim
Comparison fields: 5 of 95
  • Aging 59
  • Sensory Systems 152
  • Cellular and Molecular Neuroscience 294
  • Neurology 119
  • Physiology 261
Replace Álvaro O. Ardiles with:
Álvaro O. Ardiles Chile
James P. Clement India
James W. Sharp United States
Miguel Verbitsky United States
Gareth Banks United Kingdom
René C. Renterı́a United States
Sandra Pieke-Dahl United States
Barry Ganetzky United States
Chang Man Ha South Korea
Svetlana Gapon United States
Jun Kim relative to Álvaro O. Ardiles Chile Álvaro O. Ardiles's profile →
Citations per field
00.5×1.5×2.3×
Álvaro O. Ardiles · 1×
Citations per year

Countries citing papers authored by Jun Kim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001152
2 200168
3 201156
4 201946
5 201743
6 199841
7 201037
8 200735
9 200432
10 201328
11 200027
12 201527
13 201426
14 200923
15 201120
16 200419
17 201219
18 201417
19 202117
20 200917

About Jun Kim

Jun Kim is a scholar working on Molecular Biology, Physiology, Plant Science, Cellular and Molecular Neuroscience and Sensory Systems, having authored 63 papers that have together received 1.0k indexed citations. Recurring topics across this work include Ion channel regulation and function (14 papers), Neuroscience and Neuropharmacology Research (10 papers), Pain Mechanisms and Treatments (10 papers), Chromosomal and Genetic Variations (9 papers), Genomics and Phylogenetic Studies (8 papers), Ion Channels and Receptors (6 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and CRISPR and Genetic Engineering (6 papers). The work is most often cited by research in Aging (59 citations), Sensory Systems (152 citations), Cellular and Molecular Neuroscience (294 citations), Neurology (119 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, Sung Jun Jung, Jiyeon Kwak, Yunju Jin, Yun Hwa Hong, Yun Kyung Park, Taehoon Lee, Hemin Chin and Joo Min Park. Their work appears in journals such as Biochemical and Biophysical Research Communications, Scientific Data, Nucleic Acids Research, G3 Genes Genomes Genetics and Genome Research.

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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