Jun Kunimatsu

750 citations
26 papers · 428 · h-index 13

Impact in

    • Neural dynamics and brain function
    • Neuroscience and Music Perception
    • Neural and Behavioral Psychology Studies
    • Visual perception and processing mechanisms
    • Memory and Neural Mechanisms
    • Functional Brain Connectivity Studies
  • Neurology top 10%
    • Vestibular and auditory disorders

Papers in

    • Neural dynamics and brain function 14
    • Memory and Neural Mechanisms 6
    • Neuroscience and Music Perception 6
    • Neural and Behavioral Psychology Studies 4
    • Hearing Loss and Rehabilitation 2
    • Face Recognition and Perception 2
    • Neuroscience and Neuropharmacology Research 4

Jun Kunimatsu

22 papers receiving 424 citations

Peers

Jun Kunimatsu
Comparison fields: 5 of 60
  • Cognitive Neuroscience 333
  • Neurology 90
  • Sensory Systems 40
  • Cellular and Molecular Neuroscience 105
  • Developmental Biology 9
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Citations per field
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Citations per year

Countries citing papers authored by Jun Kunimatsu

Since Specialization
Citations

This map shows the geographic impact of Jun Kunimatsu'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 Kunimatsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kunimatsu more than expected).

Fields of papers citing papers by Jun Kunimatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Kunimatsu. 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 Kunimatsu. The network helps show where Jun Kunimatsu may publish in the future.

Co-authors

The 24 scholars most cited alongside Jun Kunimatsu, 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 Kunimatsu Line = papers co-authored together Jun Kunimatsu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201051
2 201851
3 201748
4 201836
5 202035
6 201134
7 202132
8 201225
9 201623
10 201620
11 202017
12 201613
13 201812
14 20116
15 20155
16 20215
17 20234
18 20234
19
[Neural representation of time].
20134
20 20221

About Jun Kunimatsu

Jun Kunimatsu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Molecular Biology, Sensory Systems and Endocrine and Autonomic Systems, having authored 26 papers that have together received 428 indexed citations. Recurring topics across this work include Neural dynamics and brain function (14 papers), Memory and Neural Mechanisms (6 papers), Neuroscience and Music Perception (6 papers), Neural and Behavioral Psychology Studies (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Hearing Loss and Rehabilitation (2 papers), Face Recognition and Perception (2 papers) and Vestibular and auditory disorders (2 papers). The work is most often cited by research in Cognitive Neuroscience (333 citations), Neurology (90 citations), Sensory Systems (40 citations), Cellular and Molecular Neuroscience (105 citations) and Developmental Biology (9 citations). Jun Kunimatsu has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Masaki Tanaka, Shogo Ohmae, Tomoki Suzuki, Okihide Hikosaka, Kazutaka Maeda, Hiroshi Yamada, Masayuki Matsumoto, Masahiko Takada, Ken‐ichi Inoue and HyungGoo R. Kim. Their work appears in journals such as Journal of Neuroscience, eNeuro, iScience, Neuroscience 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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