Jun Kimura

17 total papers · 691 total citations
17 papers, 547 citations indexed

About

Jun Kimura is a scholar working on Neurology, Physiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Jun Kimura has authored 17 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Neurology, 7 papers in Physiology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Jun Kimura's work include Botulinum Toxin and Related Neurological Disorders (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Jun Kimura is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Alzheimer's disease research and treatments (3 papers). Jun Kimura collaborates with scholars based in Japan, United States and Canada. Jun Kimura's co-authors include Ichiro Akiguchi, Nobuo Kohara, Ryuji Kaji, Tamotsu Kubori, Hidekazu Tomimoto, Hidenao Fukuyama, Masaki Nishimura, Yasuomi Ouchi, Yasuhiro Nagahama and Hiroshi Yamauchi and has published in prestigious journals such as Brain Research, European Journal of Biochemistry and Epilepsia.

In The Last Decade

Jun Kimura

17 papers receiving 532 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Kimura 219 137 129 110 86 17 547
Saran Jonas 112 0.5× 65 0.5× 41 0.3× 83 0.8× 61 0.7× 24 550
Núria Setó‐Salvia 201 0.9× 99 0.7× 188 1.5× 140 1.3× 63 0.7× 10 464
Matthew Adams 211 1.0× 116 0.8× 113 0.9× 219 2.0× 115 1.3× 25 609
P. Aubineau 174 0.8× 154 1.1× 139 1.1× 115 1.0× 54 0.6× 32 579
E. J. Muñoz‐Martínez 60 0.3× 280 2.0× 66 0.5× 123 1.1× 70 0.8× 23 471
Magdalena Lang 122 0.6× 64 0.5× 184 1.4× 54 0.5× 127 1.5× 25 511
Kelly A. Eddinger 75 0.3× 166 1.2× 330 2.6× 165 1.5× 43 0.5× 17 598
Elena Zotova 48 0.2× 176 1.3× 89 0.7× 184 1.7× 37 0.4× 22 501
Carlo Wilke 304 1.4× 138 1.0× 150 1.2× 144 1.3× 109 1.3× 24 553
Jörg Magerkurth 248 1.1× 95 0.7× 111 0.9× 138 1.3× 70 0.8× 12 551

Countries citing papers authored by Jun Kimura

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kimura

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kimura. A scholar is included among the top collaborators of Jun Kimura based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Kimura. Jun Kimura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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