Keiko Kamakura

3.0k total citations
67 papers, 2.0k citations indexed

About

Keiko Kamakura is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Keiko Kamakura has authored 67 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Neurology, 27 papers in Cellular and Molecular Neuroscience and 18 papers in Molecular Biology. Recurrent topics in Keiko Kamakura's work include Peripheral Neuropathies and Disorders (11 papers), Muscle Physiology and Disorders (8 papers) and Hereditary Neurological Disorders (8 papers). Keiko Kamakura is often cited by papers focused on Peripheral Neuropathies and Disorders (11 papers), Muscle Physiology and Disorders (8 papers) and Hereditary Neurological Disorders (8 papers). Keiko Kamakura collaborates with scholars based in Japan, New Zealand and United States. Keiko Kamakura's co-authors include Kazuo Motoyoshi, Shoichi Ishiura, Hideo Sugita, Kenichi Kaida, Akira Hirata, Toshihiro Masaki, Susumu Kusunoki, Ikuya Nonaka, Hitoshi Mochizuki and Y Toyokura and has published in prestigious journals such as New England Journal of Medicine, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Keiko Kamakura

64 papers receiving 1.9k citations

Peers

Keiko Kamakura
Comparison fields: 5 of 106
  • Molecular Biology 756
  • Cellular and Molecular Neuroscience 572
  • Neurology 546
  • Nephrology 283
  • Pathology and Forensic Medicine 239
Replace Marco Luigetti with:
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Jia Nee Foo Singapore
Theodoros Kyriakides Cyprus
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Annika Keller Switzerland
Erik‐Jan Kamsteeg Netherlands
Teresinha Evangelista Portugal
Mario Sabatelli Italy
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Marco Luigetti Italy View profile →
Citations per field, relative to Keiko Kamakura
Keiko Kamakura · 1×
Citations per year, relative to Keiko Kamakura
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Countries citing papers authored by Keiko Kamakura

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Kamakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Kamakura

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Kamakura. A scholar is included among the top collaborators of Keiko Kamakura 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 Keiko Kamakura. Keiko Kamakura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 7
2 1
3 20
4 287
5 131
6 130
7 28
8 29
9 21
10 3
11 36
12 6
13 25
14 7
15 66
16 17
17 25
18 8
19 119
20 14

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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