Kei Eto

1.9k citations
39 papers · 1.6k · h-index 18

Impact in

  • Neurology top 1%
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Physiology top 5%
    • Pain Mechanisms and Treatments

Papers in

Kei Eto

37 papers receiving 1.6k citations

Peers

Kei Eto
Comparison fields: 5 of 63
  • Neurology 403
  • Physiology 239
  • Developmental Neuroscience 25
  • Cellular and Molecular Neuroscience 125
  • Sensory Systems 35
Replace Keisuke Shibata with:
Keisuke Shibata Japan
Csaba Cserép Hungary
Jamie McQueen United Kingdom
Rebecca L. Lowery United States
David J. Virley United Kingdom
Balázs Pósfai Hungary
Hong Lian China
Bernadeta Michalski Canada
Patrizia Longone Italy
Marco Milanese Italy
Kei Eto relative to Keisuke Shibata Japan Keisuke Shibata's profile →
Citations per field
00.5×2×3.2×
Keisuke Shibata · 1×
Citations per year

Countries citing papers authored by Kei Eto

Since Specialization
Citations

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

Fields of papers citing papers by Kei Eto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kei Eto, 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 Kei Eto Line = papers co-authored together Kei Eto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016545
2 2015141
3 2011113
4 2016110
5 201869
6 202156
7 201353
8 201451
9 202251
10 201244
11 202143
12 201838
13 200932
14 201227
15 201327
16 201026
17 200924
18 201724
19 201716
20 201913

About Kei Eto

Kei Eto is a scholar working on Cellular and Molecular Neuroscience, Physiology, Sensory Systems, Neurology and Physiology, having authored 39 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (9 papers), Pain Mechanisms and Treatments (7 papers), Ion Channels and Receptors (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Photochromic and Fluorescence Chemistry (2 papers), Epigenetics and DNA Methylation (1 paper), Mitochondrial Function and Pathology (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Neurology (403 citations), Physiology (239 citations), Developmental Neuroscience (25 citations), Cellular and Molecular Neuroscience (125 citations) and Sensory Systems (35 citations). Kei Eto has collaborated with scholars based in Japan, Australia and South Korea. Frequent co-authors include Junichi Nabekura, Hiroaki Wake, Andrew John Moorhouse, Akiko Miyamoto, Schuichi Koizumi, Hideji Murakoshi, Keisuke Shibata, Ayako Wendy Ishikawa, Yumiko Yoshimura and Hitoshi Ishibashi. Their work appears in journals such as Brain Research, Journal of Neuroscience, Nature Communications, Neuroscience Research and eNeuro.

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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