Keiko Matsuda

2.7k total citations
31 papers, 1.9k citations indexed

About

Keiko Matsuda is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Keiko Matsuda has authored 31 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Cellular and Molecular Neuroscience, 18 papers in Molecular Biology and 9 papers in Neurology. Recurrent topics in Keiko Matsuda's work include Neuroscience and Neuropharmacology Research (22 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Ion channel regulation and function (7 papers). Keiko Matsuda is often cited by papers focused on Neuroscience and Neuropharmacology Research (22 papers), Neuroinflammation and Neurodegeneration Mechanisms (8 papers) and Ion channel regulation and function (7 papers). Keiko Matsuda collaborates with scholars based in Japan, United States and United Kingdom. Keiko Matsuda's co-authors include Michisuke Yuzaki, Masahiko Watanabe, Wataru Kakegawa, Eriko Miura, Shinji Matsuda, Yoshinori Kamiya, Kazuhisa Kohda, Taisuke Miyazaki, Kyoichi Emi and Junko Motohashi and has published in prestigious journals such as Science, Journal of Biological Chemistry and Neuron.

In The Last Decade

Keiko Matsuda

31 papers receiving 1.9k citations

Peers

Keiko Matsuda
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 1.3k
  • Molecular Biology 1.1k
  • Neurology 322
  • Developmental Neuroscience 254
  • Cell Biology 251
Replace Kazuhisa Kohda with:
Kazuhisa Kohda Japan
Wanhua Shen China
Rie Natsume Japan
Wataru Kakegawa Japan
Nobutsune Ichihara Japan
Kate Prybylowski United States
Elena Pravettoni Italy
Jeong Seop Rhee Germany
Cendra Agulhon France
Ana María López‐Colomé Mexico
Kazuhisa Kohda Japan View profile →
Citations per field, relative to Keiko Matsuda
Keiko Matsuda · 1×
Citations per year, relative to Keiko Matsuda
Keiko Matsuda · 1×

Countries citing papers authored by Keiko Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Keiko Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keiko Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Keiko Matsuda. A scholar is included among the top collaborators of Keiko Matsuda 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 Matsuda. Keiko Matsuda 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 2
2 9
3 13
4 31
5 132
6 133
7 74
8 5
9 131
10 142
11 271
12 31
13 22
14 33
15 45
16 8
17 33
18 12
19 151
20 97

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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