Yukiko Matsuda

1.2k total citations
31 papers, 853 citations indexed

About

Yukiko Matsuda is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yukiko Matsuda has authored 31 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 7 papers in Physiology. Recurrent topics in Yukiko Matsuda's work include Alzheimer's disease research and treatments (7 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Yukiko Matsuda is often cited by papers focused on Alzheimer's disease research and treatments (7 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). Yukiko Matsuda collaborates with scholars based in Japan, United States and Spain. Yukiko Matsuda's co-authors include Luciano D'adamio, Shuji Matsuda, Shuji Matsuda, Luciano D’Adamio, Eileen McGowan, Luca Giliberto, Hiroyuki Morino, Hideshi Kawakami, Ryosuke Ohsawa and Erik L. Snapp and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

In The Last Decade

Yukiko Matsuda

30 papers receiving 845 citations

Peers

Yukiko Matsuda
Comparison fields: 5 of 88
  • Molecular Biology 455
  • Physiology 310
  • Cellular and Molecular Neuroscience 201
  • Cell Biology 146
  • Genetics 111
Replace Eva Teuling with:
Eva Teuling Netherlands
D. Sau Italy
Stephanie García United States
Rut Fadó Spain
James Bilsland United Kingdom
Dina N. Arvanitis France
Stephen Hague United States
Andrew B. McGeachie Australia
Roger Tremblay Canada
Wolfgang Quitschke United States
Eva Teuling Netherlands View profile →
Citations per field, relative to Yukiko Matsuda
Yukiko Matsuda · 1×
Citations per year, relative to Yukiko Matsuda
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Countries citing papers authored by Yukiko Matsuda

Since Specialization
Citations

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

Fields of papers citing papers by Yukiko Matsuda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yukiko Matsuda

This figure shows the co-authorship network connecting the top 25 collaborators of Yukiko Matsuda. A scholar is included among the top collaborators of Yukiko 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 Yukiko Matsuda. Yukiko 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 0
2 2
3 6
4 9
5 7
6 4
7 8
8 8
9
Liquorice flavonoid oil increased skeletal muscle thickness as assessed by ultrasound in training football athletes
1
10 77
11 12
12 45
13 51
14 59
15 81
16 10
17 114
18 30
19 82
20 2

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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