Yukiko Matsuda
- Molecular Biology
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Genetics
- Co-authors
- Luciano D'adamioShuji MatsudaLuciano D’AdamioEileen McGowanLuca GilibertoHiroyuki MorinoHideshi KawakamiRyosuke Ohsawa
- Topics
- Alzheimer's disease research and treatments (7 papers)Mitochondrial Function and Pathology (5 papers)Genetic Neurodegenerative Diseases (5 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Neuroscience
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Yukiko Matsuda
30 papers receiving 845 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 455
- Physiology 310
- Cellular and Molecular Neuroscience 201
- Cell Biology 146
- Genetics 111
Countries citing papers authored by Yukiko Matsuda
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
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
| # | 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 |
About Yukiko Matsuda
Yukiko Matsuda is a scholar working on Cellular and Molecular Neuroscience, Clinical Biochemistry and Biomaterials, having authored 31 papers that have together received 853 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Mitochondrial Function and Pathology (5 papers) and Genetic Neurodegenerative Diseases (5 papers). The work is most often cited by research in Physiology (310 citations), Cellular and Molecular Neuroscience (201 citations) and Cell Biology (146 citations). Yukiko Matsuda has collaborated with scholars based in Japan, United States and Spain. Frequent 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. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.
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.