Yukiko Matsuda
- Physiology top 10%
- Alzheimer's disease research and treatments 7
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- Genetic Neurodegenerative Diseases 5
- Cell Biology top 10%
- Neurology top 10%
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- Mitochondrial Function and Pathology 5
- Prion Diseases and Protein Misfolding 3
- DNA Repair Mechanisms 2
- Nuclear Structure and Function 2
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- Advanced Cellulose Research Studies 4
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- Metabolism and Genetic Disorders 3
- Co-authors
- Luciano D'adamioShuji MatsudaLuciano D’AdamioEileen McGowanLuca GilibertoHiroyuki MorinoHideshi KawakamiRyosuke Ohsawa
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)Journal of Neuroscience (1 paper)
- Partner nations
- JapanUnited StatesSpain
In The Last Decade
Yukiko Matsuda
30 papers receiving 845 citations
Peers
Comparison fields: 5 of 88
- Physiology 310
- Cellular and Molecular Neuroscience 201
- Cell Biology 146
- Neurology 66
- Molecular Biology 455
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
The 25 scholars most cited alongside Yukiko Matsuda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 6 | |
| 4 | 2020 | 9 | |
| 5 | 2020 | 7 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 8 | |
| 9 | Liquorice flavonoid oil increased skeletal muscle thickness as assessed by ultrasound in training football athletes | 2016 | 1 |
| 10 | 2015 | 77 | |
| 11 | 2014 | 12 | |
| 12 | 2009 | 45 | |
| 13 | 2009 | 51 | |
| 14 | 2009 | 59 | |
| 15 | 2008 | 81 | |
| 16 | 2008 | 10 | |
| 17 | 2005 | 114 | |
| 18 | 2003 | 30 | |
| 19 | 2003 | 82 | |
| 20 | 1989 | 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), Genetic Neurodegenerative Diseases (5 papers), Advanced Cellulose Research Studies (4 papers), Metabolism and Genetic Disorders (3 papers), Prion Diseases and Protein Misfolding (3 papers), DNA Repair Mechanisms (2 papers) and Nuclear Structure and Function (2 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.