Noriyuki Matsuda
- Neurology top 0.5%
- Parkinson's Disease Mechanisms and Treatments 22
- Epidemiology top 0.2%
- Autophagy in Disease and Therapy 45
- Molecular Biology top 1%
- Ubiquitin and proteasome pathways 28
- Mitochondrial Function and Pathology 21
- Cell Biology top 0.5%
- Endoplasmic Reticulum Stress and Disease 12
- Cellular transport and secretion 5
- Physiology top 0.5%
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- EEG and Brain-Computer Interfaces 5
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- Genetic Neurodegenerative Diseases 4
- Co-authors
- Keiji TanakaKei OkatsuMayumi KimuraKoji YamanoFumika KoyanoMiyuki SatoMashun OnishiKoji Okamoto
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Noriyuki Matsuda
112 papers receiving 8.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Neurology 2.0k
- Epidemiology 4.4k
- Molecular Biology 5.5k
- Cell Biology 1.3k
- Physiology 334
Countries citing papers authored by Noriyuki Matsuda
This map shows the geographic impact of Noriyuki 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 Noriyuki Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noriyuki Matsuda more than expected).
Fields of papers citing papers by Noriyuki Matsuda
This network shows the impact of papers produced by Noriyuki 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 Noriyuki Matsuda. The network helps show where Noriyuki Matsuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Noriyuki 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 | 2025 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 31 | |
| 5 | 2024 | 9 | |
| 6 | 2024 | 3 | |
| 7 | 2023 | 25 | |
| 8 | 2023 | 0 | |
| 9 | 2021 | 6 | |
| 10 | 2021 | 32 | |
| 11 | Molecular mechanisms and physiological functions of mitophagybreakdown → | 2021 | 932 |
| 12 | 2021 | 14 | |
| 13 | 2020 | 150 | |
| 14 | 2019 | 42 | |
| 15 | 2019 | 90 | |
| 16 | 2018 | 32 | |
| 17 | 2018 | 127 | |
| 18 | 2013 | 1 | |
| 19 | 2013 | 175 | |
| 20 | [Role of mitophagy in hereditary Parkinson's disease]. | 2012 | 1 |
About Noriyuki Matsuda
Noriyuki Matsuda is a scholar working on Neurology, Epidemiology and Human-Computer Interaction, having authored 118 papers that have together received 8.4k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (45 papers), Ubiquitin and proteasome pathways (28 papers), Parkinson's Disease Mechanisms and Treatments (22 papers), Mitochondrial Function and Pathology (21 papers), Endoplasmic Reticulum Stress and Disease (12 papers), EEG and Brain-Computer Interfaces (5 papers), Cellular transport and secretion (5 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Neurology (2.0k citations), Epidemiology (4.4k citations) and Molecular Biology (5.5k citations). Noriyuki Matsuda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Keiji Tanaka, Kei Okatsu, Mayumi Kimura, Koji Yamano, Fumika Koyano, Miyuki Sato, Mashun Onishi, Koji Okamoto, Nobutaka Hattori and Hidetaka Kosako. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.