Wakoto Matsuda
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- Neuroscience and Neuropharmacology Research 2
- Cerebrospinal fluid and hydrocephalus 2
- Nerve injury and regeneration 2
- Neurology top 2%
- Neurosurgical Procedures and Complications 3
- Neurological disorders and treatments 2
- Cerebral Venous Sinus Thrombosis 2
- Cognitive Neuroscience top 10%
- Structural Biology top 10%
- Developmental Neuroscience top 10%
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- Traumatic Brain Injury Research 2
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- Cerebrovascular and Carotid Artery Diseases 2
Wakoto Matsuda
19 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Cellular and Molecular Neuroscience 642
- Neurology 479
- Cognitive Neuroscience 248
- Structural Biology 14
- Developmental Neuroscience 36
Countries citing papers authored by Wakoto Matsuda
This map shows the geographic impact of Wakoto 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 Wakoto Matsuda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wakoto Matsuda more than expected).
Fields of papers citing papers by Wakoto Matsuda
This network shows the impact of papers produced by Wakoto 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 Wakoto Matsuda. The network helps show where Wakoto Matsuda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wakoto 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 | 2018 | 3 | |
| 2 | 2018 | 12 | |
| 3 | 2017 | 7 | |
| 4 | 2017 | 7 | |
| 5 | 2015 | 40 | |
| 6 | 2013 | 21 | |
| 7 | 2013 | 3 | |
| 8 | 2013 | 2 | |
| 9 | 2012 | 8 | |
| 10 | 2011 | 189 | |
| 11 | 2010 | 8 | |
| 12 | Single Nigrostriatal Dopaminergic Neurons Form Widely Spread and Highly Dense Axonal Arborizations in the Neostriatumbreakdown → | 2009 | 579 |
| 13 | 2008 | 22 | |
| 14 | 2008 | 39 | |
| 15 | 2006 | 2 | |
| 16 | 2005 | 44 | |
| 17 | [Multiple extracranial metastases from a meningeal hemangiopericytoma and severe hypoglycemia: a case report]. | 2004 | 4 |
| 18 | 2003 | 49 | |
| 19 | [Clinical usefulness of diffusion-weighted magnetic resonance imaging in patients with ischemic cerebrovascular disease]. | 2000 | 1 |
About Wakoto Matsuda
Wakoto Matsuda is a scholar working on Structural Biology, Neurology and Biological Psychiatry, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurosurgical Procedures and Complications (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Traumatic Brain Injury Research (2 papers), Neurological disorders and treatments (2 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Nerve injury and regeneration (2 papers), Cerebral Venous Sinus Thrombosis (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (642 citations), Neurology (479 citations) and Cognitive Neuroscience (248 citations). Wakoto Matsuda has collaborated with scholars based in Japan. Frequent co-authors include Takahiro Furuta, Fumino Fujiyama, Takeshi Kaneko, Kouichi Nakamura, Hiroyuki Hioki, Ryohachi Arai, T. Nakano, Jaerin Sohn, Kiyoyuki Yanaka and Yoji Komatsu. Their work appears in journals such as Journal of Neuroscience, Journal of Neurology Neurosurgery & Psychiatry and European 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.