Dai Matsuse

2.7k total citations
27 papers, 1.3k citations indexed

About

Dai Matsuse is a scholar working on Neurology, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Dai Matsuse has authored 27 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Neurology, 12 papers in Cellular and Molecular Neuroscience and 10 papers in Molecular Biology. Recurrent topics in Dai Matsuse's work include Peripheral Neuropathies and Disorders (7 papers), Multiple Sclerosis Research Studies (7 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Dai Matsuse is often cited by papers focused on Peripheral Neuropathies and Disorders (7 papers), Multiple Sclerosis Research Studies (7 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Dai Matsuse collaborates with scholars based in Japan, United States and Germany. Dai Matsuse's co-authors include Jun‐ichi Kira, Ryo Yamasaki, Hiroyuki Murai, Takuya Matsushita, Mari Dezawa, Shohei Wakao, Tomomi Yonekawa, Masaaki Kitada, Hidenori Ogata and Nobutoshi Kawamura and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Dai Matsuse

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dai Matsuse Japan 14 538 484 415 353 242 27 1.3k
Benjamin Ellezam Canada 18 734 1.4× 358 0.7× 647 1.6× 401 1.1× 425 1.8× 51 1.9k
Hyung Chun Park South Korea 16 359 0.7× 148 0.3× 243 0.6× 420 1.2× 365 1.5× 23 1.0k
Marina Scarlato Italy 22 493 0.9× 450 0.9× 491 1.2× 82 0.2× 191 0.8× 43 1.3k
Scott M. Gianino United States 21 298 0.6× 742 1.5× 483 1.2× 63 0.2× 435 1.8× 23 1.8k
Shinichi Oka Japan 20 188 0.3× 149 0.3× 347 0.8× 178 0.5× 368 1.5× 59 1.0k
Haesun A. Kim United States 18 834 1.6× 353 0.7× 604 1.5× 91 0.3× 89 0.4× 25 1.6k
Sabine Wislet‐Gendebien Belgium 19 401 0.7× 128 0.3× 506 1.2× 205 0.6× 621 2.6× 29 1.3k
Mercedes Zurita Spain 25 581 1.1× 243 0.5× 389 0.9× 609 1.7× 897 3.7× 66 1.7k
Cynthia Soderblom United States 10 536 1.0× 81 0.2× 305 0.7× 353 1.0× 124 0.5× 10 1.1k
Daniel J. Webber United Kingdom 12 235 0.4× 92 0.2× 369 0.9× 241 0.7× 404 1.7× 17 1.0k

Countries citing papers authored by Dai Matsuse

Since Specialization
Citations

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

Fields of papers citing papers by Dai Matsuse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dai Matsuse

This figure shows the co-authorship network connecting the top 25 collaborators of Dai Matsuse. A scholar is included among the top collaborators of Dai Matsuse 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 Dai Matsuse. Dai Matsuse 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
1.
Matsuse, Dai, Hiroo Yamaguchi, Masaya Harada, et al.. (2025). A unique microglia subset associated with aggressive α-synucleinopathy uncovered in a rapidly progressive multiple system atrophy cerebellar type model. Neurobiology of Disease. 218. 107206–107206.
3.
Ueda, Emi, Mitsuru Watanabe, Dai Matsuse, et al.. (2024). Distinct retinal reflectance spectra from retinal hyperspectral imaging in Parkinson's disease. Journal of the Neurological Sciences. 461. 123061–123061. 2 indexed citations
5.
Masaki, Katsuhisa, Dai Matsuse, Hiroo Yamaguchi, et al.. (2022). Early and extensive alterations of glial connexins, distal oligodendrogliopathy type demyelination, and nodal/paranodal pathology are characteristic of multiple system atrophy. Brain Pathology. 33(3). e13131–e13131. 7 indexed citations
6.
Matsuse, Dai, Ryo Yamasaki, Hiroo Yamaguchi, et al.. (2020). Early decrease in intermediate monocytes in peripheral blood is characteristic of multiple system atrophy-cerebellar type. Journal of Neuroimmunology. 349. 577395–577395. 3 indexed citations
7.
Shinoda, Koji, Mitsuru Watanabe, Dai Matsuse, et al.. (2019). MOG antibody disease manifesting as progressive cognitive deterioration and behavioral changes with primary central nervous system vasculitis. Multiple Sclerosis and Related Disorders. 30. 48–50. 15 indexed citations
8.
Hayashi, Fumie, et al.. (2018). Hopkins syndrome following the first episode of bronchial asthma associated with enterovirus D68: a case report. BMC Neurology. 18(1). 71–71. 3 indexed citations
9.
Ogata, Hidenori, Dai Matsuse, Ryo Yamasaki, et al.. (2015). A nationwide survey of combined central and peripheral demyelination in Japan. Journal of Neurology Neurosurgery & Psychiatry. jnnp–2014. 66 indexed citations
10.
Yamasaki, Ryo, Yuji Kawano, Shinya Sato, et al.. (2015). Peripheral Blood T Cell Dynamics Predict Relapse in Multiple Sclerosis Patients on Fingolimod. PLoS ONE. 10(4). e0124923–e0124923. 59 indexed citations
11.
Niino, Masaaki, Shinya Sato, Toshiyuki Fukazawa, et al.. (2015). Decreased serum vitamin D levels in Japanese patients with multiple sclerosis. Journal of Neuroimmunology. 279. 40–45. 30 indexed citations
12.
Ogata, Hidenori, Dai Matsuse, Ryo Yamasaki, et al.. (2015). Prevalence and Characteristic Features of Anti-Human Neurofascin 155 Antibody-Associated Chronic Inflammatory Demyelinating Polyradiculoneuropathy (P7.081). Neurology. 84(14_supplement). 1 indexed citations
13.
Kawamura, Nobutoshi, Ryo Yamasaki, Tomomi Yonekawa, et al.. (2013). Anti-neurofascin antibody in patients with combined central and peripheral demyelination. Neurology. 81(8). 714–722. 132 indexed citations
14.
Furuya, Takeo, Masayuki Hashimoto, Masao Koda, et al.. (2013). Treatment with basic fibroblast growth factor-incorporated gelatin hydrogel does not exacerbate mechanical allodynia after spinal cord contusion injury in rats. Journal of Spinal Cord Medicine. 36(2). 134–139. 7 indexed citations
15.
Matsushita, Takuya, Takahisa Tateishi, Noriko Isobe, et al.. (2013). Characteristic Cerebrospinal Fluid Cytokine/Chemokine Profiles in Neuromyelitis Optica, Relapsing Remitting or Primary Progressive Multiple Sclerosis. PLoS ONE. 8(4). e61835–e61835. 183 indexed citations
16.
Hayashi, Takuya, Shohei Wakao, Masaaki Kitada, et al.. (2012). Autologous mesenchymal stem cell–derived dopaminergic neurons function in parkinsonian macaques. Journal of Clinical Investigation. 123(1). 272–284. 53 indexed citations
18.
Matsuse, Dai, Masaaki Kitada, Misaki Kohama, et al.. (2010). Human Umbilical Cord-Derived Mesenchymal Stromal Cells Differentiate Into Functional Schwann Cells That Sustain Peripheral Nerve Regeneration. Journal of Neuropathology & Experimental Neurology. 69(9). 973–985. 101 indexed citations
19.
Matsuse, Dai, Koji Ikezoe, Hiroshi Shigeto, et al.. (2008). A case of eosinophilic myositis in continuum from localized nodular myositis. Rinsho Shinkeigaku. 48(1). 36–42. 2 indexed citations
20.
Iwaki, Akiko, Yu Kawano, Shiroh Miura, et al.. (2007). Heterozygous deletion of ITPR1, but not SUMF1, in spinocerebellar ataxia type 16. Journal of Medical Genetics. 45(1). 32–35. 102 indexed citations

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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