Yasushi Oya

2.5k total citations
91 papers, 1.4k citations indexed

About

Yasushi Oya is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Yasushi Oya has authored 91 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 25 papers in Cellular and Molecular Neuroscience and 21 papers in Neurology. Recurrent topics in Yasushi Oya's work include Muscle Physiology and Disorders (25 papers), Genetic Neurodegenerative Diseases (21 papers) and Inflammatory Myopathies and Dermatomyositis (19 papers). Yasushi Oya is often cited by papers focused on Muscle Physiology and Disorders (25 papers), Genetic Neurodegenerative Diseases (21 papers) and Inflammatory Myopathies and Dermatomyositis (19 papers). Yasushi Oya collaborates with scholars based in Japan, United States and France. Yasushi Oya's co-authors include Ichizo Nishino, Ikuya Nonaka, S. Noguchi, Yukiko Hayashi, Madoka Mori‐Yoshimura, Hirofumi Komaki, Miho Murata, Mitsuru Kawai, Kazuo Hashido and Shin’ichi Takeda and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Neurology.

In The Last Decade

Yasushi Oya

85 papers receiving 1.4k citations

Peers

Yasushi Oya

EPIDE

CCM

PHYSI

CMN

Madoka Mori‐Yoshimura Japan

Sree Rayavarapu United States

Dominique S. Tews Germany

Jens Reimann Germany

Denise Cassandrini Italy

Ikuya Nonaka Japan

Tania Tiepolo Italy

I. Pénisson-Besnier France

Olavo M. Vasconcelos United States

Sharon Keers United Kingdom

Madoka Mori‐Yoshimura Japan

Yasushi Oya

522 ×0.6

278 ×0.6

EPIDE

213 ×0.7

CCM

105 ×0.4

PHYSI

156 ×0.6

CMN

Citations per year, relative to Yasushi Oya Yasushi Oya (= 1×) peers Madoka Mori‐Yoshimura

Countries citing papers authored by Yasushi Oya

Since Specialization

Citations

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

Fields of papers citing papers by Yasushi Oya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasushi Oya

This figure shows the co-authorship network connecting the top 25 collaborators of Yasushi Oya. A scholar is included among the top collaborators of Yasushi Oya 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 Yasushi Oya. Yasushi Oya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sano, Terunori, Yasushi Oya, Chihiro Matsumoto, et al.. (2025). Two Brothers With ADSS1 Myopathy: A Report of Clinical, Radiological, and Autopsy Findings. Neuropathology. 45(4). e70008–e70008. 2 indexed citations

Ishiura, Hiroyuki, Atsushi Sudo, Kayoko Esaki, et al.. (2024). Genetic and functional analyses of SPTLC1 in juvenile amyotrophic lateral sclerosis. Journal of Neurology. 272(1). 36–36.

Mori‐Yoshimura, Madoka, et al.. (2023). Factors influencing the decision to introduce alternative nutrition in patients with Duchenne muscular dystrophy. Muscle & Nerve. 68(5). 737–742.

Mori‐Yoshimura, Madoka, Yasushi Oya, Michio Inoue, et al.. (2022). Myoglobinopathy affecting facial and oropharyngeal muscles. Neuromuscular Disorders. 32(6). 516–520.

Mori‐Yoshimura, Madoka, Hiroyuki Yajima, Yasushi Oya, et al.. (2022). Long-term evaluation parameters in GNE myopathy: a 5-year observational follow-up natural history study. BMJ Neurology Open. 4(2). e000362–e000362. 5 indexed citations

Nagatomo, Yuji, et al.. (2022). Sick sinus syndrome concomitant with myopathy associated with anti-mitochondrial antibodies: a case report. European Heart Journal - Case Reports. 7(6). ytac158–ytac158. 3 indexed citations

Mori‐Yoshimura, Madoka, et al.. (2022). Clinical characteristics of dysphagic inclusion body myositis. Neuromuscular Disorders. 33(2). 133–138. 3 indexed citations

Ogasawara, Masashi, Nobuyuki Eura, Utako Nagaoka, et al.. (2021). Intranuclear inclusions in skin biopsies are not limited to neuronal intranuclear inclusion disease but can also be seen in oculopharyngodistal myopathy. Neuropathology and Applied Neurobiology. 48(3). e12787–e12787. 14 indexed citations

Mori‐Yoshimura, Madoka, Hiroyuki Yajima, Katsuhiro Mizuno, et al.. (2021). Assessment of thrombocytopenia, sleep apnea, and cardiac involvement in GNE myopathy patients. Muscle & Nerve. 65(3). 284–290. 11 indexed citations

10.

Mori‐Yoshimura, Madoka, Yasushi Oya, Narihiro Minami, et al.. (2020). Severe cardiac involvement with preserved truncated dystrophin expression in Becker muscular dystrophy by +1G>A DMD splice-site mutation: a case report. Journal of Human Genetics. 65(10). 903–909. 4 indexed citations

11.

Saito, Yoshihiko, Atsuko Nishikawa, Aritoshi Iida, et al.. (2020). ADSSL1 myopathy is the most common nemaline myopathy in Japan with variable clinical features. Neurology. 95(11). e1500–e1511. 20 indexed citations

12.

Ogasawara, Masashi, Aritoshi Iida, Yasushi Oya, et al.. (2020). CGG expansion in NOTCH2NLC is associated with oculopharyngodistal myopathy with neurological manifestations. Acta Neuropathologica Communications. 8(1). 204–204. 71 indexed citations

13.

Ishihara, Satoshi, Yuji Okamoto, Hajime Tanabe, et al.. (2020). Clinical features of inherited neuropathy with BSCL2 mutations in Japan. Journal of the Peripheral Nervous System. 25(2). 125–131. 10 indexed citations

14.

Sato, Noriko, Yoko Shigemoto, Yukio Kimura, et al.. (2020). New MRI Findings in Fukuyama Congenital Muscular Dystrophy: Brain Stem and Venous System Anomalies. American Journal of Neuroradiology. 41(6). 1094–1098. 2 indexed citations

15.

Matsuzaka, Yasunari, Jun Tanihata, Daisuke Yamada, et al.. (2020). The nSMase2/Smpd3 gene modulates the severity of muscular dystrophy and the emotional stress response in mdx mice. BMC Medicine. 18(1). 343–343. 13 indexed citations

16.

Matsumoto, Chihiro, Madoka Mori‐Yoshimura, S. Noguchi, et al.. (2019). Phenotype of a limb-girdle congenital myasthenic syndrome patient carrying a GFPT1 mutation. Brain and Development. 41(5). 470–473. 7 indexed citations

17.

Mori‐Yoshimura, Madoka, Toshiyuki Yamamoto, Yasushi Oya, et al.. (2019). Chronic sarcoid myopathy mimicking sporadic inclusion body myositis. Clinical Neurology and Neurosurgery. 182. 84–86. 6 indexed citations

18.

Nishikawa, Atsuko, Aritoshi Iida, Shinichiro Hayashi, et al.. (2019). Three novel MTM1 pathogenic variants identified in Japanese patients with X‐linked myotubular myopathy. Molecular Genetics & Genomic Medicine. 7(5). e621–e621. 3 indexed citations

19.

Komaki, Hirofumi, Hiroshi Sakuma, Eiji Nakagawa, et al.. (2010). Acute autonomic sensory and motor neuropathy associated with parvovirus B19 infection. Brain and Development. 33(2). 161–165. 15 indexed citations

20.

Oishi, Kenichi, Masafumi Ogawa, Yasushi Oya, & Mitsuru Kawai. (2004). Whole-Brain Voxel-Based Correlation Analysis between Regional Cerebral Blood Flow and Intelligence Quotient Score in Parkinson’s Disease. European Neurology. 52(3). 151–155. 7 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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