Yu‐ichi Noto

2.1k citations
73 papers · 1.6k · h-index 22

Impact in

  • Neurology top 1%
    • Amyotrophic Lateral Sclerosis Research
    • Peripheral Neuropathies and Disorders
    • Parkinson's Disease Mechanisms and Treatments
    • Myasthenia Gravis and Thymoma
  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 22
    • Peripheral Neuropathies and Disorders 18
    • Myasthenia Gravis and Thymoma 5
    • Hereditary Neurological Disorders 17
    • Genetic Neurodegenerative Diseases 10

Yu‐ichi Noto

66 papers receiving 1.5k citations

Peers

Yu‐ichi Noto
Comparison fields: 5 of 76
  • Neurology 985
  • Genetics 278
  • Cellular and Molecular Neuroscience 359
  • Neurology 88
  • Radiology, Nuclear Medicine and Imaging 158
Replace Glenn Lopate with:
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Anna Kostera‐Pruszczyk Poland
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Citations per year

Countries citing papers authored by Yu‐ichi Noto

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐ichi Noto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu‐ichi Noto. 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 Yu‐ichi Noto. The network helps show where Yu‐ichi Noto may publish in the future.

Co-authors

The 25 scholars most cited alongside Yu‐ichi Noto, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yu‐ichi Noto Line = papers co-authored together Yu‐ichi Noto links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011139
2 201598
3 201680
4 201272
5 201666
6 201365
7 201464
8 201357
9 200956
10 201755
11 200954
12 201652
13 201948
14 201143
15 201736
16 201733
17 201328
18 201727
19 201826
20 201026

About Yu‐ichi Noto

Yu‐ichi Noto is a scholar working on Neurology, Cellular and Molecular Neuroscience, Genetics, Molecular Biology and Neurology, having authored 73 papers that have together received 1.6k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (22 papers), Peripheral Neuropathies and Disorders (18 papers), Hereditary Neurological Disorders (17 papers), Genetic Neurodegenerative Diseases (10 papers), Neurogenetic and Muscular Disorders Research (9 papers), Myasthenia Gravis and Thymoma (5 papers), Peripheral Nerve Disorders (5 papers) and Inflammatory Myopathies and Dermatomyositis (4 papers). The work is most often cited by research in Neurology (985 citations), Genetics (278 citations), Cellular and Molecular Neuroscience (359 citations), Neurology (88 citations) and Radiology, Nuclear Medicine and Imaging (158 citations). Yu‐ichi Noto has collaborated with scholars based in Japan, Australia and United Kingdom. Frequent co-authors include Kazumoto Shibuya, Satoshi Kuwabara, Neil G. Simon, Sonoko Misawa, Yukari Sekiguchi, Saiko Nasu, Sagiri Isose, Toshiki Mizuno, Masanori Nakagawa and Yukiko Tsuji. Their work appears in journals such as Clinical Neurophysiology, Muscle & Nerve, Journal of Neurology Neurosurgery & Psychiatry, Journal of the Neurological Sciences and Journal of the Peripheral Nervous System.

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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