M Uono

489 citations
45 papers · 364 · h-index 10

Impact in

Papers in

    • Myasthenia Gravis and Thymoma 3
    • Parkinson's Disease and Spinal Disorders 3

M Uono

42 papers receiving 342 citations

Peers

M Uono
Comparison fields: 5 of 64
  • Neurology 81
  • Cellular and Molecular Neuroscience 89
  • Clinical Biochemistry 24
  • Neurology 28
  • Physiology 79
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Citations per year

Countries citing papers authored by M Uono

Since Specialization
Citations

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

Fields of papers citing papers by M Uono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M Uono, 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 M Uono Line = papers co-authored together M Uono links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197785
2 198366
3
Distribution of cholinesterase activity in the human cerebral cortex.
196123
4
Clinical statistics of myasthenia gravis in Japan.
198017
5
[VERTIGO AND DIZZINESS].
196317
6 198816
7 198515
8 197914
9
Quantitative electromyography comparison between manual values and computer ones on normal subjects.
197511
10 198310
11
Quantitative electromyography. Its application to progressive muscular dystrophy.
19759
12
[Histochemistry of neuromuscular diseases].
19658
13 20098
14 19756
15 19816
16 19636
17 19834
18
Quantitative electromyography. Difference between myopathic findings and neuropathic ones.
19764
19
[A heredo-familial spinocerebellar degeneration with slow eye movements--a study of five cases (author's transl)].
19793
20 19703

About M Uono

M Uono is a scholar working on Neurology, Physiology, Molecular Biology, Cellular and Molecular Neuroscience and Pharmacology, having authored 45 papers that have together received 364 indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (4 papers), Metabolism and Genetic Disorders (4 papers), Genetic Neurodegenerative Diseases (4 papers), Muscle activation and electromyography studies (4 papers), Myasthenia Gravis and Thymoma (3 papers), Muscle Physiology and Disorders (3 papers), Cholinesterase and Neurodegenerative Diseases (3 papers) and Parkinson's Disease and Spinal Disorders (3 papers). The work is most often cited by research in Neurology (81 citations), Cellular and Molecular Neuroscience (89 citations), Clinical Biochemistry (24 citations), Neurology (28 citations) and Physiology (79 citations). M Uono has collaborated with scholars based in Japan, United States and Greece. Frequent co-authors include Yoshiyuki Suzuki, Norimasa Nakamura, K Hirose, T Tsubaki, I Sobue, A Igata, Toshiko Nagashima, Takao Nakanishi, Hirokuni Beppu and Mitsuo Yoshida. Their work appears in journals such as Journal of Neural Transmission, Journal of the Neurological Sciences, Human Genetics, Acta Neuropathologica and Journal of Neurology.

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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