Seigo Usuki

937 citations
37 papers · 750 · h-index 14

Impact in

Papers in

    • Hereditary Neurological Disorders 9
    • Nerve injury and regeneration 8
    • Axon Guidance and Neuronal Signaling 5
    • Peripheral Neuropathies and Disorders 11
    • Parkinson's Disease Mechanisms and Treatments 3

Seigo Usuki

37 papers receiving 735 citations

Peers

Seigo Usuki
Comparison fields: 5 of 82
  • Neurology 173
  • Neurology 68
  • Cellular and Molecular Neuroscience 130
  • Cancer Research 105
  • Molecular Biology 430
Replace Émilie Hollville with:
Émilie Hollville United States
Oleksandr Ekshyyan United States
Junko Ishii Japan
C Marobbio Italy
Susan M. Saporito-Irwin United States
Aruna Vashishta United States
Izumi Kato Japan
Mohammed Iqbal Hossain Australia
María Teresa González‐Garza Mexico
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Citations per field
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Citations per year

Countries citing papers authored by Seigo Usuki

Since Specialization
Citations

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

Fields of papers citing papers by Seigo Usuki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014215
2 2006104
3 200549
4 200736
5 201935
6 200832
7 201122
8 200520
9 201018
10 200417
11 200517
12 201516
13 200815
14 201515
15 201112
16 200612
17 200711
18 200911
19 202211
20 201010

About Seigo Usuki

Seigo Usuki is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Physiology and Plant Science, having authored 37 papers that have together received 750 indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (11 papers), Hereditary Neurological Disorders (9 papers), Nerve injury and regeneration (8 papers), Sphingolipid Metabolism and Signaling (6 papers), Lipid Membrane Structure and Behavior (5 papers), Axon Guidance and Neuronal Signaling (5 papers), Parkinson's Disease Mechanisms and Treatments (3 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Neurology (173 citations), Neurology (68 citations), Cellular and Molecular Neuroscience (130 citations), Cancer Research (105 citations) and Molecular Biology (430 citations). Seigo Usuki has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Robert K. Yu, Toshio Ariga, Yasuyuki Igarashi, Kohei Yuyama, Hisatoshi Hanamatsu, Jun‐ichi Furukawa, Hui Sun, Nobuyuki Kimura, Shota Sakaï and Naoki Fujitani. Their work appears in journals such as Scientific Reports, Neurochemical Research, Experimental Neurology, International Journal of Molecular Sciences and Journal of Lipid Research.

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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