Seigo Usuki

937 total citations
37 papers, 750 citations indexed

About

Seigo Usuki is a scholar working on Cellular and Molecular Neuroscience, Neurology and Molecular Biology. According to data from OpenAlex, Seigo Usuki has authored 37 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cellular and Molecular Neuroscience, 16 papers in Neurology and 13 papers in Molecular Biology. Recurrent topics in Seigo Usuki's work include Peripheral Neuropathies and Disorders (11 papers), Hereditary Neurological Disorders (9 papers) and Nerve injury and regeneration (8 papers). Seigo Usuki is often cited by papers focused on Peripheral Neuropathies and Disorders (11 papers), Hereditary Neurological Disorders (9 papers) and Nerve injury and regeneration (8 papers). Seigo Usuki collaborates with scholars based in Japan, United States and United Kingdom. Seigo Usuki's co-authors include Robert K. Yu, Toshio Ariga, Yasuyuki Igarashi, Kohei Yuyama, Hisatoshi Hanamatsu, Jun‐ichi Furukawa, Hui Sun, Yasuro Shinohara, Naoki Fujitani and Nobuyuki Kimura and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Seigo Usuki

37 papers receiving 735 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seigo Usuki Japan 14 430 173 130 111 105 37 750
Émilie Hollville United States 14 607 1.4× 80 0.5× 66 0.5× 95 0.9× 96 0.9× 20 1.0k
Oleksandr Ekshyyan United States 15 444 1.0× 48 0.3× 82 0.6× 114 1.0× 80 0.8× 25 883
Izumi Kato Japan 8 261 0.6× 192 1.1× 119 0.9× 84 0.8× 24 0.2× 14 604
María Teresa González‐Garza Mexico 14 284 0.7× 173 1.0× 44 0.3× 62 0.6× 57 0.5× 42 758
C Marobbio Italy 19 1.0k 2.4× 44 0.3× 73 0.6× 71 0.6× 52 0.5× 31 1.3k
Qiaoyun Shi China 13 215 0.5× 48 0.3× 49 0.4× 48 0.4× 53 0.5× 22 488
Mohammed Iqbal Hossain Australia 16 357 0.8× 33 0.2× 108 0.8× 96 0.9× 53 0.5× 30 720
Susan M. Saporito-Irwin United States 12 453 1.1× 233 1.3× 88 0.7× 327 2.9× 33 0.3× 13 1.1k
Aruna Vashishta United States 20 395 0.9× 25 0.1× 65 0.5× 76 0.7× 119 1.1× 38 831
Jens Göpfert Germany 13 370 0.9× 60 0.3× 27 0.2× 70 0.6× 189 1.8× 26 666

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-authorship network of co-authors of Seigo Usuki

This figure shows the co-authorship network connecting the top 25 collaborators of Seigo Usuki. A scholar is included among the top collaborators of Seigo Usuki 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 Seigo Usuki. Seigo Usuki 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.
Murai, Yuta, Ai Fujimoto, Akira Kitamura, et al.. (2025). Malabaricone C isolated from edible plants as a potential inhibitor of SARS-CoV-2 infection. Scientific Reports. 15(1). 8518–8518. 1 indexed citations
2.
Yuyama, Kohei, Kaori Takahashi, Seigo Usuki, et al.. (2019). Plant sphingolipids promote extracellular vesicle release and alleviate amyloid-β pathologies in a mouse model of Alzheimer’s disease. Scientific Reports. 9(1). 16827–16827. 35 indexed citations
3.
Usuki, Seigo, Noriko Tamura, Tomohiro Tamura, et al.. (2019). Konjac ceramide (kCer) regulates keratinocyte migration by Sema3A-like repulsion mechanism. Biochemistry and Biophysics Reports. 17. 132–138. 4 indexed citations
4.
Gowda, Siddabasave Gowda B., et al.. (2015). Highly efficient preparation of sphingoid bases from glucosylceramides by chemoenzymatic method. Journal of Lipid Research. 57(2). 325–331. 6 indexed citations
5.
Yu, Robert K., Seigo Usuki, Yutaka Itokazu, & Han‐Chung Wu. (2015). Novel GM1 ganglioside-like peptide mimics prevent the association of cholera toxin to human intestinal epithelial cells in vitro. Glycobiology. 26(1). cwv080–cwv080. 16 indexed citations
6.
Usuki, Seigo, Noriko Tamura, Shota Sakai, et al.. (2015). Chemoenzymatically prepared konjac ceramide inhibits NGF-induced neurite outgrowth by a semaphorin 3A-like action. SHILAP Revista de lepidopterología. 5. 160–167. 15 indexed citations
7.
Usuki, Seigo, et al.. (2014). A new approach to ELISA-based anti-glycolipid antibody evaluation of highly adhesive serum samples. Journal of Immunological Methods. 408. 52–63. 5 indexed citations
8.
Yuyama, Kohei, Hui Sun, Seigo Usuki, et al.. (2014). A potential function for neuronal exosomes: Sequestering intracerebral amyloid‐β peptide. FEBS Letters. 589(1). 84–88. 215 indexed citations
9.
10.
Yu, Robert K., Toshio Ariga, Seigo Usuki, & K. Kaida. (2011). Pathological Roles of Ganglioside Mimicry in Guillain–Barré Syndrome and Related Neuropathies. Advances in experimental medicine and biology. 705. 349–365. 12 indexed citations
11.
Usuki, Seigo, et al.. (2010). Development of a novel therapy for Lipo‐oligosaccharide‐induced experimental neuritis: use of peptide glycomimics. Journal of Neurochemistry. 113(2). 351–362. 10 indexed citations
12.
Ariga, Toshio, Makoto Nakane, Masaru Kubota, et al.. (2008). Glycosphingolipid Antigens in Neural Tumor Cell Lines and Anti-Glycosphingolipid Antibodies in Sera of Patients with Neural Tumors. Neurosignals. 16(2-3). 226–234. 15 indexed citations
13.
Usuki, Seigo, Toshio Ariga, Somsankar Dasgupta, et al.. (2008). Structural analysis of novel bioactive acylated steryl glucosides in pre-germinated brown rice bran. Journal of Lipid Research. 49(10). 2188–2196. 32 indexed citations
14.
Usuki, Seigo, Yoshihiko Nakatani, Kyoji Taguchi, et al.. (2008). Topology and patch‐clamp analysis of the sodium channel in relationship to the anti‐lipid a antibody in campylobacteriosis. Journal of Neuroscience Research. 86(15). 3359–3374. 5 indexed citations
15.
Usuki, Seigo, Yukihiko Ito, Keiko Morikawa, et al.. (2007). Effect of pre-germinated brown rice intake on diabetic neuropathy in streptozotocin-induced diabetic rats. Nutrition & Metabolism. 4(1). 25–25. 36 indexed citations
16.
Usuki, Seigo, et al.. (2007). Chemical validation of molecular mimicry: interaction of cholera toxin with Campylobacter lipooligosaccharides. Glycoconjugate Journal. 24(2-3). 167–180. 11 indexed citations
17.
Usuki, Seigo, Kyoji Taguchi, Shaun Cawthraw, et al.. (2006). Human and chicken antibodies to gangliosides following infection by Campylobacter jejuni. Experimental Neurology. 200(1). 50–55. 12 indexed citations
18.
Usuki, Seigo, Stuart A. Thompson, Michael H. Rivner, et al.. (2005). Molecular mimicry: Sensitization of Lewis rats with Campylobacter jejuni lipopolysaccharides induces formation of antibody toward GD3 ganglioside. Journal of Neuroscience Research. 83(2). 274–284. 20 indexed citations
19.
Usuki, Seigo, Juan A. Sánchez, Toshio Ariga, et al.. (2005). AIDP and CIDP having specific antibodies to the carbohydrate epitope (–NeuAcα2–8NeuAcα2–3Galβ1–4Glc–) of gangliosides. Journal of the Neurological Sciences. 232(1-2). 37–44. 17 indexed citations
20.

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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