Yusuke Sugimori

551 total citations
9 papers, 101 citations indexed

About

Yusuke Sugimori is a scholar working on Immunology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Yusuke Sugimori has authored 9 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 4 papers in Epidemiology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Yusuke Sugimori's work include Inflammatory Myopathies and Dermatomyositis (4 papers), Systemic Sclerosis and Related Diseases (3 papers) and Vasculitis and related conditions (2 papers). Yusuke Sugimori is often cited by papers focused on Inflammatory Myopathies and Dermatomyositis (4 papers), Systemic Sclerosis and Related Diseases (3 papers) and Vasculitis and related conditions (2 papers). Yusuke Sugimori collaborates with scholars based in Japan. Yusuke Sugimori's co-authors include Yasuo Nagafuchi, Hirofumi Shoda, Keishi Fujio, Mineto Ota, Kazuhiko Yamamoto, Satomi Kobayashi, Yukiko Iwasaki, Tomohisa Okamura, Hiroaki Hatano and Mai Okubo and has published in prestigious journals such as Lara D. Veeken, Arthritis Research & Therapy and Journal of Autoimmunity.

In The Last Decade

Yusuke Sugimori

8 papers receiving 99 citations

Peers

Yusuke Sugimori

IMMUN

RHEUM

EPIDE

PFM

Márta Bocskai Hungary

Harumi Shirai Japan

Monica Schwartzman United States

Ryochi Yoshida Japan

Saskia R Veldkamp Netherlands

Giuseppina Tramontano Italy

Roald Omdal Sweden

S. Sierakowski Poland

Sabrina Porta Argentina

Rafaela Silva Guimarães Gonçalves Brazil

Márta Bocskai Hungary

Yusuke Sugimori

35 ×0.7

IMMUN

46 ×1.5

RHEUM

27 ×1.2

10 ×0.5

EPIDE

18 ×0.9

PFM

Citations per year, relative to Yusuke Sugimori Yusuke Sugimori (= 1×) peers Márta Bocskai

Countries citing papers authored by Yusuke Sugimori

Since Specialization

Citations

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

Fields of papers citing papers by Yusuke Sugimori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Sugimori

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

All Works

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9 of 9 papers shown

Takahashi, H., Ryochi Yoshida, M Nakano, et al.. (2024). Age-associated CD4 ⁺ T cells with B cell–promoting functions are regulated by ZEB2 in autoimmunity. Science Immunology. 9(93). eadk1643–eadk1643. 21 indexed citations

Sugimori, Yusuke, Yukiko Iwasaki, Yusuke Takeshima, et al.. (2023). Transcriptome Profiling of Immune Cell Types in Peripheral Blood Reveals Common and Specific Pathways Involved in the Pathogenesis of Myositis‐Specific Antibody‐Positive Inflammatory Myopathies. ACR Open Rheumatology. 5(2). 93–102. 10 indexed citations

Okubo, Mai, Shuji Sumitomo, Yumi Tsuchida, et al.. (2022). Transcriptome analysis of immune cells from Behçet’s syndrome patients: the importance of IL-17-producing cells and antigen-presenting cells in the pathogenesis of Behçet’s syndrome. Arthritis Research & Therapy. 24(1). 186–186. 12 indexed citations

Nagafuchi, Yasuo, Mineto Ota, Hiroaki Hatano, et al.. (2022). Control of naive and effector CD4 T cell receptor repertoires by rheumatoid-arthritis-risk HLA alleles. Journal of Autoimmunity. 133. 102907–102907. 10 indexed citations

Kobayashi, Satomi, Yasuo Nagafuchi, Mai Okubo, et al.. (2022). Dysregulation of the gene signature of effector regulatory T cells in the early phase of systemic sclerosis. Lara D. Veeken. 61(10). 4163–4174. 7 indexed citations

Tsuchida, Yumi, Hideyuki Takahashi, Yusuke Sugimori, et al.. (2021). ANCA-associated vasculitis with protein-losing enteropathy is characterized by hypocomplementemia. Rheumatology International. 42(10). 1863–1872.

Yanaoka, Haruyuki, Yasuo Nagafuchi, Norio Hanata, et al.. (2021). Identifying the most influential gene expression profile in distinguishing ANCA-associated vasculitis from healthy controls. Journal of Autoimmunity. 119. 102617–102617. 8 indexed citations

Hanata, Norio, Yasuo Nagafuchi, Yusuke Sugimori, et al.. (2021). Serum Amphiregulin and Heparin-Binding Epidermal Growth Factor as Biomarkers in Patients with Idiopathic Inflammatory Myopathy. Journal of Clinical Medicine. 10(16). 3730–3730. 6 indexed citations

Kobayashi, Satomi, Yasuo Nagafuchi, Mai Okubo, et al.. (2020). Integrated bulk and single-cell RNA-sequencing identified disease-relevant monocytes and a gene network module underlying systemic sclerosis. Journal of Autoimmunity. 116. 102547–102547. 27 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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