Seiji Segawa

492 total citations
17 papers, 320 citations indexed

About

Seiji Segawa is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Seiji Segawa has authored 17 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 4 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Seiji Segawa's work include T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Seiji Segawa is often cited by papers focused on T-cell and B-cell Immunology (8 papers), Immune Cell Function and Interaction (5 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers). Seiji Segawa collaborates with scholars based in Japan and United States. Seiji Segawa's co-authors include Isao Matsumoto, Takayuki Sumida, Yuya Kondo, Hiroto Tsuboi, Masahiro Yokosawa, Shunta Kaneko, Daisuke Goto, Masanobu Horikoshi, Taichi Hayashi and Satoshi Ito and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Scientific Reports.

In The Last Decade

Seiji Segawa

17 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seiji Segawa Japan 12 179 78 76 65 42 17 320
Sei Muraoka Japan 9 87 0.5× 82 1.1× 73 1.0× 57 0.9× 34 0.8× 25 291
Norzawani B Buang United Kingdom 5 223 1.2× 77 1.0× 116 1.5× 34 0.5× 17 0.4× 5 360
Elise Belilos United States 8 253 1.4× 76 1.0× 65 0.9× 77 1.2× 29 0.7× 15 393
Nora Mauermann Switzerland 6 350 2.0× 55 0.7× 61 0.8× 87 1.3× 18 0.4× 6 502
Emma MacDermott Ireland 7 164 0.9× 166 2.1× 64 0.8× 61 0.9× 19 0.5× 18 334
Júlia Spengler United Kingdom 5 189 1.1× 105 1.3× 93 1.2× 28 0.4× 44 1.0× 8 339
Norio Hanata Japan 9 130 0.7× 93 1.2× 46 0.6× 42 0.6× 53 1.3× 18 255
Ling‐Ying Lu Taiwan 10 122 0.7× 158 2.0× 49 0.6× 35 0.5× 28 0.7× 31 311
Renata Žunec Croatia 11 201 1.1× 53 0.7× 108 1.4× 30 0.5× 26 0.6× 68 423
Franziska Szelinski Germany 11 242 1.4× 169 2.2× 69 0.9× 58 0.9× 16 0.4× 22 384

Countries citing papers authored by Seiji Segawa

Since Specialization
Citations

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

Fields of papers citing papers by Seiji Segawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seiji Segawa

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

All Works

17 of 17 papers shown
1.
Tsuboi, Hiroto, Seiji Segawa, Mizuki Yagishita, et al.. (2022). Activation mechanisms of monocytes/macrophages in adult-onset Still disease. Frontiers in Immunology. 13. 953730–953730. 20 indexed citations
2.
Kondo, Yuya, Masaru Shimizu, Masahiro Yokosawa, et al.. (2021). RORγt+Foxp3+ regulatory T cells in the regulation of autoimmune arthritis. Clinical & Experimental Immunology. 207(2). 176–187. 12 indexed citations
3.
Tsuboi, Hiroto, Mana Iizuka-Koga, Hiromitsu Asashima, et al.. (2019). Upregulation and pathogenic roles of CCL18-CCR8 axis in IgG4-related disease. Modern Rheumatology. 30(4). 729–737. 8 indexed citations
4.
Iizuka, Akira, Seiji Segawa, Yuya Kondo, et al.. (2018). Allergy inhibitory receptor‐1 inhibits autoantibody production via upregulation of apoptotic debris clearance by macrophages. International Journal of Rheumatic Diseases. 21(12). 2071–2078. 1 indexed citations
5.
Segawa, Seiji, Yuya Kondo, Yuji Nakai, et al.. (2018). Placenta Specific 8 Suppresses IL-18 Production through Regulation of Autophagy and Is Associated with Adult Still Disease. The Journal of Immunology. 201(12). 3534–3545. 18 indexed citations
6.
Kaneko, Shunta, Yuya Kondo, Masahiro Yokosawa, et al.. (2017). The RORγt-CCR6-CCL20 axis augments Th17 cells invasion into the synovia of rheumatoid arthritis patients. Modern Rheumatology. 28(5). 814–825. 26 indexed citations
7.
Kondo, Yuya, Masahiro Yokosawa, Shunta Kaneko, et al.. (2017). Review: Transcriptional Regulation of CD4+ T Cell Differentiation in Experimentally Induced Arthritis and Rheumatoid Arthritis. Arthritis & Rheumatology. 70(5). 653–661. 83 indexed citations
8.
Inoue, Asuka, Isao Matsumoto, Yuki Tanaka, et al.. (2016). TIARP attenuates autoantibody-mediated arthritis via the suppression of neutrophil migration by reducing CXCL2/CXCR2 and IL-6 expression. Scientific Reports. 6(1). 38684–38684. 15 indexed citations
9.
Yokosawa, Masahiro, Yuya Kondo, Masahiro Tahara, et al.. (2016). T-bet over-expression regulates aryl hydrocarbon receptor-mediated T helper type 17 differentiation through an interferon (IFN)γ-independent pathway. Clinical & Experimental Immunology. 188(1). 22–35. 7 indexed citations
10.
Tahara, Masahiro, Hiroto Tsuboi, Seiji Segawa, et al.. (2016). RORγt antagonist suppresses M3 muscarinic acetylcholine receptor-induced Sjögren's syndrome-like sialadenitis. Clinical & Experimental Immunology. 187(2). 213–224. 15 indexed citations
11.
Segawa, Seiji, Daisuke Goto, Akira Iizuka, et al.. (2016). The regulatory role of interferon-γ producing gamma delta T cells via the suppression of T helper 17 cell activity in bleomycin-induced pulmonary fibrosis. Clinical & Experimental Immunology. 185(3). 348–360. 22 indexed citations
12.
Kondo, Yuya, Masahiro Tahara, Mana Iizuka, et al.. (2015). Involvement of RORγt-overexpressing T cells in the development of autoimmune arthritis in mice. Arthritis Research & Therapy. 17(1). 105–105. 15 indexed citations
13.
Segawa, Seiji, Daisuke Goto, Masanobu Horikoshi, et al.. (2014). Involvement of CD161+ Vδ1+ γδ T cells in systemic sclerosis: association with interstitial pneumonia. Lara D. Veeken. 53(12). 2259–2269. 8 indexed citations
14.
Horikoshi, Masanobu, Daisuke Goto, Seiji Segawa, et al.. (2012). Activation of Invariant NKT Cells with Glycolipid Ligand α-Galactosylceramide Ameliorates Glucose-6-Phosphate Isomerase Peptide-Induced Arthritis. PLoS ONE. 7(12). e51215–e51215. 21 indexed citations
15.
Segawa, Seiji, Daisuke Goto, Masanobu Horikoshi, et al.. (2011). Involvement of NK 1.1–Positive γδT Cells in Interleukin-18 Plus Interleukin-2–Induced Interstitial Lung Disease. American Journal of Respiratory Cell and Molecular Biology. 45(3). 659–666. 11 indexed citations
16.
Goto, Daisuke, Seiji Segawa, Masanobu Horikoshi, et al.. (2011). Activation of natural killer T cells by α-carba-GalCer (RCAI-56), a novel synthetic glycolipid ligand, suppresses murine collagen-induced arthritis. Clinical & Experimental Immunology. 164(2). 236–247. 19 indexed citations
17.
Segawa, Seiji, Daisuke Goto, Makoto Sugihara, et al.. (2010). Inhibition of transforming growth factor-β signalling attenuates interleukin (IL)-18 plus IL-2-induced interstitial lung disease in mice. Clinical & Experimental Immunology. 160(3). 394–402. 19 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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