Yusuke Takeshima

1.6k total citations
18 papers, 245 citations indexed

About

Yusuke Takeshima is a scholar working on Immunology, Molecular Biology and Rheumatology. According to data from OpenAlex, Yusuke Takeshima has authored 18 papers receiving a total of 245 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Rheumatology. Recurrent topics in Yusuke Takeshima's work include Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (4 papers) and interferon and immune responses (3 papers). Yusuke Takeshima is often cited by papers focused on Systemic Lupus Erythematosus Research (5 papers), Immune Cell Function and Interaction (4 papers) and interferon and immune responses (3 papers). Yusuke Takeshima collaborates with scholars based in Japan, Germany and Canada. Yusuke Takeshima's co-authors include Keishi Fujio, Yukiko Iwasaki, Kazuhiko Yamamoto, Mineto Ota, Yasuo Nagafuchi, Tomohisa Okamura, M Nakano, Shuji Sumitomo, Satomi Kobayashi and Mai Okubo and has published in prestigious journals such as Nature, Annals of the Rheumatic Diseases and Lara D. Veeken.

In The Last Decade

Yusuke Takeshima

17 papers receiving 241 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yusuke Takeshima Japan 10 123 88 69 41 35 18 245
Jison Hong United States 7 127 1.0× 75 0.9× 83 1.2× 33 0.8× 30 0.9× 10 325
Lidia Ostanek Poland 9 139 1.1× 154 1.8× 47 0.7× 32 0.8× 28 0.8× 39 296
A. Audemard France 8 114 0.9× 34 0.4× 41 0.6× 22 0.5× 74 2.1× 15 231
Celi Sun United States 10 80 0.7× 96 1.1× 46 0.7× 39 1.0× 16 0.5× 16 206
Masanobu Ueno Japan 10 108 0.9× 150 1.7× 51 0.7× 20 0.5× 25 0.7× 26 258
Alicia Eimon Argentina 9 170 1.4× 186 2.1× 51 0.7× 15 0.4× 44 1.3× 14 317
Stefan Schliep Germany 10 92 0.7× 23 0.3× 82 1.2× 40 1.0× 103 2.9× 27 251
Bernard Lauwerys Belgium 6 129 1.0× 84 1.0× 35 0.5× 18 0.4× 36 1.0× 16 251
Shuhong Chi China 11 132 1.1× 113 1.3× 99 1.4× 34 0.8× 35 1.0× 25 334
Ana I. Quintero‐Del‐Rio United States 9 161 1.3× 217 2.5× 62 0.9× 33 0.8× 12 0.3× 10 330

Countries citing papers authored by Yusuke Takeshima

Since Specialization
Citations

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

Fields of papers citing papers by Yusuke Takeshima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yusuke Takeshima

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

All Works

18 of 18 papers shown
1.
Chen, Kelvin Y., Tatsuya Kibayashi, Norihisa Mikami, et al.. (2025). Genome-wide CRISPR screen in human T cells reveals regulators of FOXP3. Nature. 642(8066). 191–200. 5 indexed citations
2.
Yasumizu, Yoshiaki, Daiki Takeuchi, Yusuke Takeshima, et al.. (2024). Single-cell transcriptome landscape of circulating CD4+ T cell populations in autoimmune diseases. Cell Genomics. 4(2). 100473–100473. 22 indexed citations
3.
4.
Takeshima, Yusuke, Yukiko Iwasaki, M Nakano, et al.. (2022). Immune cell multiomics analysis reveals contribution of oxidative phosphorylation to B-cell functions and organ damage of lupus. Annals of the Rheumatic Diseases. 81(6). 845–853. 33 indexed citations
5.
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
6.
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
7.
Iwasaki, Yukiko, Yusuke Takeshima, M Nakano, et al.. (2022). Combined plasma metabolomic and transcriptomic analysis identify histidine as a biomarker and potential contributor in SLE pathogenesis. Lara D. Veeken. 62(2). 905–913. 9 indexed citations
8.
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
9.
Fujio, Keishi, Yusuke Takeshima, M Nakano, & Yukiko Iwasaki. (2020). Review: transcriptome and trans-omics analysis of systemic lupus erythematosus. Inflammation and Regeneration. 40(1). 11–11. 4 indexed citations
10.
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
11.
Iwasaki, Yukiko, Yusuke Takeshima, & Keishi Fujio. (2020). Basic mechanism of immune system activation by mitochondria. Immunological Medicine. 43(4). 142–147. 36 indexed citations
12.
Iwasaki, Yasuhiko, Yusuke Takeshima, M Nakano, et al.. (2020). THU0225 INTEGRATIVE PLASMA METABOLOME AND TRANSCRIPTOME ANALYSIS REVEALED THE IMPORTANCE OF HISTIDINE HOMEOSTASIS IN SLE PATHOGENESIS WITH POTENTIAL FOR IMPROVED SLE PATIENTS STRATIFICATION. Annals of the Rheumatic Diseases. 79. 339–340. 1 indexed citations
13.
Takeshima, Yusuke, Yukiko Iwasaki, Keishi Fujio, & Kazuhiko Yamamoto. (2019). Metabolism as a key regulator in the pathogenesis of systemic lupus erythematosus. Seminars in Arthritis and Rheumatism. 48(6). 1142–1145. 42 indexed citations
14.
15.
Takeshima, Yusuke, Yukiko Iwasaki, Tomohisa Okamura, Keishi Fujio, & Kazuhiko Yamamoto. (2017). The metabolic regulation in immune cells and pathogenesis of systemic lupus erythematosus ∼toward new therapeutic applications∼. Japanese Journal of Clinical Immunology. 40(1). 12–20. 2 indexed citations
16.
Tsukui, Daisuke, Hiroko Kanda, Aya Shinozaki‐Ushiku, et al.. (2017). Polymorphic lymphoproliferative disorders in patients with rheumatoid arthritis are associated with a better clinical outcome. Modern Rheumatology. 28(4). 621–625. 9 indexed citations
17.
Ueda, Kohei, Junichi Hirahashi, George Seki, et al.. (2014). Successful Treatment of Acute Kidney Injury in Patients with Idiopathic Nephrotic Syndrome Using Human Atrial Natriuretic Peptide. Internal Medicine. 53(8). 865–869. 7 indexed citations
18.
FUJITA, Ichiro, Ryota TSUBAKI, & Yusuke Takeshima. (2004). Characteristics of water surface oscillation in open channel flow with a side cavity. Journal of Applied Mechanics. 7. 969–977.

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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