Masato Kubo

13.1k total citations · 4 hit papers
129 papers, 9.4k citations indexed

About

Masato Kubo is a scholar working on Immunology, Oncology and Physiology. According to data from OpenAlex, Masato Kubo has authored 129 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 102 papers in Immunology, 33 papers in Oncology and 21 papers in Physiology. Recurrent topics in Masato Kubo's work include Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (47 papers) and Cytokine Signaling Pathways and Interactions (24 papers). Masato Kubo is often cited by papers focused on Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (47 papers) and Cytokine Signaling Pathways and Interactions (24 papers). Masato Kubo collaborates with scholars based in Japan, United States and United Kingdom. Masato Kubo's co-authors include Akihiko Yoshimura, Toshikatsu Hanada, Yasutaka Motomura, Hiromasa Inoue, Akihiko Yoshimura, Kentaro Tanaka, Toshinori Nakayama, Kyoko Inagaki‐Ohara, John Ransom and Jun Tsukada and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Masato Kubo

129 papers receiving 9.3k citations

Hit Papers

Foxp3-Dependent MicroRNA155 Confers Competitive Fitness t... 2002 2026 2010 2018 2009 2002 2003 2017 200 400 600

Peers

Masato Kubo
Achsah Keegan United States
Massimo Gadina United States
Seon Hee Chang United States
Kim L. Stocking United States
Estelle Bettelli United States
Achsah Keegan United States
Masato Kubo
Citations per year, relative to Masato Kubo Masato Kubo (= 1×) peers Achsah Keegan

Countries citing papers authored by Masato Kubo

Since Specialization
Citations

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

Fields of papers citing papers by Masato Kubo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masato Kubo

This figure shows the co-authorship network connecting the top 25 collaborators of Masato Kubo. A scholar is included among the top collaborators of Masato Kubo 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 Masato Kubo. Masato Kubo 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.
Nagano, Yuji, Satoru Morita, Takeshi Tanoue, et al.. (2023). Diet-mediated constitutive induction of novel IL-4+ ILC2 cells maintains intestinal homeostasis in mice. The Journal of Experimental Medicine. 220(8). 14 indexed citations
2.
Mia, Sobuj, Ravi Sonkar, Mary N. Latimer, et al.. (2023). Novel Roles for the Transcriptional Repressor E4BP4 in Both Cardiac Physiology and Pathophysiology. JACC Basic to Translational Science. 8(9). 1141–1156. 10 indexed citations
3.
Jin, Jianshi, Noriko Takahashi, Harumichi Ishigame, et al.. (2023). Sensory neuronal STAT3 is critical for IL-31 receptor expression and inflammatory itch. Cell Reports. 42(12). 113433–113433. 21 indexed citations
4.
Takamura, Shiki, Shigekí Kato, Chihiro Motozono, et al.. (2019). Interstitial-resident memory CD8+ T cells sustain frontline epithelial memory in the lung. The Journal of Experimental Medicine. 216(12). 2736–2747. 56 indexed citations
5.
Hosoi, Akihiro, Kazuyoshi Takeda, Koji Nagaoka, et al.. (2018). Increased diversity with reduced “diversity evenness” of tumor infiltrating T-cells for the successful cancer immunotherapy. Scientific Reports. 8(1). 1058–1058. 48 indexed citations
6.
Wang, Yuhao, Zheng Kuang, Xiaofei Yu, et al.. (2017). The intestinal microbiota regulates body composition through NFIL3 and the circadian clock. Science. 357(6354). 912–916. 332 indexed citations breakdown →
7.
Shirota, Hidekazu, et al.. (2016). IL4 from T Follicular Helper Cells Downregulates Antitumor Immunity. Cancer Immunology Research. 5(1). 61–71. 31 indexed citations
8.
Firth, Matthew A., Sharline Madera, Aimee M. Beaulieu, et al.. (2013). Nfil3-independent lineage maintenance and antiviral response of natural killer cells. The Journal of Experimental Medicine. 210(13). 2981–2990. 119 indexed citations
9.
Watarai, Hiroshi, Tomokuni Shigeura, Yasutaka Motomura, et al.. (2012). Development and Function of Invariant Natural Killer T Cells Producing TH2- and TH17-Cytokines. PLoS Biology. 10(2). e1001255–e1001255. 161 indexed citations
10.
Kohu, Kazuyoshi, Won Fen Wong, Shunsuke Kon, et al.. (2009). The Runx3 Transcription Factor Augments Th1 and Down-Modulates Th2 Phenotypes by Interacting with and Attenuating GATA3. The Journal of Immunology. 183(12). 7817–7824. 60 indexed citations
11.
Tanaka, Shinya, Takayuki Yoshimoto, Tetsuji Naka, et al.. (2009). Natural Occurring IL-17 Producing T Cells Regulate the Initial Phase of Neutrophil Mediated Airway Responses. The Journal of Immunology. 183(11). 7523–7530. 50 indexed citations
12.
Fukuyama, Satoru, Takako Nakano, Takafumi Matsumoto, et al.. (2009). Pulmonary Suppressor of Cytokine Signaling-1 Induced by IL-13 Regulates Allergic Asthma Phenotype. American Journal of Respiratory and Critical Care Medicine. 179(11). 992–998. 27 indexed citations
13.
Yang, Jianying, Mariko Okamoto, Shinya Tanaka, et al.. (2007). IL-7/STAT5 Cytokine Signaling Pathway Is Essential but Insufficient for Maintenance of Naive CD4 T Cell Survival in Peripheral Lymphoid Organs. The Journal of Immunology. 178(1). 262–270. 32 indexed citations
14.
Takatori, Hiroaki, Hiroshi Nakajima, Koichi Hirose, et al.. (2005). Stat5a Inhibits IL-12-Induced Th1 Cell Differentiation through the Induction of Suppressor of Cytokine Signaling 3 Expression. The Journal of Immunology. 174(7). 4105–4112. 47 indexed citations
15.
Hanada, Toshikatsu, Kentaro Tanaka, Yumiko Matsumura, et al.. (2005). Induction of Hyper Th1 Cell-Type Immune Responses by Dendritic Cells Lacking the Suppressor of Cytokine Signaling-1 Gene. The Journal of Immunology. 174(7). 4325–4332. 87 indexed citations
16.
Seki, Noriyasu, Wataru Suzuki, Katsuhiko Hayashi, et al.. (2004). IL-4-Induced GATA-3 Expression Is a Time-Restricted Instruction Switch for Th2 Cell Differentiation. The Journal of Immunology. 172(10). 6158–6166. 57 indexed citations
17.
Hayashi, Keitaro, Waka Natsume, Toshio Watanabe, et al.. (2003). The Runx1 Transcription Factor Inhibits the Differentiation of Naive CD4 + T Cells into the Th2 Lineage by Repressing GATA3 Expression. The Journal of Experimental Medicine. 198(1). 51–61. 111 indexed citations
18.
Iigo, Yutaka, et al.. (2002). Development of Atopic Dermatitis-Like Skin Lesions in STAT6-Deficient NC/Nga Mice. The Journal of Immunology. 168(4). 2020–2027. 114 indexed citations
19.
Abé, Hiroyuki, Toshikazu Takeshita, Kinya Nagata, et al.. (1999). Molecular cloning, chromosome mapping and characterization of the mouse CRTH2 gene, a putative member of the leukocyte chemoattractant receptor family. Gene. 227(1). 71–77. 71 indexed citations
20.
Asano, Yoshihiro, Toshinori Nakayama, Masato Kubo, Junji Yagi, & Tomio Tada. (1987). Epitopes associated with MHC restriction site of T cells. III. I-J epitope on MHC-restricted T helper cells.. The Journal of Experimental Medicine. 166(6). 1613–1626. 13 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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