Masato Kubo

12.3k total citations · 4 hit papers
54 papers, 7.4k citations indexed

About

Masato Kubo is a scholar working on Immunology, Physiology and Immunology and Allergy. According to data from OpenAlex, Masato Kubo has authored 54 papers receiving a total of 7.4k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Immunology, 18 papers in Physiology and 11 papers in Immunology and Allergy. Recurrent topics in Masato Kubo's work include Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (21 papers) and Asthma and respiratory diseases (18 papers). Masato Kubo is often cited by papers focused on Immune Cell Function and Interaction (23 papers), T-cell and B-cell Immunology (21 papers) and Asthma and respiratory diseases (18 papers). Masato Kubo collaborates with scholars based in Japan, United States and China. Masato Kubo's co-authors include Akihiko Yoshimura, Tetsuji Naka, Motoko Y. Kimura, Batu Erman, Lothar Hennighausen, Amala Alag, Jung‐Hyun Park, Lionel Feigenbaum, Terry I. Guinter and Marta Catálfamo and has published in prestigious journals such as Nature, Nature Medicine and Nature Communications.

In The Last Decade

Masato Kubo

52 papers receiving 7.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Signaling by intrathymic cytokines, not T cell antigen receptors, specifies CD8 lineage choice and promotes the differentiation of cytotoxic-lineage T cells

2010 2.9k citations Jung‐Hyun Park, Stanley Adoro et al. Nature Immunology profile →
SOCS proteins, cytokine signalling and immune regulation

2007 1.3k citations Masato Kubo et al. profile →
TSLP promotes interleukin-3-independent basophil haematopoiesis and type 2 inflammation

2011 411 citations Mark C. Siracusa, Steven A. Saenz et al. Nature profile →
The interaction of innate immune and adaptive immune system

2024 74 citations Masato Kubo et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masato Kubo Japan	28	5.1k	1.3k	1.1k	1.1k	841	54	7.4k
Marika Sarfati Canada	51	4.9k 1.0×	859 0.7×	1.5k 1.3×	1.5k 1.4×	1.1k 1.4×	128	7.5k
Sandra Zurawski United States	31	6.6k 1.3×	1.2k 1.0×	1.8k 1.6×	1.2k 1.1×	1.3k 1.5×	52	9.3k
Yves Delneste France	53	6.0k 1.2×	1.3k 1.0×	996 0.9×	2.2k 2.0×	696 0.8×	157	9.5k
Jean‐François Gauchat Canada	39	3.4k 0.7×	833 0.7×	834 0.7×	1.1k 1.0×	706 0.8×	95	5.4k
Kiyoshi Hirahara Japan	39	3.9k 0.8×	940 0.7×	980 0.9×	1.2k 1.1×	384 0.5×	88	5.6k
Achsah Keegan United States	44	4.8k 0.9×	2.0k 1.6×	1.4k 1.2×	1.9k 1.7×	527 0.6×	119	7.9k
Aya Nambu Japan	22	4.1k 0.8×	730 0.6×	696 0.6×	963 0.9×	302 0.4×	36	5.8k
Wei Cao United States	35	5.2k 1.0×	728 0.6×	1.3k 1.1×	1.6k 1.5×	595 0.7×	93	8.3k
Guttorm Haraldsen Norway	39	4.4k 0.9×	1.6k 1.2×	626 0.6×	1.6k 1.4×	778 0.9×	89	7.2k
F Rousset France	38	5.6k 1.1×	1.1k 0.9×	1.0k 0.9×	1.1k 1.0×	1.2k 1.4×	69	8.5k

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

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20 of 20 papers shown

Kubo, Masato, et al.. (2025). Enhancement of suppressive function of Ly49+ CD8+ T cells in allogeneic immunity by CD80/86-CD28 blockade in mouse. The Journal of Heart and Lung Transplantation. 45(4). 693–706.

Ichii, Michiko, Yasuyo Harada, Masato Kubo, et al.. (2024). Role of Signal-Transducing Adaptor Protein-1 for T Cell Activation and Pathogenesis of Autoimmune Demyelination and Airway Inflammation. The Journal of Immunology. 212(6). 951–961. 3 indexed citations

Park, Jiyeon, Dongchan Yang, Hanseul Yang, et al.. (2023). The transcription factor NFIL3/E4BP4 regulates the developmental stage–specific acquisition of basophil function. Journal of Allergy and Clinical Immunology. 153(1). 132–145. 6 indexed citations

Harada, Yasuyo, Takanori Sasaki, Mariko Okada, et al.. (2023). Type 2 helper T cells convert into Interleukin-13-expressing follicular helper T cells after antigen repriming. 5(1). 1–12. 2 indexed citations

Hojyo, Shintaro, Damon J. Tumes, Kosuke Miyauchi, et al.. (2020). Enhanced Cell Division Is Required for the Generation of Memory CD4 T Cells to Migrate Into Their Proper Location. Frontiers in Immunology. 10. 3113–3113. 3 indexed citations

Imai, Yasutomo, et al.. (2019). IL-33–Induced Atopic Dermatitis–Like Inflammation in Mice Is Mediated by Group 2 Innate Lymphoid Cells in Concert with Basophils. Journal of Investigative Dermatology. 139(10). 2185–2194.e3. 62 indexed citations

Kubo, Masato. (2017). T follicular helper and TH2 cells in allergic responses. Allergology International. 66(3). 377–381. 35 indexed citations

Lim, Hoyong, Hyun‐Woo Shin, Roza Khalmuratova, et al.. (2017). Fibrinogen cleavage products and Toll-like receptor 4 promote the generation of programmed cell death 1 ligand 2–positive dendritic cells in allergic asthma. Journal of Allergy and Clinical Immunology. 142(2). 530–541.e6. 24 indexed citations

Kurashima, Yosuke, Kumiko Fujisawa, Naoko Shibata, et al.. (2014). The Enzyme Cyp26b1 Mediates Inhibition of Mast Cell Activation by Fibroblasts to Maintain Skin-Barrier Homeostasis. Immunity. 40(4). 530–541. 67 indexed citations

10.

Nakashima, Chisa, Atsushi Otsuka, Akihiko Kitoh, et al.. (2014). Basophils regulate the recruitment of eosinophils in a murine model of irritant contact dermatitis. Journal of Allergy and Clinical Immunology. 134(1). 100–107.e12. 68 indexed citations

11.

Nakajima, Saeko, Akihiko Kitoh, Gyohei Egawa, et al.. (2014). IL-17A as an Inducer for Th2 Immune Responses in Murine Atopic Dermatitis Models. Journal of Investigative Dermatology. 134(8). 2122–2130. 142 indexed citations

12.

Kurashima, Yosuke, Tomonori Nochi, Kumiko Fujisawa, et al.. (2012). Extracellular ATP mediates mast cell-dependent intestinal inflammation through P2X7 purinoceptors. Nature Communications. 3(1). 1034–1034. 224 indexed citations

13.

Siracusa, Mark C., Steven A. Saenz, David A. Hill, et al.. (2011). TSLP promotes interleukin-3-independent basophil haematopoiesis and type 2 inflammation. Nature. 477(7363). 229–233. 411 indexed citations breakdown →

14.

Park, Jung‐Hyun, Stanley Adoro, Terry I. Guinter, et al.. (2010). Signaling by intrathymic cytokines, not T cell antigen receptors, specifies CD8 lineage choice and promotes the differentiation of cytotoxic-lineage T cells. Nature Immunology. 11(3). 257–264. 2928 indexed citations breakdown →

15.

Myburgh, Elmarie, William Horsnell, Antony J. Cutler, et al.. (2007). Murine IL-4 is able to signal via chimeric human IL-4Rα/mouse γ-chain receptor. Molecular Immunology. 45(5). 1327–1336. 5 indexed citations

16.

Watanabe, Hiroyuki, Masato Kubo, Katsumasa Takagi, et al.. (2006). Overexpression of Suppressor of Cytokine Signaling-5 in T Cells Augments Innate Immunity during Septic Peritonitis. The Journal of Immunology. 177(12). 8650–8657. 25 indexed citations

17.

Tanaka, Shinya, Jun Tsukada, Wataru Suzuki, et al.. (2006). The Interleukin-4 Enhancer CNS-2 Is Regulated by Notch Signals and Controls Initial Expression in NKT Cells and Memory-Type CD4 T Cells. Immunity. 24(6). 689–701. 107 indexed citations

18.

Ozaki, Akemi, et al.. (2005). The Control of Allergic Conjunctivitis by Suppressor of Cytokine Signaling (SOCS)3 and SOCS5 in a Murine Model. The Journal of Immunology. 175(8). 5489–5497. 97 indexed citations

19.

Watanabe, Masashi, Yasushi Hara, Yohsuke Harada, et al.. (2005). ICOS-Mediated Costimulation on Th2 Differentiation Is Achieved by the Enhancement of IL-4 Receptor-Mediated Signaling. The Journal of Immunology. 174(4). 1989–1996. 39 indexed citations

20.

Asano, Yoshihide, Toshinori Nakayama, Masato Kubo, et al.. (1988). Analysis of two distinct B cell activation pathways mediated by a monoclonal T helper cell. II. T helper cell secretion of interleukin 4 selectively inhibits antigen-specific B cell activation by cognate, but not noncognate, interactions with T cells.. The Journal of Immunology. 140(2). 419–426. 17 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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