Takato Kusakabe

1.3k total citations · 1 hit paper
15 papers, 743 citations indexed

About

Takato Kusakabe is a scholar working on Immunology, Molecular Biology and Epidemiology. According to data from OpenAlex, Takato Kusakabe has authored 15 papers receiving a total of 743 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Molecular Biology and 5 papers in Epidemiology. Recurrent topics in Takato Kusakabe's work include Immune Response and Inflammation (6 papers), Antifungal resistance and susceptibility (4 papers) and Immunotherapy and Immune Responses (4 papers). Takato Kusakabe is often cited by papers focused on Immune Response and Inflammation (6 papers), Antifungal resistance and susceptibility (4 papers) and Immunotherapy and Immune Responses (4 papers). Takato Kusakabe collaborates with scholars based in Japan, United States and France. Takato Kusakabe's co-authors include Iliyan D. Iliev, Itai Doron, Woan-Yu Lin, Xin Li, Irina Leonardi, William D. Fiers, Etsushi Kuroda, Ken J. Ishii, Iris H. Gao and Alexa Semon and has published in prestigious journals such as Nature, Cell and The Journal of Immunology.

In The Last Decade

Takato Kusakabe

15 papers receiving 741 citations

Hit Papers

Immune regulation by fungal strain diversity in inflammat... 2022 2026 2023 2024 2022 50 100 150
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.

  1. Immune regulation by fungal strain diversity in inflammatory bowel disease
    2022 191 citations Xin Li, Irina Leonardi et al. Nature profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takato Kusakabe Japan 13 443 282 230 153 121 15 743
Elisabeth Kernbauer Austria 11 334 0.8× 295 1.0× 334 1.5× 167 1.1× 53 0.4× 12 830
Quoclinh Nguyen United States 4 538 1.2× 363 1.3× 182 0.8× 185 1.2× 174 1.4× 4 873
Jürgen Loeffler Germany 8 290 0.7× 408 1.4× 245 1.1× 293 1.9× 56 0.5× 10 834
Araceli Pérez-López United States 11 338 0.8× 142 0.5× 189 0.8× 70 0.5× 172 1.4× 18 695
Alexa Semon United States 6 465 1.0× 389 1.4× 120 0.5× 178 1.2× 150 1.2× 8 716
Susanta Pahari India 15 312 0.7× 341 1.2× 302 1.3× 208 1.4× 36 0.3× 24 737
Alfredo Chávez‐Arroyo United States 6 340 0.8× 118 0.4× 187 0.8× 138 0.9× 79 0.7× 7 677
Itai Doron United States 6 532 1.2× 429 1.5× 141 0.6× 193 1.3× 179 1.5× 7 812
Nanda de Groot Netherlands 14 499 1.1× 254 0.9× 71 0.3× 141 0.9× 92 0.8× 22 956
Agustina Errea Argentina 13 336 0.8× 94 0.3× 183 0.8× 207 1.4× 93 0.8× 20 772

Countries citing papers authored by Takato Kusakabe

Since Specialization
Citations

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

Fields of papers citing papers by Takato Kusakabe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takato Kusakabe

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

All Works

15 of 15 papers shown
1.
Liao, Yun, Iris H. Gao, Takato Kusakabe, et al.. (2024). Fungal symbiont transmitted by free-living mice promotes type 2 immunity. Nature. 636(8043). 697–704. 16 indexed citations
2.
Doron, Itai, Takato Kusakabe, & Iliyan D. Iliev. (2023). Immunoglobulins at the interface of the gut mycobiota and anti-fungal immunity. Seminars in Immunology. 67. 101757–101757. 14 indexed citations
3.
Watanabe, A., Burcu Temizoz, Takato Kusakabe, et al.. (2022). Safety and immunogenicity of a quadrivalent seasonal influenza vaccine adjuvanted with hydroxypropyl-β-cyclodextrin: A phase 1 clinical trial. Vaccine. 40(31). 4150–4159. 5 indexed citations
4.
Li, Xin, Irina Leonardi, Gregory Putzel, et al.. (2022). Immune regulation by fungal strain diversity in inflammatory bowel disease. Nature. 603(7902). 672–678. 191 indexed citations breakdown →
5.
Temizoz, Burcu, Nao Jounai, Takato Kusakabe, et al.. (2022). Anti-tumor immunity by transcriptional synergy between TLR9 and STING activation. International Immunology. 34(7). 353–364. 22 indexed citations
6.
Doron, Itai, Xin Li, Takato Kusakabe, et al.. (2021). Mycobiota-induced IgA antibodies regulate fungal commensalism in the gut and are dysregulated in Crohn’s disease. Nature Microbiology. 6(12). 1493–1504. 109 indexed citations
7.
Doron, Itai, Irina Leonardi, Xin Li, et al.. (2021). Human gut mycobiota tune immunity via CARD9-dependent induction of anti-fungal IgG antibodies. Cell. 184(4). 1017–1031.e14. 141 indexed citations
8.
Kusakabe, Takato, Masatoshi Momota, Tomoya Hayashi, et al.. (2020). IL-33 Is Essential for Adjuvant Effect of Hydroxypropyl-β-Cyclodexrin on the Protective Intranasal Influenza Vaccination. Frontiers in Immunology. 11. 360–360. 12 indexed citations
9.
Momota, Masatoshi, Patrick M. Lelliott, Takato Kusakabe, et al.. (2019). ZBP1 governs the inflammasome-independent IL-1α and neutrophil inflammation that play a dual role in anti-influenza virus immunity. International Immunology. 32(3). 203–212. 33 indexed citations
10.
Ozasa, Koji, Burcu Temizoz, Takato Kusakabe, et al.. (2019). Cyclic GMP-AMP Triggers Asthma in an IL-33-Dependent Manner That Is Blocked by Amlexanox, a TBK1 Inhibitor. Frontiers in Immunology. 10. 2212–2212. 43 indexed citations
11.
Hayashi, Tomoya, Masatoshi Momota, Etsushi Kuroda, et al.. (2018). DAMP-Inducing Adjuvant and PAMP Adjuvants Parallelly Enhance Protective Type-2 and Type-1 Immune Responses to Influenza Split Vaccination. Frontiers in Immunology. 9. 2619–2619. 37 indexed citations
12.
Kanuma, Tomohiro, Takuya Yamamoto, Kouji Kobiyama, et al.. (2017). CD63-Mediated Antigen Delivery into Extracellular Vesicles via DNA Vaccination Results in Robust CD8+ T Cell Responses. The Journal of Immunology. 198(12). 4707–4715. 59 indexed citations
13.
Hayashi, Masayuki, Taiki Aoshi, Koji Ozasa, et al.. (2016). RNA is an Adjuvanticity Mediator for the Lipid-Based Mucosal Adjuvant, Endocine. Scientific Reports. 6(1). 29165–29165. 8 indexed citations
14.
Kitahata, Yuji, Tomohiro Kanuma, Masayuki Hayashi, et al.. (2016). Circulating nano-particulate TLR9 agonist scouts out tumor microenvironment to release immunogenic dead tumor cells. Oncotarget. 7(31). 48860–48869. 22 indexed citations
15.
Kusakabe, Takato, Koji Ozasa, Masatoshi Momota, et al.. (2016). Intranasal hydroxypropyl-β-cyclodextrin-adjuvanted influenza vaccine protects against sub-heterologous virus infection. Vaccine. 34(27). 3191–3198. 31 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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