Masato Kubo
- Immunology top 0.2%
- Immune Cell Function and Interaction 57
- T-cell and B-cell Immunology 47
- Immunotherapy and Immune Responses 23
- IL-33, ST2, and ILC Pathways 17
- Immune Response and Inflammation 12
- Immunology and Allergy top 0.5%
- Oncology top 1%
- Cytokine Signaling Pathways and Interactions 24
- Dermatology top 0.5%
- Dermatology and Skin Diseases 11
- Cancer Research top 2%
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- Asthma and respiratory diseases 16
- Co-authors
- Akihiko YoshimuraToshikatsu HanadaYasutaka MotomuraHiromasa InoueKentaro TanakaToshinori NakayamaKyoko Inagaki‐OharaJohn Ransom
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (5 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Masato Kubo
129 papers receiving 9.3k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Immunology 5.9k
- Immunology and Allergy 730
- Oncology 2.4k
- Dermatology 617
- Cancer Research 967
Countries citing papers authored by Masato Kubo
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
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
The 25 scholars most cited alongside Masato Kubo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 14 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 21 | |
| 4 | 2019 | 56 | |
| 5 | 2018 | 48 | |
| 6 | The intestinal microbiota regulates body composition through NFIL3 and the circadian clockbreakdown → | 2017 | 332 |
| 7 | 2016 | 31 | |
| 8 | 2013 | 119 | |
| 9 | 2012 | 161 | |
| 10 | 2009 | 60 | |
| 11 | 2009 | 50 | |
| 12 | 2009 | 27 | |
| 13 | 2007 | 32 | |
| 14 | 2005 | 47 | |
| 15 | 2005 | 87 | |
| 16 | 2004 | 57 | |
| 17 | 2003 | 111 | |
| 18 | 2002 | 114 | |
| 19 | 1999 | 71 | |
| 20 | 1987 | 13 |
About Masato Kubo
Masato Kubo is a scholar working on Immunology, Immunology and Allergy and Dermatology, having authored 129 papers that have together received 9.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (57 papers), T-cell and B-cell Immunology (47 papers), Cytokine Signaling Pathways and Interactions (24 papers), Immunotherapy and Immune Responses (23 papers), IL-33, ST2, and ILC Pathways (17 papers), Asthma and respiratory diseases (16 papers), Immune Response and Inflammation (12 papers) and Dermatology and Skin Diseases (11 papers). The work is most often cited by research in Immunology (5.9k citations), Immunology and Allergy (730 citations) and Oncology (2.4k citations). Masato Kubo has collaborated with scholars based in Japan, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.