Ko Okumura
- Immunology top 0.01%
- Immune Cell Function and Interaction 256
- T-cell and B-cell Immunology 197
- Immunotherapy and Immune Responses 135
- Immune Response and Inflammation 88
- Mast cells and histamine 64
- Immunology and Allergy top 0.02%
- Allergic Rhinitis and Sensitization 72
- Dermatology top 0.05%
- Dermatology and Skin Diseases 65
- Microbiology top 0.1%
- Cancer Research top 0.2%
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- Asthma and respiratory diseases 86
- Co-authors
- Hideo Yagita∥Hideoki OgawaKazuyoshi TakedaNobuhiko KayagakiTomio TadaMiyuki AzumaHisaya AkibaHiroko Ushio
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Ko Okumura
839 papers receiving 46.0k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Immunology 28.8k
- Immunology and Allergy 5.2k
- Dermatology 2.8k
- Microbiology 1.7k
- Cancer Research 4.1k
Countries citing papers authored by Ko Okumura
This map shows the geographic impact of Ko Okumura'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 Ko Okumura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ko Okumura more than expected).
Fields of papers citing papers by Ko Okumura
This network shows the impact of papers produced by Ko Okumura. 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 Ko Okumura. The network helps show where Ko Okumura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ko Okumura, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 2 | |
| 8 | 2018 | 23 | |
| 9 | 2018 | 11 | |
| 10 | 2017 | 105 | |
| 11 | 2015 | 39 | |
| 12 | IL-33 is a crucial amplifier of innate rather than acquired immunitybreakdown → | 2010 | 534 |
| 13 | 2006 | 97 | |
| 14 | 2005 | 16 | |
| 15 | 2004 | 165 | |
| 16 | 2002 | 346 | |
| 17 | 1999 | 2 | |
| 18 | 1997 | 18 | |
| 19 | Diffuse [CII] 158 Micron Line Emission from the Interstellar Matter at High Galactic Latitude | 1996 | 1 |
| 20 | Molecular properties of F9 embryoglycan recognized by a unique antibody in sera from patients with germ cell tumors. | 1987 | 7 |
About Ko Okumura
Ko Okumura is a scholar working on Immunology, Immunology and Allergy and Dermatology, having authored 848 papers that have together received 47.4k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (256 papers), T-cell and B-cell Immunology (197 papers), Immunotherapy and Immune Responses (135 papers), Immune Response and Inflammation (88 papers), Asthma and respiratory diseases (86 papers), Allergic Rhinitis and Sensitization (72 papers), Dermatology and Skin Diseases (65 papers) and Mast cells and histamine (64 papers). The work is most often cited by research in Immunology (28.8k citations), Immunology and Allergy (5.2k citations) and Dermatology (2.8k citations). Ko Okumura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Hideo Yagita∥, Hideoki Ogawa, Kazuyoshi Takeda, Nobuhiko Kayagaki, Tomio Tada, Miyuki Azuma, Hisaya Akiba, Hiroko Ushio, Hiroyasu Nakano and Atsuhito Nakao. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.