Shizuo Akira
- Immunology top 0.01%
- Molecular Biology top 0.01%
- Epidemiology top 0.01%
- Cancer Research top 0.01%
- Oncology top 0.01%
- Co-authors
- Taro KawaiKiyoshi TakedaOsamu TakeuchiSatoshi UematsuTsuneyasu KaishoShintaro SatoKatsuaki HoshinoHiroaki Hemmi
- Topics
- Immune Response and Inflammation (604 papers)interferon and immune responses (222 papers)Immune Cell Function and Interaction (206 papers)
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Shizuo Akira
1.2k papers receiving 256.8k citations
Hit Papers
Peers
Comparison fields: 5 of 201
- Immunology 164.0k
- Molecular Biology 79.6k
- Epidemiology 48.5k
- Cancer Research 29.0k
- Oncology 27.9k
Countries citing papers authored by Shizuo Akira
This map shows the geographic impact of Shizuo Akira'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 Shizuo Akira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shizuo Akira more than expected).
Fields of papers citing papers by Shizuo Akira
This network shows the impact of papers produced by Shizuo Akira. 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 Shizuo Akira. The network helps show where Shizuo Akira may publish in the future.
Co-authorship network of co-authors of Shizuo Akira
This figure shows the co-authorship network connecting the top 25 collaborators of Shizuo Akira. A scholar is included among the top collaborators of Shizuo Akira 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 Shizuo Akira. Shizuo Akira is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 53 | |
| 2 | 128 | |
| 3 | 226 | |
| 4 | 320 | |
| 5 | 14 | |
| 6 | 77 | |
| 7 | LGP2 is a positive regulator of RIG-I– and MDA5-mediated antiviral responsesbreakdown → | 519 |
| 8 | Direct recognition of the mycobacterial glycolipid, trehalose dimycolate, by C-type lectin Minclebreakdown → | 579 |
| 9 | 115 | |
| 10 | 339 | |
| 11 | Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune responsebreakdown → | 675 |
| 12 | 369 | |
| 13 | 244 | |
| 14 | 486 | |
| 15 | 127 | |
| 16 | Distinct RIG-I and MDA5 Signaling by RNA Viruses in Innate Immunitybreakdown → | 843 |
| 17 | Regulation of innate antiviral defenses through a shared repressor domain in RIG-I and LGP2breakdown → | 592 |
| 18 | 416 | |
| 19 | Innate Antiviral Responses by Means of TLR7-Mediated Recognition of Single-Stranded RNAbreakdown → | 2680 |
| 20 | Role of Adaptor TRIF in the MyD88-Independent Toll-Like Receptor Signaling Pathwaybreakdown → | 2604 |
About Shizuo Akira
Shizuo Akira is a scholar working on Immunology, Cancer Research and Microbiology, having authored 1.2k papers that have together received 261.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (604 papers), interferon and immune responses (222 papers) and Immune Cell Function and Interaction (206 papers). The work is most often cited by research in Immunology (164.0k citations), Microbiology (12.6k citations) and Cancer Research (29.0k citations). Shizuo Akira has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Taro Kawai, Kiyoshi Takeda, Osamu Takeuchi, Satoshi Uematsu, Tsuneyasu Kaisho, Shintaro Sato, Katsuaki Hoshino, Hiroaki Hemmi, Masahiro Yamamoto and Ken J. Ishii. Their work appears in journals such as Nature, Science and Cell.
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.