Taro Kawai
- Immunology top 0.01%
- Molecular Biology top 0.05%
- Epidemiology top 0.05%
- Cancer Research top 0.05%
- Infectious Diseases top 0.05%
- Co-authors
- Shizuo AkiraOsamu TakeuchiKiyoshi TakedaShintaro SatoHimanshu KumarHideki SanjoKatsuaki HoshinoTakumi Kawasaki
- Topics
- Immune Response and Inflammation (95 papers)interferon and immune responses (84 papers)NF-κB Signaling Pathways (30 papers)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Taro Kawai
175 papers receiving 66.0k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Immunology 46.7k
- Molecular Biology 20.2k
- Epidemiology 12.5k
- Cancer Research 8.7k
- Infectious Diseases 7.0k
Countries citing papers authored by Taro Kawai
This map shows the geographic impact of Taro Kawai'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 Taro Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taro Kawai more than expected).
Fields of papers citing papers by Taro Kawai
This network shows the impact of papers produced by Taro Kawai. 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 Taro Kawai. The network helps show where Taro Kawai may publish in the future.
Co-authorship network of co-authors of Taro Kawai
This figure shows the co-authorship network connecting the top 25 collaborators of Taro Kawai. A scholar is included among the top collaborators of Taro Kawai 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 Taro Kawai. Taro Kawai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 11 | |
| 4 | 53 | |
| 5 | 320 | |
| 6 | 17 | |
| 7 | Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune responsebreakdown → | 675 |
| 8 | 44 | |
| 9 | 138 | |
| 10 | 88 | |
| 11 | 486 | |
| 12 | 127 | |
| 13 | 250 | |
| 14 | 152 | |
| 15 | 71 | |
| 16 | Toll/IL-1 Receptor Domain-Containing Adaptor Inducing IFN-β (TRIF) Associates with TNF Receptor-Associated Factor 6 and TANK-Binding Kinase 1, and Activates Two Distinct Transcription Factors, NF-κB and IFN-Regulatory Factor-3, in the Toll-Like Receptor Signalingbreakdown → | 568 |
| 17 | 413 | |
| 18 | Lipopolysaccharide Stimulates the MyD88-Independent Pathway and Results in Activation of IFN-Regulatory Factor 3 and the Expression of a Subset of Lipopolysaccharide-Inducible Genesbreakdown → | 892 |
| 19 | 337 | |
| 20 | 481 |
About Taro Kawai
Taro Kawai is a scholar working on Immunology, Cancer Research and Molecular Biology, having authored 177 papers that have together received 67.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (95 papers), interferon and immune responses (84 papers) and NF-κB Signaling Pathways (30 papers). The work is most often cited by research in Immunology (46.7k citations), Microbiology (4.0k citations) and Cancer Research (8.7k citations). Taro Kawai has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Shizuo Akira, Osamu Takeuchi, Kiyoshi Takeda, Shintaro Sato, Himanshu Kumar, Hideki Sanjo, Katsuaki Hoshino, Takumi Kawasaki, Tomohiko Ogawa 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.