Taro Kawai
Impact in
- Immunology top 0.01%
- Immune Response and Inflammation
- interferon and immune responses
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune cells in cancer
- Microbiology top 0.02%
- Antimicrobial Peptides and Activities
Papers in
- Immunology 141
- Immune Response and Inflammation 96
- interferon and immune responses 84
- Immune Cell Function and Interaction 27
- Immunotherapy and Immune Responses 14
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- Inflammasome and immune disorders 20
- Co-authors
- Shizuo Akira (114 shared papers)Osamu Takeuchi (48 shared papers)Kiyoshi Takeda (22 shared papers)Himanshu Kumar (23 shared papers)Shintaro Sato (22 shared papers)Hideki Sanjo (14 shared papers)Katsuaki Hoshino (12 shared papers)Takumi Kawasaki (21 shared papers)
- Journals
- The Journal of Immunology (24 papers)Immunity (9 papers)The Journal of Experimental Medicine (9 papers)International Immunology (9 papers)Nature Immunology (9 papers)
- Partner nations
- JapanUnited StatesIsrael
In The Last Decade
Taro Kawai
176 papers receiving 68.3k citations
Taro Kawai's Hit Papers
Peers
Comparison fields: 5 of 181
- Immunology 45.8k
- Microbiology 4.0k
- Cancer Research 8.3k
- Infectious Diseases 6.8k
- Epidemiology 12.0k
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-authors
The 25 scholars most cited alongside Taro Kawai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 179 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The role of pattern-recognition receptors in innate immunity: update on Toll-like receptors Hit paper breakdown → | 2010 | 7414 |
| 2 | A Toll-like receptor recognizes bacterial DNA Hit paper breakdown → | 2000 | 5467 |
| 3 | Differential roles of MDA5 and RIG-I helicases in the recognition of RNA viruses Hit paper breakdown → | 2006 | 3139 |
| 4 | Toll-like Receptors and Their Crosstalk with Other Innate Receptors in Infection and Immunity Hit paper breakdown → | 2011 | 2996 |
| 5 | Cutting Edge: Toll-Like Receptor 4 (TLR4)-Deficient Mice Are Hyporesponsive to Lipopolysaccharide: Evidence for TLR4 as the Lps Gene Product Hit paper breakdown → | 1999 | 2943 |
| 6 | Differential Roles of TLR2 and TLR4 in Recognition of Gram-Negative and Gram-Positive Bacterial Cell Wall Components Hit paper breakdown → | 1999 | 2883 |
| 7 | Toll-Like Receptor Signaling Pathways Hit paper breakdown → | 2014 | 2563 |
| 8 | IPS-1, an adaptor triggering RIG-I- and Mda5-mediated type I interferon induction Hit paper breakdown → | 2005 | 2174 |
| 9 | Signaling to NF-κB by Toll-like receptors Hit paper breakdown → | 2007 | 2015 |
| 10 | Pathogen Recognition by the Innate Immune System Hit paper breakdown → | 2011 | 1785 |
| 11 | Unresponsiveness of MyD88-Deficient Mice to Endotoxin Hit paper breakdown → | 1999 | 1772 |
| 12 | Targeted Disruption of the MyD88 Gene Results in Loss of IL-1- and IL-18-Mediated Function Hit paper breakdown → | 1998 | 1751 |
| 13 | Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1β production Hit paper breakdown → | 2008 | 1745 |
| 14 | TLR signaling Hit paper breakdown → | 2006 | 1615 |
| 15 | Innate immune recognition of viral infection Hit paper breakdown → | 2006 | 1583 |
| 16 | The roles of TLRs, RLRs and NLRs in pathogen recognition Hit paper breakdown → | 2009 | 1309 |
| 17 | TLR signaling Hit paper breakdown → | 2007 | 1256 |
| 18 | Discrimination of bacterial lipoproteins by Toll-like receptor 6 Hit paper breakdown → | 2001 | 1036 |
| 19 | Toll-like receptors and innate immunity Hit paper breakdown → | 2009 | 973 |
| 20 | Lipopolysaccharide Stimulates the MyD88-Independent Pathway and Results in Activation of IFN-Regulatory Factor 3 and the Expression of a Subset of Lipopolysaccharide-Inducible Genes Hit paper breakdown → | 2001 | 927 |
About Taro Kawai
Taro Kawai is a scholar working on Immunology, Molecular Biology, Cancer Research, Epidemiology and Infectious Diseases, having authored 179 papers that have together received 69.8k indexed citations. Recurring topics across this work include Immune Response and Inflammation (96 papers), interferon and immune responses (84 papers), NF-κB Signaling Pathways (30 papers), Immune Cell Function and Interaction (27 papers), Inflammasome and immune disorders (20 papers), Immunotherapy and Immune Responses (14 papers), Influenza Virus Research Studies (14 papers) and Cytokine Signaling Pathways and Interactions (10 papers). The work is most often cited by research in Immunology (45.8k citations), Microbiology (4.0k citations), Cancer Research (8.3k citations), Infectious Diseases (6.8k citations) and Epidemiology (12.0k citations). Taro Kawai has collaborated with scholars based in Japan, United States and Israel. Frequent co-authors include Shizuo Akira, Osamu Takeuchi, Kiyoshi Takeda, Himanshu Kumar, Shintaro Sato, Hideki Sanjo, Katsuaki Hoshino, Takumi Kawasaki, Tomohiko Ogawa and Ken J. Ishii. Their work appears in journals such as The Journal of Immunology, Immunity, The Journal of Experimental Medicine, International Immunology and Nature Immunology.
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.