Toll-like receptors: critical proteins linking innate and acquired immunity
- Journal
- Nature Immunology
In The Last Decade
doi.org/10.1038/90609 →Countries where authors are citing Toll-like receptors: critical proteins linking innate and acquired immunity
This map shows the geographic impact of Toll-like receptors: critical proteins linking innate and acquired immunity. 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 Toll-like receptors: critical proteins linking innate and acquired immunity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toll-like receptors: critical proteins linking innate and acquired immunity more than expected).
Fields of papers citing Toll-like receptors: critical proteins linking innate and acquired immunity
This network shows the impact of Toll-like receptors: critical proteins linking innate and acquired immunity. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Toll-like receptors: critical proteins linking innate and acquired immunity.
About Toll-like receptors: critical proteins linking innate and acquired immunity
This paper, published in 2001, received 3.9k indexed citations . Written by Shizuo Akira, Kiyoshi Takeda and Tsuneyasu Kaisho covering the research area of Immunology, Cancer Research and Microbiology. It is primarily cited by scholars working on Immunology (2.9k citations), Molecular Biology (810 citations) and Epidemiology (623 citations). Published in 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.
This paper is also available at doi.org/10.1038/90609.