TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity

379 indexed citations

Abstract

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This paper, published in 2007, received 379 indexed citations. Written by Roberto Baccalà, Kasper Hoebe, Dwight H. Kono, Bruce Beutler and Argyrios N. Theofilopoulos covering the research area of Immunology and Rheumatology. It is primarily cited by scholars working on Immunology (295 citations), Rheumatology (116 citations) and Molecular Biology (74 citations). Published in Nature Medicine.

In The Last Decade

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Countries where authors are citing TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity

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Citations

This map shows the geographic impact of TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity. 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 TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity more than expected).

Fields of papers citing TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the TLR-dependent and TLR-independent pathways of type I interferon induction in systemic autoimmunity.

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/nm1590.

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