IRF3 and type I interferons fuel a fatal response to myocardial infarction

Abstract

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About

This paper, published in 1950, received 410 indexed citations. Written by Kevin R. King, Aaron D. Aguirre, Yuxiang Ye, Yuan Sun, Jason D. Roh, Richard P Ng, Rainer H. Köhler, Sean P. Arlauckas, Yoshiko Iwamoto and Andrej Savol covering the research area of Immunology and Molecular Biology. It is primarily cited by scholars working on Immunology (257 citations), Molecular Biology (256 citations) and Cardiology and Cardiovascular Medicine (123 citations). Published in Nature Medicine.

In The Last Decade

doi.org/10.1038/nm.4428 →

Countries where authors are citing IRF3 and type I interferons fuel a fatal response to myocardial infarction

Since Specialization
Citations

This map shows the geographic impact of IRF3 and type I interferons fuel a fatal response to myocardial infarction. 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 IRF3 and type I interferons fuel a fatal response to myocardial infarction with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites IRF3 and type I interferons fuel a fatal response to myocardial infarction more than expected).

Fields of papers citing IRF3 and type I interferons fuel a fatal response to myocardial infarction

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of IRF3 and type I interferons fuel a fatal response to myocardial infarction. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the IRF3 and type I interferons fuel a fatal response to myocardial infarction.

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/nm.4428.

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