Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus

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About

This paper, published in 1950, received 1.3k indexed citations. Written by Evelyn A. Kurt‐Jones, L. Popova, Lia M. Haynes, Les Jones, Ralph A. Tripp, Edward E. Walsh, Mason W. Freeman, Douglas T. Golenbock, Larry J. Anderson and Robert W. Finberg covering the research area of Epidemiology and Immunology. It is primarily cited by scholars working on Immunology (832 citations), Epidemiology (624 citations) and Pulmonary and Respiratory Medicine (272 citations). Published in Nature Immunology.

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doi.org/10.1038/80833 →

Countries where authors are citing Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus

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This map shows the geographic impact of Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus. 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 Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus more than expected).

Fields of papers citing Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Pattern recognition receptors TLR4 and CD14 mediate response to respiratory syncytial virus.

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/10.1038/80833.

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