TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes

674 indexed citations

Abstract

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This paper, published in 2020, received 674 indexed citations. Written by Ruochen Zang, María Florencia Gómez Castro, Broc T. McCune, Qiru Zeng, Paul W. Rothlauf, Naomi Sonnek, Zhuoming Liu, Kevin Brulois, Xin Wang and Harry B. Greenberg covering the research area of Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (522 citations), Molecular Biology (133 citations) and Neurology (116 citations). Published in Science Immunology.

Countries where authors are citing TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes

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This map shows the geographic impact of TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes. 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 TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes more than expected).

Fields of papers citing TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the TMPRSS2 and TMPRSS4 promote SARS-CoV-2 infection of human small intestinal enterocytes.

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/10.1126/sciimmunol.abc3582.

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