Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2

549 indexed citations

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This paper, published in 2020, received 549 indexed citations. Written by Matthias Thoms, Robert Buschauer, Michael Ameismeier, Lennart Koepke, Timo Denk, Maximilian Hirschenberger, Hanna Kratzat, Manuel Hayn, Timur Mackens‐Kiani and Jingdong Cheng covering the research area of Immunology and Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (405 citations), Molecular Biology (207 citations) and Immunology (126 citations). Published in Science.

Countries where authors are citing Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2

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This map shows the geographic impact of Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. 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 Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2 more than expected).

Fields of papers citing Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2.

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/science.abc8665.

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