Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2

232 indexed citations
published 2020

Countries where authors are citing Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2

Specialization
Citations

This map shows the geographic impact of Evidence for host-dependent RNA editing in the transcriptome 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 Evidence for host-dependent RNA editing in the transcriptome 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 Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2 more than expected).

Fields of papers citing Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Evidence for host-dependent RNA editing in the transcriptome 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 Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2.

About Evidence for host-dependent RNA editing in the transcriptome of SARS-CoV-2

This paper, published in 2020, received 232 indexed citations . Written by Salvatore Di Giorgio, Filippo Martignano, Maria Gabriella Torcia, Giorgio Mattiuz and Silvestro G. Conticello covering the research area of Molecular Biology and Cardiology and Cardiovascular Medicine. It is primarily cited by scholars working on Infectious Diseases (156 citations), Molecular Biology (129 citations) and Immunology (37 citations). Published in Science Advances.

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/sciadv.abb5813.

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