siRNA-directed inhibition of HIV-1 infection

631 indexed citations

Abstract

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About

This paper, published in 2002, received 631 indexed citations. Written by Carl D. Novina, Michael F. Murray, Derek M. Dykxhoorn, Paul J. Beresford, Jonathan W. Riess, Sang‐Kyung Lee, Ronald G. Collman, Judy Lieberman, Premlata Shankar and Phillip A. Sharp covering the research area of Molecular Biology, Virology and Immunology. It is primarily cited by scholars working on Molecular Biology (528 citations), Virology (166 citations) and Genetics (164 citations). Published in Nature Medicine.

In The Last Decade

doi.org/10.1038/nm725 →

Countries where authors are citing siRNA-directed inhibition of HIV-1 infection

Specialization
Citations

This map shows the geographic impact of siRNA-directed inhibition of HIV-1 infection. 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 siRNA-directed inhibition of HIV-1 infection with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites siRNA-directed inhibition of HIV-1 infection more than expected).

Fields of papers citing siRNA-directed inhibition of HIV-1 infection

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of siRNA-directed inhibition of HIV-1 infection. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the siRNA-directed inhibition of HIV-1 infection.

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/nm725.

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