The role of a mutant CCR5 allele in HIV–1 transmission and disease progression

1.1k indexed citations

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This paper, published in 1996, received 1.1k indexed citations. Written by Yaoxing Huang, William A. Paxton, Steven M. Wolinsky, Avidan U. Neumann, Linqi Zhang, He Tian, Stanley Kang, Daniel J. Ceradini, Karina Yazdanbakhsh and Kevin Kunstman covering the research area of Virology, Immunology and Infectious Diseases. It is primarily cited by scholars working on Virology (875 citations), Immunology (597 citations) and Infectious Diseases (419 citations). Published in Nature Medicine.

Countries where authors are citing The role of a mutant CCR5 allele in HIV–1 transmission and disease progression

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This map shows the geographic impact of The role of a mutant CCR5 allele in HIV–1 transmission and disease progression. 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 The role of a mutant CCR5 allele in HIV–1 transmission and disease progression with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The role of a mutant CCR5 allele in HIV–1 transmission and disease progression more than expected).

Fields of papers citing The role of a mutant CCR5 allele in HIV–1 transmission and disease progression

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of The role of a mutant CCR5 allele in HIV–1 transmission and disease progression. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The role of a mutant CCR5 allele in HIV–1 transmission and disease progression.

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/nm1196-1240.

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