The trans-activator gene of HTLV-III is essential for virus replication
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- Nature
In The Last Decade
doi.org/10.1038/320367a0 →Countries where authors are citing The trans-activator gene of HTLV-III is essential for virus replication
This map shows the geographic impact of The trans-activator gene of HTLV-III is essential for virus replication. 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 trans-activator gene of HTLV-III is essential for virus replication with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The trans-activator gene of HTLV-III is essential for virus replication more than expected).
Fields of papers citing The trans-activator gene of HTLV-III is essential for virus replication
This network shows the impact of The trans-activator gene of HTLV-III is essential for virus replication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The trans-activator gene of HTLV-III is essential for virus replication.
About The trans-activator gene of HTLV-III is essential for virus replication
This paper, published in 1986, received 539 indexed citations . Written by Amanda G. Fisher, Steven F. Josephs, Mary‐Ellen Harper, Lisa M. Marselle, Gregory R. Reyes, Matthew A. Gonda, Anna Aldovini, Richard L. Gallo and F Wong-Staal covering the research area of Immunology, Cardiology and Cardiovascular Medicine and Agronomy and Crop Science. It is primarily cited by scholars working on Virology (415 citations), Molecular Biology (239 citations) and Infectious Diseases (179 citations). Published in Nature.
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/10.1038/320367a0.