Expression cloning of new receptors used by simian and human immunodeficiency viruses
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In The Last Decade
doi.org/10.1038/40894 →Countries where authors are citing Expression cloning of new receptors used by simian and human immunodeficiency viruses
This map shows the geographic impact of Expression cloning of new receptors used by simian and human immunodeficiency viruses. 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 Expression cloning of new receptors used by simian and human immunodeficiency viruses with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Expression cloning of new receptors used by simian and human immunodeficiency viruses more than expected).
Fields of papers citing Expression cloning of new receptors used by simian and human immunodeficiency viruses
This network shows the impact of Expression cloning of new receptors used by simian and human immunodeficiency viruses. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Expression cloning of new receptors used by simian and human immunodeficiency viruses.
About Expression cloning of new receptors used by simian and human immunodeficiency viruses
This paper, published in 1997, received 587 indexed citations . Written by Hongkui Deng, Derya Unutmaz, Vineet N. KewalRamani and Dan R. Littman covering the research area of Virology, Immunology and Infectious Diseases. It is primarily cited by scholars working on Virology (454 citations), Immunology (414 citations) and Infectious Diseases (161 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/10.1038/40894.