The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif
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- Nature Medicine
In The Last Decade
doi.org/10.1038/nm945 →Countries where authors are citing The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif
This map shows the geographic impact of The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif. 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 antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif more than expected).
Fields of papers citing The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif
This network shows the impact of The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif.
About The antiretroviral enzyme APOBEC3G is degraded by the proteasome in response to HIV-1 Vif
This paper, published in 2003, received 787 indexed citations . Written by Ann M. Sheehy, Nathan Gaddis and Michael H. Malim covering the research area of Virology, Epidemiology and Infectious Diseases. It is primarily cited by scholars working on Virology (684 citations), Infectious Diseases (379 citations) and Immunology (291 citations). Published in Nature Medicine.
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/nm945.