High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infection
In The Last Decade
doi.org/10.1086/512088 →Countries where authors are citing High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infection
This map shows the geographic impact of High Rates of Forward Transmission Events after Acute/Early 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 High Rates of Forward Transmission Events after Acute/Early 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 High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infection more than expected).
Fields of papers citing High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infection
This network shows the impact of High Rates of Forward Transmission Events after Acute/Early 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 High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infection.
About High Rates of Forward Transmission Events after Acute/Early HIV‐1 Infection
This paper, published in 2007, received 501 indexed citations . Written by Bluma Brenner, Michel Roger, Jean‐Pierre Routy, Daniela Moïsi, Michel Ntemgwa, Claudine Matte, Jean‐Guy Baril, Réjean Thomas, Danielle Rouleau and Julie Bruneau covering the research area of Virology and Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (446 citations), Virology (371 citations) and Epidemiology (245 citations). Published in The Journal of Infectious Diseases.
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/10.1086/512088.