South African National HIV Prevalence, Incidence and Behaviour Survey, 2012
In The Last Decade
doi.org/w64160155 →Countries where authors are citing South African National HIV Prevalence, Incidence and Behaviour Survey, 2012
This map shows the geographic impact of South African National HIV Prevalence, Incidence and Behaviour Survey, 2012. 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 South African National HIV Prevalence, Incidence and Behaviour Survey, 2012 with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites South African National HIV Prevalence, Incidence and Behaviour Survey, 2012 more than expected).
Fields of papers citing South African National HIV Prevalence, Incidence and Behaviour Survey, 2012
This network shows the impact of South African National HIV Prevalence, Incidence and Behaviour Survey, 2012. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the South African National HIV Prevalence, Incidence and Behaviour Survey, 2012.
About South African National HIV Prevalence, Incidence and Behaviour Survey, 2012
This paper, published in 2014, received 987 indexed citations . Written by Olive Shisana, T. Rehle, Leickness C. Simbayi, Khangelani Zuma, Sean Jooste, Nompumelelo Zungu, Demetre Labadarios and Dorina Onoya covering the research area of General Health Professions, Economics and Econometrics and Infectious Diseases. It is primarily cited by scholars working on Infectious Diseases (606 citations), General Health Professions (567 citations) and Epidemiology (324 citations).
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/w64160155.