Benita Yip
- Infectious Diseases top 0.1%
- Virology top 0.1%
- Epidemiology top 0.5%
- Emergency Medicine top 0.2%
- General Health Professions top 2%
- Co-authors
- Robert S. HoggJulio MontanerEvan WoodP. Richard HarriganMichael V. O’ShaughnessyViviane D. LimaDavid R. BangsbergJoan Montaner
- Topics
- HIV/AIDS Research and Interventions (93 papers)HIV/AIDS drug development and treatment (88 papers)HIV Research and Treatment (72 papers)
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Benita Yip
110 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Infectious Diseases 6.0k
- Virology 3.4k
- Epidemiology 2.5k
- Emergency Medicine 1.3k
- General Health Professions 658
Countries citing papers authored by Benita Yip
This map shows the geographic impact of Benita Yip's research. 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 Benita Yip with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benita Yip more than expected).
Fields of papers citing papers by Benita Yip
This network shows the impact of papers produced by Benita Yip. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Benita Yip. The network helps show where Benita Yip may publish in the future.
Co-authorship network of co-authors of Benita Yip
This figure shows the co-authorship network connecting the top 25 collaborators of Benita Yip. A scholar is included among the top collaborators of Benita Yip based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Benita Yip. Benita Yip is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 15 | |
| 4 | Association of highly active antiretroviral therapy coverage, population viral load, and yearly new HIV diagnoses in British Columbia, Canada: a population-based studybreakdown → | 583 |
| 5 | 240 | |
| 6 | 15 | |
| 7 | 223 | |
| 8 | 29 | |
| 9 | 143 | |
| 10 | 161 | |
| 11 | 56 | |
| 12 | 41 | |
| 13 | 44 | |
| 14 | 67 | |
| 15 | Adherence and plasma HIV RNA responses to highly active antiretroviral therapy among HIV-1 infected injection drug users. | 193 |
| 16 | 113 | |
| 17 | 4 | |
| 18 | 49 | |
| 19 | 86 | |
| 20 | 85 |
About Benita Yip
Benita Yip is a scholar working on Virology, Infectious Diseases and Emergency Medicine, having authored 110 papers that have together received 6.6k indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (93 papers), HIV/AIDS drug development and treatment (88 papers) and HIV Research and Treatment (72 papers). The work is most often cited by research in Virology (3.4k citations), Infectious Diseases (6.0k citations) and Emergency Medicine (1.3k citations). Benita Yip has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Robert S. Hogg, Julio Montaner, Evan Wood, P. Richard Harrigan, Michael V. O’Shaughnessy, Viviane D. Lima, David R. Bangsberg, Joan Montaner, Martin T. Schechter and Rolando Barrios. Their work appears in journals such as The Lancet, Annals of Internal Medicine and PLoS ONE.
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.