Dannae Brown
Impact in
- Virology top 5%
- HIV Research and Treatment
- Infectious Diseases top 10%
- HIV/AIDS drug development and treatment
- HIV/AIDS Research and Interventions
Papers in
-
- HIV/AIDS drug development and treatment 8
- HIV/AIDS Research and Interventions 2
- Tuberculosis Research and Epidemiology 1
- Virology 5
- HIV Research and Treatment 5
- Co-authors
- Mark Underwood (5 shared papers)Michael Aboud (6 shared papers)Richard Kaplan (4 shared papers)Marcelo Losso (3 shared papers)Jörg Sievers (3 shared papers)Carlos Brites (3 shared papers)Yogesh Punekar (1 shared paper)Martin Gartland (2 shared papers)
- Journals
- Antiviral Therapy (2 papers)AIDS Research and Human Retroviruses (1 paper)International Journal of STD & AIDS (1 paper)The Lancet Infectious Diseases (1 paper)Journal of Infection and Public Health (1 paper)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Dannae Brown
8 papers receiving 156 citations
Peers
Comparison fields: 5 of 19
- Virology 118
- Infectious Diseases 152
- Emergency Medicine 26
- Epidemiology 32
- Hepatology 7
Countries citing papers authored by Dannae Brown
This map shows the geographic impact of Dannae Brown'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 Dannae Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dannae Brown more than expected).
Fields of papers citing papers by Dannae Brown
This network shows the impact of papers produced by Dannae Brown. 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 Dannae Brown. The network helps show where Dannae Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Dannae Brown, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 104 | |
| 2 | 2018 | 16 | |
| 3 | 2018 | 13 | |
| 4 | 2015 | 9 | |
| 5 | 2017 | 7 | |
| 6 | 2019 | 5 | |
| 7 | 2022 | 3 | |
| 8 | 2018 | 1 |
About Dannae Brown
Dannae Brown is a scholar working on Infectious Diseases, Virology, Emergency Medicine, Epidemiology and Hepatology, having authored 8 papers that have together received 158 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), HIV Research and Treatment (5 papers), HIV-related health complications and treatments (4 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), HIV/AIDS Research and Interventions (2 papers), Hepatitis C virus research (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Virology (118 citations), Infectious Diseases (152 citations), Emergency Medicine (26 citations), Epidemiology (32 citations) and Hepatology (7 citations). Dannae Brown has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Mark Underwood, Michael Aboud, Richard Kaplan, Marcelo Losso, Jörg Sievers, Carlos Brites, Yogesh Punekar, Martin Gartland, Fujie Zhang and Kimberly Y. Smith. Their work appears in journals such as Antiviral Therapy, AIDS Research and Human Retroviruses, International Journal of STD & AIDS, The Lancet Infectious Diseases and Journal of Infection and Public Health.
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.