Dannae Brown

462 citations
8 papers · 162 · h-index 6

Impact in

  • Virology top 10%
    • HIV Research and Treatment
    • 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 1
    • Tuberculosis Research and Epidemiology 1
    • HIV Research and Treatment 3

Dannae Brown

8 papers receiving 159 citations

Peers

Dannae Brown
Comparison fields: 5 of 15
  • Virology 50
  • Infectious Diseases 144
  • Emergency Medicine 18
  • Epidemiology 15
  • Transplantation 1
Replace Natasja van Holten with:
Natasja van Holten Netherlands
Godson Oguchi United States
Shalton Mwaringa United Kingdom
Arvind Kaimal Uganda
Kenneth Sutton United States
Lizette Santiago United States
Pra-ornsuda Sukrakanchana United States
Linda J Harrison United States
Johannes Lombaard Thailand
Ndèye Méry Dia Badiane Senegal
Dannae Brown relative to Natasja van Holten Netherlands Natasja van Holten's profile →
Citations per field
00.5×1.5×2.3×
Natasja van Holten · 1×
Citations per year

Countries citing papers authored by Dannae Brown

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Dannae Brown Line = papers co-authored together Dannae Brown links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2019107
2 201816
3 201813
4 20159
5 20178
6 20195
7 20223
8 20181

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 162 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (8 papers), HIV Research and Treatment (3 papers), HIV-related health complications and treatments (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Hepatitis C virus research (1 paper), HIV/AIDS Research and Interventions (1 paper) and Tuberculosis Research and Epidemiology (1 paper). The work is most often cited by research in Virology (50 citations), Infectious Diseases (144 citations), Emergency Medicine (18 citations), Epidemiology (15 citations) and Transplantation (1 citation). Dannae Brown has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Mark Underwood, Michael Aboud, Marcelo Losso, Jörg Sievers, Carlos Brites, José A. Hidalgo, Ploenchan Chetchotisakd, Martin Gartland, Johannes Lombaard and Richard Kaplan. Their work appears in journals such as Antiviral Therapy, International Journal of STD & AIDS, Journal of Infection and Public Health, AIDS Research and Human Retroviruses and The Lancet 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.

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