Armand Brown
Impact in
- Microbiology top 10%
- Antimicrobial Peptides and Activities
-
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Infective Endocarditis Diagnosis and Management 3
- Pneumonia and Respiratory Infections 3
- Data-Driven Disease Surveillance 2
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- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Grace Soong (2 shared papers)Sarah Wachtel (2 shared papers)Alice Prince (2 shared papers)Carlos J. Orihuela (4 shared papers)Matthew Wickersham (2 shared papers)Dane Parker (2 shared papers)Elizabeth R. C. Millett (1 shared paper)Jennifer K Quint (1 shared paper)
- Journals
- mBio (2 papers)Journal of Visualized Experiments (2 papers)Scientific Reports (1 paper)PLoS Pathogens (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesUnited KingdomChile
In The Last Decade
Armand Brown
12 papers receiving 351 citations
Peers
Comparison fields: 5 of 73
- Microbiology 50
- Infectious Diseases 99
- Immunology 95
- Epidemiology 103
- Molecular Biology 173
Countries citing papers authored by Armand Brown
This map shows the geographic impact of Armand 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 Armand Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Armand Brown more than expected).
Fields of papers citing papers by Armand Brown
This network shows the impact of papers produced by Armand 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 Armand Brown. The network helps show where Armand Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Armand 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 | 2016 | 144 | |
| 2 | 2015 | 79 | |
| 3 | 2015 | 60 | |
| 4 | 2019 | 34 | |
| 5 | 2020 | 19 | |
| 6 | 2015 | 9 | |
| 7 | 2020 | 4 | |
| 8 | 2014 | 2 | |
| 9 | 2024 | 1 | |
| 10 | 2025 | 1 | |
| 11 | 2024 | 1 | |
| 12 | 2015 | 1 | |
| 13 | 2023 | 0 |
About Armand Brown
Armand Brown is a scholar working on Epidemiology, Infectious Diseases, Public Health, Environmental and Occupational Health, Molecular Biology and Modeling and Simulation, having authored 13 papers that have together received 355 indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (4 papers), Infective Endocarditis Diagnosis and Management (3 papers), Pneumonia and Respiratory Infections (3 papers), COVID-19 epidemiological studies (3 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Inflammasome and immune disorders (2 papers), Data-Driven Disease Surveillance (2 papers) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Microbiology (50 citations), Infectious Diseases (99 citations), Immunology (95 citations), Epidemiology (103 citations) and Molecular Biology (173 citations). Armand Brown has collaborated with scholars based in United States, United Kingdom and Chile. Frequent co-authors include Grace Soong, Sarah Wachtel, Alice Prince, Carlos J. Orihuela, Matthew Wickersham, Dane Parker, Elizabeth R. C. Millett, Jennifer K Quint, Susan M. Bueno and Hernán F. Peñaloza. Their work appears in journals such as mBio, Journal of Visualized Experiments, Scientific Reports, PLoS Pathogens and Cell Reports.
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.