Eric P. Brown
Impact in
- Virology top 0.5%
- HIV Research and Treatment
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
Papers in
- Virology 12
- HIV Research and Treatment 12
-
- Monoclonal and Polyclonal Antibodies Research 6
- Co-authors
- Margaret E. Ackerman (12 shared papers)Galit Alter (7 shared papers)Chris Bailey‐Kellogg (4 shared papers)Karen G. Dowell (3 shared papers)Austin W. Boesch (3 shared papers)Erica Normandin (4 shared papers)Anastassia Mikhailova (2 shared papers)Todd J. Suscovich (2 shared papers)
- Journals
- Journal of Immunological Methods (4 papers)Nature Medicine (2 papers)PLoS Pathogens (2 papers)Molecular Systems Biology (2 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- United StatesGermanyThailand
In The Last Decade
Eric P. Brown
18 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 56
- Virology 983
- Infectious Diseases 294
- Radiology, Nuclear Medicine and Imaging 249
- Computational Mathematics 6
- Immunology 162
Countries citing papers authored by Eric P. Brown
This map shows the geographic impact of Eric P. 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 Eric P. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric P. Brown more than expected).
Fields of papers citing papers by Eric P. Brown
This network shows the impact of papers produced by Eric P. 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 Eric P. Brown. The network helps show where Eric P. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric P. 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 | 2014 | 349 | |
| 2 | 2015 | 264 | |
| 3 | 2016 | 214 | |
| 4 | 2012 | 191 | |
| 5 | 2016 | 175 | |
| 6 | 2017 | 155 | |
| 7 | 2018 | 115 | |
| 8 | 2014 | 77 | |
| 9 | 2014 | 44 | |
| 10 | 2018 | 41 | |
| 11 | 2016 | 40 | |
| 12 | 2018 | 37 | |
| 13 | 2015 | 36 | |
| 14 | 2015 | 35 | |
| 15 | 2020 | 24 | |
| 16 | 2019 | 19 | |
| 17 | 2015 | 18 | |
| 18 | 2015 | 18 | |
| 19 | 2021 | 0 |
About Eric P. Brown
Eric P. Brown is a scholar working on Virology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Molecular Biology and Immunology, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include HIV Research and Treatment (12 papers), Monoclonal and Polyclonal Antibodies Research (6 papers), Influenza Virus Research Studies (2 papers), Advanced Biosensing Techniques and Applications (2 papers), T-cell and B-cell Immunology (1 paper) and vaccines and immunoinformatics approaches (1 paper). The work is most often cited by research in Virology (983 citations), Infectious Diseases (294 citations), Radiology, Nuclear Medicine and Imaging (249 citations), Computational Mathematics (6 citations) and Immunology (162 citations). Eric P. Brown has collaborated with scholars based in United States, Germany and Thailand. Frequent co-authors include Margaret E. Ackerman, Galit Alter, Chris Bailey‐Kellogg, Karen G. Dowell, Austin W. Boesch, Erica Normandin, Anastassia Mikhailova, Todd J. Suscovich, Bruce D. Walker and Anna F. Licht. Their work appears in journals such as Journal of Immunological Methods, Nature Medicine, PLoS Pathogens, Molecular Systems Biology and The Journal of 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.