Eric P. Brown
Impact in
- Virology top 2%
- HIV Research and Treatment
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in ⓘ
-
- Monoclonal and Polyclonal Antibodies Research 9
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- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 4
- Co-authors
- Margaret E. Ackerman (12 shared papers)Galit Alter (7 shared papers)Chris Bailey‐Kellogg (4 shared papers)Karen Dowell (3 shared papers)Austin W. Boesch (3 shared papers)Anastassia Mikhailova (2 shared papers)Todd J. Suscovich (2 shared papers)Bruce D. Walker (2 shared papers)
- Journals
- Journal of Immunological Methods (4 papers)The Journal of Infectious Diseases (2 papers)Biochemical Society Transactions (1 paper)The Journal of Immunology (1 paper)mAbs (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Eric P. Brown
13 papers receiving 711 citations
Peers
Comparison fields: 5 of 54
- Virology 266
- Immunology 421
- Radiology, Nuclear Medicine and Imaging 284
- Infectious Diseases 173
- Epidemiology 192
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 | 2016 | 181 | |
| 2 | 2012 | 124 | |
| 3 | 2017 | 108 | |
| 4 | 2014 | 62 | |
| 5 | 2016 | 41 | |
| 6 | 2014 | 40 | |
| 7 | 2015 | 32 | |
| 8 | 2015 | 31 | |
| 9 | 2018 | 31 | |
| 10 | 2018 | 29 | |
| 11 | 2015 | 16 | |
| 12 | 2015 | 13 | |
| 13 | 1985 | 3 | |
| 14 | 2021 | 0 |
About Eric P. Brown
Eric P. Brown is a scholar working on Radiology, Nuclear Medicine and Imaging, Immunology, Molecular Biology, Virology and Epidemiology, having authored 14 papers that have together received 711 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and B-cell Immunology (6 papers), HIV Research and Treatment (4 papers), Immune Cell Function and Interaction (4 papers), Influenza Virus Research Studies (3 papers), Glycosylation and Glycoproteins Research (3 papers), Respiratory viral infections research (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Virology (266 citations), Immunology (421 citations), Radiology, Nuclear Medicine and Imaging (284 citations), Infectious Diseases (173 citations) and Epidemiology (192 citations). Eric P. Brown has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Margaret E. Ackerman, Galit Alter, Chris Bailey‐Kellogg, Karen Dowell, Austin W. Boesch, Anastassia Mikhailova, Todd J. Suscovich, Bruce D. Walker, Erica Normandin and Ickwon Choi. Their work appears in journals such as Journal of Immunological Methods, The Journal of Infectious Diseases, Biochemical Society Transactions, The Journal of Immunology and mAbs.
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.