E. G. Brown
Impact in
- Epidemiology top 5%
- Influenza Virus Research Studies
- Respiratory viral infections research
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology
Papers in
- Epidemiology 11
- Influenza Virus Research Studies 8
- Respiratory viral infections research 5
- Virology and Viral Diseases 2
-
- Viral gastroenteritis research and epidemiology 8
- Co-authors
- Zou S (5 shared papers)Sonya M. Baird (1 shared paper)Kathryn E. Wright (2 shared papers)Kenneth Dimock (1 shared paper)Linqing Liu (1 shared paper)Juan Pu (1 shared paper)Yingju Xia (1 shared paper)Qi Xu (1 shared paper)
- Journals
- Journal of Virology (4 papers)Virology (3 papers)Virus Research (2 papers)The Journal of Infectious Diseases (1 paper)Reviews in Medical Virology (1 paper)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
E. G. Brown
17 papers receiving 889 citations
Peers
Comparison fields: 5 of 49
- Epidemiology 664
- Infectious Diseases 323
- Agronomy and Crop Science 187
- Immunology 210
- Animal Science and Zoology 101
Countries citing papers authored by E. G. Brown
This map shows the geographic impact of E. G. 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 E. G. Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. G. Brown more than expected).
Fields of papers citing papers by E. G. Brown
This network shows the impact of papers produced by E. G. 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 E. G. Brown. The network helps show where E. G. Brown may publish in the future.
Co-authors
The 25 scholars most cited alongside E. G. 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 | 2001 | 160 | |
| 2 | 2010 | 133 | |
| 3 | 2012 | 94 | |
| 4 | 1990 | 90 | |
| 5 | 2000 | 78 | |
| 6 | 1994 | 78 | |
| 7 | 1996 | 46 | |
| 8 | 2000 | 44 | |
| 9 | 1992 | 35 | |
| 10 | 1998 | 28 | |
| 11 | 1992 | 28 | |
| 12 | 2007 | 23 | |
| 13 | 1996 | 22 | |
| 14 | 1998 | 19 | |
| 15 | 1996 | 12 | |
| 16 | 1992 | 8 | |
| 17 | 1982 | 4 |
About E. G. Brown
E. G. Brown is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Genetics and Immunology, having authored 17 papers that have together received 902 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (8 papers), Influenza Virus Research Studies (8 papers), Respiratory viral infections research (5 papers), RNA and protein synthesis mechanisms (4 papers), Virus-based gene therapy research (4 papers), interferon and immune responses (3 papers), Virology and Viral Diseases (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Epidemiology (664 citations), Infectious Diseases (323 citations), Agronomy and Crop Science (187 citations), Immunology (210 citations) and Animal Science and Zoology (101 citations). E. G. Brown has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Zou S, Sonya M. Baird, Kathryn E. Wright, Kenneth Dimock, Linqing Liu, Juan Pu, Yingju Xia, Qi Xu, Fulin Tian and Jinhua Liu. Their work appears in journals such as Journal of Virology, Virology, Virus Research, The Journal of Infectious Diseases and Reviews in Medical Virology.
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.