Eric D. Brown
- Molecular Medicine top 0.05%
- Antibiotic Resistance in Bacteria 47
- Microbiology top 0.2%
- Molecular Biology top 0.5%
- RNA and protein synthesis mechanisms 44
- Bacterial biofilms and quorum sensing 20
- Glycosylation and Glycoproteins Research 15
- Pharmacology top 0.5%
- Microbial Natural Products and Biosynthesis 32
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- Bacterial Genetics and Biotechnology 79
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- Bacteriophages and microbial interactions 34
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- Enzyme Structure and Function 17
- Co-authors
- Gerard D. WrightMaya A. FarhaShawn FrenchCraig R. MacNairJonathan StokesAmit P. BhavsarMichael A. D’EliaBrian K. Coombes
- Journals
- Journal of Bacteriology (14 papers)Journal of Biological Chemistry (11 papers)ACS Infectious Diseases (11 papers)
- Partner nations
- CanadaUnited StatesFrance
In The Last Decade
Eric D. Brown
207 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Molecular Medicine 2.5k
- Microbiology 1.3k
- Applied Microbiology and Biotechnology 244
- Molecular Biology 6.9k
- Pharmacology 1.6k
Countries citing papers authored by Eric D. Brown
This map shows the geographic impact of Eric D. 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 D. 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 D. Brown more than expected).
Fields of papers citing papers by Eric D. Brown
This network shows the impact of papers produced by Eric D. 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 D. Brown. The network helps show where Eric D. Brown may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eric D. 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 48 | |
| 6 | 2022 | 14 | |
| 7 | 2022 | 22 | |
| 8 | 2019 | 63 | |
| 9 | 2017 | 22 | |
| 10 | 2016 | 68 | |
| 11 | 2016 | 53 | |
| 12 | 2013 | 36 | |
| 13 | 2012 | 29 | |
| 14 | 2011 | 46 | |
| 15 | 2010 | 14 | |
| 16 | 2009 | 47 | |
| 17 | 2006 | 45 | |
| 18 | 2006 | 161 | |
| 19 | 2004 | 83 | |
| 20 | 2004 | 74 |
About Eric D. Brown
Eric D. Brown is a scholar working on Molecular Medicine, Genetics, Molecular Biology, Pharmacology and Microbiology, having authored 215 papers that have together received 12.2k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (79 papers), Antibiotic Resistance in Bacteria (47 papers), RNA and protein synthesis mechanisms (44 papers), Bacteriophages and microbial interactions (34 papers), Microbial Natural Products and Biosynthesis (32 papers), Bacterial biofilms and quorum sensing (20 papers), Enzyme Structure and Function (17 papers) and Glycosylation and Glycoproteins Research (15 papers). The work is most often cited by research in Molecular Medicine (2.5k citations), Microbiology (1.3k citations), Applied Microbiology and Biotechnology (244 citations), Molecular Biology (6.9k citations) and Pharmacology (1.6k citations). Eric D. Brown has collaborated with scholars based in Canada, United States and France. Frequent co-authors include Gerard D. Wright, Maya A. Farha, Shawn French, Craig R. MacNair, Jonathan Stokes, Amit P. Bhavsar, Michael A. D’Elia, Brian K. Coombes, Lindsey A. Carfrae and Denis M. Daigle. Their work appears in journals such as Journal of Bacteriology, Journal of Biological Chemistry, ACS Infectious Diseases, Nature Chemical Biology and Biochemistry.
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.