Eric L. Bruger
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Microbiology top 10%
Papers in
-
- Bacterial biofilms and quorum sensing 7
- Microbial Metabolic Engineering and Bioproduction 3
- Gut microbiota and health 2
- Genetics 7
- Evolution and Genetic Dynamics 5
- Co-authors
- Christopher M. Waters (14 shared papers)Vaughn S. Cooper (3 shared papers)Christopher J. Marx (4 shared papers)Daniel J. Snyder (2 shared papers)Derek E. Moormeier (1 shared paper)Tyler D. Scherr (1 shared paper)Clay Fuqua (3 shared papers)Tammy Kielian (1 shared paper)
- Journals
- Applied and Environmental Microbiology (3 papers)Journal of Bacteriology (3 papers)The ISME Journal (2 papers)Journal of Evolutionary Biology (1 paper)PLoS ONE (1 paper)
- Partner nations
- United StatesCanadaPortugal
In The Last Decade
Eric L. Bruger
22 papers receiving 456 citations
Peers
Comparison fields: 5 of 82
- Endocrinology 87
- Microbiology 39
- Molecular Medicine 25
- Molecular Biology 269
- Genetics 93
Countries citing papers authored by Eric L. Bruger
This map shows the geographic impact of Eric L. Bruger'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 L. Bruger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric L. Bruger more than expected).
Fields of papers citing papers by Eric L. Bruger
This network shows the impact of papers produced by Eric L. Bruger. 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 L. Bruger. The network helps show where Eric L. Bruger may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric L. Bruger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 67 | |
| 2 | 2016 | 57 | |
| 3 | 2015 | 49 | |
| 4 | 2017 | 33 | |
| 5 | 2016 | 30 | |
| 6 | 2020 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2016 | 23 | |
| 9 | 2018 | 22 | |
| 10 | 2018 | 18 | |
| 11 | 2016 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2015 | 14 | |
| 14 | 2021 | 13 | |
| 15 | 2017 | 12 | |
| 16 | 2021 | 11 | |
| 17 | 2016 | 11 | |
| 18 | 2019 | 7 | |
| 19 | 2013 | 5 | |
| 20 | 2025 | 1 |
About Eric L. Bruger
Eric L. Bruger is a scholar working on Molecular Biology, Genetics, Sociology and Political Science, Endocrinology and Ecology, Evolution, Behavior and Systematics, having authored 22 papers that have together received 458 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (7 papers), Evolution and Genetic Dynamics (5 papers), Evolutionary Game Theory and Cooperation (5 papers), Vibrio bacteria research studies (4 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Algal biology and biofuel production (2 papers), interferon and immune responses (2 papers) and Gut microbiota and health (2 papers). The work is most often cited by research in Endocrinology (87 citations), Microbiology (39 citations), Molecular Medicine (25 citations), Molecular Biology (269 citations) and Genetics (93 citations). Eric L. Bruger has collaborated with scholars based in United States, Canada and Portugal. Frequent co-authors include Christopher M. Waters, Vaughn S. Cooper, Christopher J. Marx, Daniel J. Snyder, Derek E. Moormeier, Tyler D. Scherr, Clay Fuqua, Tammy Kielian, Casey M. Gries and Benjamin J. Koestler. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology, The ISME Journal, Journal of Evolutionary Biology and PLoS ONE.
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.