E. Peter Greenberg
Impact in
- Endocrinology top 0.01%
- Vibrio bacteria research studies
- Molecular Medicine top 0.01%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 37
-
- Antibiotic Resistance in Bacteria 20
- Co-authors
- Philip S. StewartJ. William CostertonMatthew R. ParsekClay FuquaStephen C. WinansMartín SchusterBarbara H. IglewskiJames P. Pearson
- Journals
- Journal of Bacteriology (79 papers)Proceedings of the National Academy of Sciences (36 papers)mBio (10 papers)Applied and Environmental Microbiology (8 papers)Molecular Microbiology (8 papers)
- Partner nations
- United StatesCanadaChina
In The Last Decade
E. Peter Greenberg
223 papers receiving 45.8k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Endocrinology 8.3k
- Molecular Medicine 6.5k
- Microbiology 5.4k
- Periodontics 3.4k
- Molecular Biology 34.2k
Countries citing papers authored by E. Peter Greenberg
This map shows the geographic impact of E. Peter Greenberg'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. Peter Greenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Peter Greenberg more than expected).
Fields of papers citing papers by E. Peter Greenberg
This network shows the impact of papers produced by E. Peter Greenberg. 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. Peter Greenberg. The network helps show where E. Peter Greenberg may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Peter Greenberg, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 19 | |
| 6 | The use of signal molecules to manipulate the behavior of biofilm bacteria | 2017 | 0 |
| 7 | 2016 | 24 | |
| 8 | 2015 | 173 | |
| 9 | 2015 | 27 | |
| 10 | 2012 | 245 | |
| 11 | 2011 | 79 | |
| 12 | 2010 | 48 | |
| 13 | 2008 | 152 | |
| 14 | 2008 | 210 | |
| 15 | 2004 | 256 | |
| 16 | 2004 | 136 | |
| 17 | 2004 | 219 | |
| 18 | 2003 | 75 | |
| 19 | 2002 | 120 | |
| 20 | 2001 | 122 |
About E. Peter Greenberg
E. Peter Greenberg is a scholar working on Endocrinology, Molecular Medicine, Genetics, Microbiology and Molecular Biology, having authored 228 papers that have together received 47.1k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (141 papers), Bacterial Genetics and Biotechnology (106 papers), Vibrio bacteria research studies (37 papers), bioluminescence and chemiluminescence research (25 papers), Antibiotic Resistance in Bacteria (20 papers), Bacteriophages and microbial interactions (18 papers), Antimicrobial Peptides and Activities (17 papers) and Photoreceptor and optogenetics research (16 papers). The work is most often cited by research in Endocrinology (8.3k citations), Molecular Medicine (6.5k citations), Microbiology (5.4k citations), Periodontics (3.4k citations) and Molecular Biology (34.2k citations). E. Peter Greenberg has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Philip S. Stewart, J. William Costerton, Matthew R. Parsek, Clay Fuqua, Stephen C. Winans, Martín Schuster, Barbara H. Iglewski, James P. Pearson, Michael J. Welsh and W. Claiborne Fuqua. Their work appears in journals such as Journal of Bacteriology, Proceedings of the National Academy of Sciences, mBio, Applied and Environmental Microbiology and Molecular Microbiology.
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.