Stephan Heeb
Impact in
- Genetics top 1%
- Bacterial Genetics and Biotechnology
- Endocrinology top 2%
Papers in
-
- Bacterial biofilms and quorum sensing 40
- Genomics and Phylogenetic Studies 3
- Genetics 18
- Bacterial Genetics and Biotechnology 18
- Co-authors
- Dieter Haas (15 shared papers)Paul M. Williams (29 shared papers)Miguel Cámara (36 shared papers)Caroline Blumer (3 shared papers)Matthew P. Fletcher (6 shared papers)Stephen P. Diggle (4 shared papers)Siri Ram Chhabra (4 shared papers)Gabriella Pessi (3 shared papers)
- Journals
- Environmental Microbiology (8 papers)PLoS Pathogens (4 papers)Environmental Microbiology Reports (4 papers)Molecular Microbiology (3 papers)Journal of Bacteriology (3 papers)
- Partner nations
- United KingdomSwitzerlandSpain
In The Last Decade
Stephan Heeb
63 papers receiving 5.4k citations
Peers
Comparison fields: 5 of 101
- Genetics 1.5k
- Endocrinology 183
- Molecular Biology 2.8k
- Molecular Medicine 210
- Plant Science 1.2k
Countries citing papers authored by Stephan Heeb
This map shows the geographic impact of Stephan Heeb'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 Stephan Heeb with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Heeb more than expected).
Fields of papers citing papers by Stephan Heeb
This network shows the impact of papers produced by Stephan Heeb. 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 Stephan Heeb. The network helps show where Stephan Heeb may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephan Heeb, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 503 | |
| 2 | 2001 | 377 | |
| 3 | 2000 | 321 | |
| 4 | 2002 | 310 | |
| 5 | 1998 | 293 | |
| 6 | 2004 | 240 | |
| 7 | 2011 | 238 | |
| 8 | 1999 | 227 | |
| 9 | 2013 | 224 | |
| 10 | 2009 | 218 | |
| 11 | 2005 | 173 | |
| 12 | 2003 | 169 | |
| 13 | 2011 | 157 | |
| 14 | 2016 | 138 | |
| 15 | 2003 | 129 | |
| 16 | 2015 | 129 | |
| 17 | 2008 | 123 | |
| 18 | 2010 | 121 | |
| 19 | 2004 | 95 | |
| 20 | 2018 | 92 |
About Stephan Heeb
Stephan Heeb is a scholar working on Molecular Biology, Genetics, Plant Science, Pharmacology and Molecular Medicine, having authored 64 papers that have together received 5.5k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (40 papers), Bacterial Genetics and Biotechnology (18 papers), Plant-Microbe Interactions and Immunity (5 papers), Microbial Natural Products and Biosynthesis (3 papers), Plant Pathogenic Bacteria Studies (3 papers), Genomics and Phylogenetic Studies (3 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Genetics (1.5k citations), Endocrinology (183 citations), Molecular Biology (2.8k citations), Molecular Medicine (210 citations) and Plant Science (1.2k citations). Stephan Heeb has collaborated with scholars based in United Kingdom, Switzerland and Spain. Frequent co-authors include Dieter Haas, Paul M. Williams, Miguel Cámara, Caroline Blumer, Matthew P. Fletcher, Stephen P. Diggle, Siri Ram Chhabra, Gabriella Pessi, Christoph Keel and Claudio Valverde. Their work appears in journals such as Environmental Microbiology, PLoS Pathogens, Environmental Microbiology Reports, Molecular Microbiology and Journal of Bacteriology.
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.