Roger Simm
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 13
- Bacillus and Francisella bacterial research 5
- Genetics 16
- Bacterial Genetics and Biotechnology 16
- Co-authors
- Ute Römling (16 shared papers)Abdul Kader (7 shared papers)Michael Morr (5 shared papers)Live L. Nesse (3 shared papers)Lene K. Vestby (1 shared paper)Manfred Nimtz (1 shared paper)Dmitri A. Ryjenkov (1 shared paper)Mark Gomelsky (1 shared paper)
In The Last Decade
Roger Simm
49 papers receiving 3.4k citations
Roger Simm's Hit Papers
Peers
Comparison fields: 5 of 138
- Endocrinology 852
- Molecular Medicine 461
- Microbiology 321
- Periodontics 181
- Genetics 882
Countries citing papers authored by Roger Simm
This map shows the geographic impact of Roger Simm'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 Roger Simm with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roger Simm more than expected).
Fields of papers citing papers by Roger Simm
This network shows the impact of papers produced by Roger Simm. 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 Roger Simm. The network helps show where Roger Simm may publish in the future.
Co-authors
The 25 scholars most cited alongside Roger Simm, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GGDEF and EAL domains inversely regulate cyclic di‐GMP levels and transition from sessility to motility Hit paper breakdown → | 2004 | 780 |
| 2 | Bacterial Biofilm and its Role in the Pathogenesis of Disease Hit paper breakdown → | 2020 | 770 |
| 3 | 2006 | 387 | |
| 4 | 2006 | 163 | |
| 5 | 2012 | 149 | |
| 6 | 2008 | 139 | |
| 7 | 2007 | 90 | |
| 8 | 2007 | 80 | |
| 9 | 2014 | 78 | |
| 10 | 2005 | 73 | |
| 11 | 2005 | 65 | |
| 12 | 2009 | 63 | |
| 13 | 2008 | 63 | |
| 14 | 2009 | 55 | |
| 15 | 2009 | 45 | |
| 16 | 2013 | 38 | |
| 17 | 2017 | 34 | |
| 18 | 2018 | 29 | |
| 19 | 2014 | 25 | |
| 20 | 2022 | 22 |
About Roger Simm
Roger Simm is a scholar working on Molecular Biology, Genetics, Endocrinology, Molecular Medicine and Ecology, having authored 52 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (16 papers), Bacterial biofilms and quorum sensing (13 papers), Antibiotic Resistance in Bacteria (10 papers), Vibrio bacteria research studies (8 papers), Bacteriophages and microbial interactions (7 papers), Escherichia coli research studies (6 papers), Bacillus and Francisella bacterial research (5 papers) and Pharmaceutical and Antibiotic Environmental Impacts (4 papers). The work is most often cited by research in Endocrinology (852 citations), Molecular Medicine (461 citations), Microbiology (321 citations), Periodontics (181 citations) and Genetics (882 citations). Roger Simm has collaborated with scholars based in Norway, Sweden and Germany. Frequent co-authors include Ute Römling, Abdul Kader, Michael Morr, Live L. Nesse, Lene K. Vestby, Manfred Nimtz, Dmitri A. Ryjenkov, Mark Gomelsky, Kirsten Sandvig and Tore Skotland. Their work appears in journals such as PLoS ONE, Frontiers in Microbiology, Environmental Microbiology, 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.