Peter Saß
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Microbiology top 2%
- Antimicrobial Peptides and Activities
Papers in
-
- RNA and protein synthesis mechanisms 7
- Bacterial biofilms and quorum sensing 6
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- Antimicrobial Resistance in Staphylococcus 10
- Co-authors
- Heike Brötz‐Oesterhelt (15 shared papers)Gabriele Bierbaum (8 shared papers)Hans‐Georg Sahl (4 shared papers)Christian T. Mayer (5 shared papers)Imran T. Malik (5 shared papers)Michaele Josten (1 shared paper)Leendert W. Hamoen (1 shared paper)Guido Schiffer (1 shared paper)
- Journals
- International Journal of Medical Microbiology (6 papers)mBio (3 papers)Future Microbiology (2 papers)Applied and Environmental Microbiology (2 papers)Cellular Microbiology (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Peter Saß
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 101
- Molecular Medicine 200
- Microbiology 244
- Infectious Diseases 268
- Ecology 298
- Molecular Biology 801
Countries citing papers authored by Peter Saß
This map shows the geographic impact of Peter Saß'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 Peter Saß with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Saß more than expected).
Fields of papers citing papers by Peter Saß
This network shows the impact of papers produced by Peter Saß. 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 Peter Saß. The network helps show where Peter Saß may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter Saß, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 178 | |
| 2 | 2011 | 147 | |
| 3 | 2015 | 106 | |
| 4 | 2010 | 72 | |
| 5 | 2013 | 71 | |
| 6 | 2016 | 69 | |
| 7 | 2013 | 68 | |
| 8 | 2013 | 67 | |
| 9 | 2016 | 60 | |
| 10 | 2020 | 57 | |
| 11 | 2008 | 56 | |
| 12 | 2009 | 33 | |
| 13 | 2019 | 31 | |
| 14 | 2020 | 29 | |
| 15 | 2019 | 27 | |
| 16 | 2012 | 25 | |
| 17 | 2019 | 25 | |
| 18 | 2019 | 23 | |
| 19 | 2012 | 23 | |
| 20 | 2020 | 19 |
About Peter Saß
Peter Saß is a scholar working on Molecular Biology, Infectious Diseases, Pharmacology, Genetics and Molecular Medicine, having authored 41 papers that have together received 1.3k indexed citations. Recurring topics across this work include Microbial Natural Products and Biosynthesis (11 papers), Bacterial Genetics and Biotechnology (11 papers), Antibiotic Resistance in Bacteria (10 papers), Antimicrobial Resistance in Staphylococcus (10 papers), RNA and protein synthesis mechanisms (7 papers), Bacterial biofilms and quorum sensing (6 papers), Bacteriophages and microbial interactions (6 papers) and Antimicrobial Peptides and Activities (5 papers). The work is most often cited by research in Molecular Medicine (200 citations), Microbiology (244 citations), Infectious Diseases (268 citations), Ecology (298 citations) and Molecular Biology (801 citations). Peter Saß has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Heike Brötz‐Oesterhelt, Gabriele Bierbaum, Hans‐Georg Sahl, Christian T. Mayer, Imran T. Malik, Michaele Josten, Leendert W. Hamoen, Guido Schiffer, Christiane Szekat and Andrea Jansen. Their work appears in journals such as International Journal of Medical Microbiology, mBio, Future Microbiology, Applied and Environmental Microbiology and Cellular 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.