Marc Schaffer
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
-
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Photosynthetic Processes and Mechanisms
- Bacterial biofilms and quorum sensing
- Microbial Metabolic Engineering and Bioproduction
Papers in
- Genetics 11
- Bacterial Genetics and Biotechnology 11
-
- RNA and protein synthesis mechanisms 5
- Bacterial biofilms and quorum sensing 3
- Gene Regulatory Network Analysis 2
- Co-authors
- Ulrike Mäder (12 shared papers)Dörte Becher (5 shared papers)Michael Hecker (4 shared papers)Jörg Bernhardt (3 shared papers)Andreas Otto (3 shared papers)Hanna Meyer (1 shared paper)Florian‐Alexander Herbst (1 shared paper)Michael Lalk (2 shared papers)
- Journals
- Nucleic Acids Research (2 papers)Molecular Systems Biology (1 paper)International Journal of Medical Microbiology (1 paper)PLoS ONE (1 paper)Environmental Microbiology (1 paper)
- Partner nations
- GermanyNetherlandsUnited States
In The Last Decade
Marc Schaffer
14 papers receiving 516 citations
Peers
Comparison fields: 5 of 69
- Genetics 197
- Molecular Biology 391
- Ecology 132
- Endocrinology 17
- Biotechnology 26
Countries citing papers authored by Marc Schaffer
This map shows the geographic impact of Marc Schaffer'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 Marc Schaffer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Schaffer more than expected).
Fields of papers citing papers by Marc Schaffer
This network shows the impact of papers produced by Marc Schaffer. 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 Marc Schaffer. The network helps show where Marc Schaffer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Schaffer, 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 | 2010 | 147 | |
| 2 | 2011 | 82 | |
| 3 | 1986 | 79 | |
| 4 | 2016 | 51 | |
| 5 | 2015 | 45 | |
| 6 | 2011 | 36 | |
| 7 | 2019 | 26 | |
| 8 | 2017 | 21 | |
| 9 | 2020 | 9 | |
| 10 | 2020 | 9 | |
| 11 | 2016 | 9 | |
| 12 | 2024 | 5 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 1 |
About Marc Schaffer
Marc Schaffer is a scholar working on Genetics, Molecular Biology, Ecology, Infectious Diseases and Materials Chemistry, having authored 14 papers that have together received 523 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (11 papers), RNA and protein synthesis mechanisms (5 papers), Bacteriophages and microbial interactions (4 papers), Bacterial biofilms and quorum sensing (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Enzyme Structure and Function (2 papers), Gene Regulatory Network Analysis (2 papers) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Genetics (197 citations), Molecular Biology (391 citations), Ecology (132 citations), Endocrinology (17 citations) and Biotechnology (26 citations). Marc Schaffer has collaborated with scholars based in Germany, Netherlands and United States. Frequent co-authors include Ulrike Mäder, Dörte Becher, Michael Hecker, Jörg Bernhardt, Andreas Otto, Hanna Meyer, Florian‐Alexander Herbst, Michael Lalk, Juliane Siebourg‐Polster and Martin Lehnik‐Habrink. Their work appears in journals such as Nucleic Acids Research, Molecular Systems Biology, International Journal of Medical Microbiology, PLoS ONE and Environmental 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.