Marc Schaffer
Impact in
- Genetics top 2%
- Bacterial Genetics and Biotechnology
- Molecular Biology top 10%
- Microbial Metabolic Engineering and Bioproduction
- Gene Regulatory Network Analysis
- RNA and protein synthesis mechanisms
- Bacterial biofilms and quorum sensing
- Genomics and Phylogenetic Studies
Papers in
- Genetics 14
- Bacterial Genetics and Biotechnology 14
-
- Antimicrobial Resistance in Staphylococcus 3
- 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)Michael Lalk (2 shared papers)Juliane Siebourg‐Polster (1 shared paper)Hanna Meyer (1 shared paper)
- Journals
- Science (2 papers)PLoS Genetics (2 papers)Nature Communications (1 paper)Environmental Microbiology (1 paper)Molecular Systems Biology (1 paper)
- Partner nations
- GermanyNetherlandsFrance
In The Last Decade
Marc Schaffer
17 papers receiving 1.6k citations
Marc Schaffer's Hit Papers
Peers
Comparison fields: 5 of 66
- Genetics 913
- Molecular Biology 664
- Biotechnology 70
- Infectious Diseases 123
- Spectroscopy 73
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 | Condition-Dependent Transcriptome Reveals High-Level Regulatory Architecture in Bacillus subtilis Hit paper breakdown → | 2012 | 727 |
| 2 | 2012 | 226 | |
| 3 | 2016 | 160 | |
| 4 | 2010 | 154 | |
| 5 | 2011 | 83 | |
| 6 | 2016 | 54 | |
| 7 | 2015 | 46 | |
| 8 | 2011 | 37 | |
| 9 | 2019 | 28 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 11 | |
| 12 | 2020 | 11 | |
| 13 | 2020 | 9 | |
| 14 | 2024 | 6 | |
| 15 | 2025 | 6 | |
| 16 | 2025 | 1 | |
| 17 | 2025 | 1 |
About Marc Schaffer
Marc Schaffer is a scholar working on Genetics, Infectious Diseases, Soil Science, Molecular Biology and Spectroscopy, having authored 17 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (14 papers), Antimicrobial Resistance in Staphylococcus (3 papers), RNA and protein synthesis mechanisms (1 paper), Soil Carbon and Nitrogen Dynamics (1 paper), Garlic and Onion Studies (1 paper), Redox biology and oxidative stress (1 paper), Microbial Community Ecology and Physiology (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Genetics (913 citations), Molecular Biology (664 citations), Biotechnology (70 citations), Infectious Diseases (123 citations) and Spectroscopy (73 citations). Marc Schaffer has collaborated with scholars based in Germany, Netherlands and France. Frequent co-authors include Ulrike Mäder, Dörte Becher, Michael Hecker, Jörg Bernhardt, Andreas Otto, Michael Lalk, Juliane Siebourg‐Polster, Hanna Meyer, Florian‐Alexander Herbst and Christina Herzberg. Their work appears in journals such as Science, PLoS Genetics, Nature Communications, Environmental Microbiology and Molecular Systems Biology.
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.