Marc Erhardt
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Genetics top 2%
- Bacterial Genetics and Biotechnology
Papers in
-
- Escherichia coli research studies 15
- Vibrio bacteria research studies 10
- Genetics 38
- Bacterial Genetics and Biotechnology 32
- Co-authors
- Kelly T. Hughes (16 shared papers)Hanna M. Singer (7 shared papers)David F. Blair (4 shared papers)Takanori Hirano (3 shared papers)Koushik Paul (2 shared papers)Sebastian Felgner (9 shared papers)Siegfried Weiß (9 shared papers)Caroline Kühne (5 shared papers)
- Journals
- Molecular Microbiology (10 papers)Nature Communications (5 papers)mBio (4 papers)Journal of Bacteriology (3 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Marc Erhardt
66 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 104
- Endocrinology 611
- Genetics 1.1k
- Biotechnology 342
- Molecular Medicine 179
- Structural Biology 42
Countries citing papers authored by Marc Erhardt
This map shows the geographic impact of Marc Erhardt'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 Erhardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Erhardt more than expected).
Fields of papers citing papers by Marc Erhardt
This network shows the impact of papers produced by Marc Erhardt. 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 Erhardt. The network helps show where Marc Erhardt may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Erhardt, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 260 | |
| 2 | 2020 | 178 | |
| 3 | 2010 | 175 | |
| 4 | 2011 | 113 | |
| 5 | 2020 | 95 | |
| 6 | 2015 | 88 | |
| 7 | 2017 | 77 | |
| 8 | 2014 | 75 | |
| 9 | 2016 | 74 | |
| 10 | 2012 | 73 | |
| 11 | 2018 | 72 | |
| 12 | 2014 | 71 | |
| 13 | 2016 | 69 | |
| 14 | 2017 | 68 | |
| 15 | 2017 | 57 | |
| 16 | 2021 | 54 | |
| 17 | 2009 | 53 | |
| 18 | 2017 | 53 | |
| 19 | 2010 | 50 | |
| 20 | 2016 | 49 |
About Marc Erhardt
Marc Erhardt is a scholar working on Endocrinology, Genetics, Molecular Biology, Biotechnology and Ecology, having authored 67 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (32 papers), Lipid Membrane Structure and Behavior (17 papers), Escherichia coli research studies (15 papers), Bacteriophages and microbial interactions (15 papers), Vibrio bacteria research studies (10 papers), Cancer Research and Treatments (8 papers), Salmonella and Campylobacter epidemiology (8 papers) and Micro and Nano Robotics (7 papers). The work is most often cited by research in Endocrinology (611 citations), Genetics (1.1k citations), Biotechnology (342 citations), Molecular Medicine (179 citations) and Structural Biology (42 citations). Marc Erhardt has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Kelly T. Hughes, Hanna M. Singer, David F. Blair, Takanori Hirano, Koushik Paul, Sebastian Felgner, Siegfried Weiß, Caroline Kühne, Manfred Rohde and Dino Kocijancic. Their work appears in journals such as Molecular Microbiology, Nature Communications, mBio, Journal of Bacteriology and Proceedings of the National Academy of Sciences.
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.