Samuel Wagner
Impact in
- Endocrinology top 0.5%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
Papers in
- Genetics 38
- Bacterial Genetics and Biotechnology 37
-
- RNA and protein synthesis mechanisms 14
- Lipid Membrane Structure and Behavior 5
- Co-authors
- Jorge E. Galán (6 shared papers)Jan‐Willem De Gier (15 shared papers)Marı́a Lara-Tejero (3 shared papers)Thomas C. Marlovits (3 shared papers)Klaas J. van Wijk (7 shared papers)Andreas Diepold (2 shared papers)Louise Baars (8 shared papers)David Drew (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Nature Communications (3 papers)Molecular Microbiology (3 papers)mBio (2 papers)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- GermanyUnited StatesSweden
In The Last Decade
Samuel Wagner
55 papers receiving 3.2k citations
Samuel Wagner's Hit Papers
Peers
Comparison fields: 5 of 126
- Endocrinology 860
- Molecular Medicine 305
- Genetics 1.5k
- Structural Biology 53
- Ecology 630
Countries citing papers authored by Samuel Wagner
This map shows the geographic impact of Samuel Wagner'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 Samuel Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Wagner more than expected).
Fields of papers citing papers by Samuel Wagner
This network shows the impact of papers produced by Samuel Wagner. 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 Samuel Wagner. The network helps show where Samuel Wagner may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Wagner, 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 57 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Bacterial Type III Secretion Systems: Specialized Nanomachines for Protein Delivery into Target Cells Hit paper breakdown → | 2014 | 394 |
| 2 | 2008 | 346 | |
| 3 | 2007 | 303 | |
| 4 | 2006 | 218 | |
| 5 | 2011 | 203 | |
| 6 | 2018 | 139 | |
| 7 | 2018 | 130 | |
| 8 | 2016 | 125 | |
| 9 | 2014 | 121 | |
| 10 | 2010 | 116 | |
| 11 | 1979 | 70 | |
| 12 | 2017 | 60 | |
| 13 | 2016 | 56 | |
| 14 | 2011 | 56 | |
| 15 | 2015 | 55 | |
| 16 | 2008 | 55 | |
| 17 | 2016 | 51 | |
| 18 | 2014 | 51 | |
| 19 | 2020 | 49 | |
| 20 | 2017 | 47 |
About Samuel Wagner
Samuel Wagner is a scholar working on Genetics, Molecular Biology, Endocrinology, Ecology and Molecular Medicine, having authored 57 papers that have together received 3.3k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (37 papers), Bacteriophages and microbial interactions (16 papers), RNA and protein synthesis mechanisms (14 papers), Vibrio bacteria research studies (13 papers), Escherichia coli research studies (8 papers), Antibiotic Resistance in Bacteria (5 papers), Lipid Membrane Structure and Behavior (5 papers) and Salmonella and Campylobacter epidemiology (4 papers). The work is most often cited by research in Endocrinology (860 citations), Molecular Medicine (305 citations), Genetics (1.5k citations), Structural Biology (53 citations) and Ecology (630 citations). Samuel Wagner has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Jorge E. Galán, Jan‐Willem De Gier, Marı́a Lara-Tejero, Thomas C. Marlovits, Klaas J. van Wijk, Andreas Diepold, Louise Baars, David Drew, Mirjam Klepsch and A. Jimmy Ytterberg. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Molecular Microbiology, mBio 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.