Gerd Prehna
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
Papers in
-
- RNA and protein synthesis mechanisms 7
- Genetics 12
- Bacterial Genetics and Biotechnology 9
- Yersinia bacterium, plague, ectoparasites research 3
- Co-authors
- Michael J. Federle (4 shared papers)C. Erec Stebbins (3 shared papers)Matthew B. Neiditch (1 shared paper)Glenn C. Capodagli (1 shared paper)James B. Bliska (1 shared paper)N.C.J. Strynadka (4 shared papers)Barry Goldstein (2 shared papers)Sylvie Nessler (2 shared papers)
- Journals
- Journal of Biological Chemistry (7 papers)Nature Communications (2 papers)Journal of Medicinal Chemistry (2 papers)Protein Science (2 papers)Biochemistry (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Gerd Prehna
31 papers receiving 843 citations
Peers
Comparison fields: 5 of 76
- Endocrinology 129
- Molecular Medicine 64
- Microbiology 50
- Genetics 223
- Infectious Diseases 131
Countries citing papers authored by Gerd Prehna
This map shows the geographic impact of Gerd Prehna'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 Gerd Prehna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gerd Prehna more than expected).
Fields of papers citing papers by Gerd Prehna
This network shows the impact of papers produced by Gerd Prehna. 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 Gerd Prehna. The network helps show where Gerd Prehna may publish in the future.
Co-authors
The 25 scholars most cited alongside Gerd Prehna, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 110 | |
| 2 | 2006 | 100 | |
| 3 | 2004 | 74 | |
| 4 | 2016 | 48 | |
| 5 | 2020 | 46 | |
| 6 | 2002 | 46 | |
| 7 | 2016 | 45 | |
| 8 | 2013 | 41 | |
| 9 | 2012 | 39 | |
| 10 | 2022 | 38 | |
| 11 | 2012 | 37 | |
| 12 | 2022 | 37 | |
| 13 | 2012 | 22 | |
| 14 | 2016 | 21 | |
| 15 | 2016 | 19 | |
| 16 | 2017 | 16 | |
| 17 | 2018 | 14 | |
| 18 | 2014 | 12 | |
| 19 | 2012 | 11 | |
| 20 | 2018 | 11 |
About Gerd Prehna
Gerd Prehna is a scholar working on Molecular Biology, Genetics, Public Health, Environmental and Occupational Health, Ecology and Infectious Diseases, having authored 33 papers that have together received 854 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (9 papers), RNA and protein synthesis mechanisms (7 papers), Streptococcal Infections and Treatments (6 papers), Bacteriophages and microbial interactions (5 papers), Trace Elements in Health (4 papers), Vibrio bacteria research studies (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers) and Antibiotic Resistance in Bacteria (3 papers). The work is most often cited by research in Endocrinology (129 citations), Molecular Medicine (64 citations), Microbiology (50 citations), Genetics (223 citations) and Infectious Diseases (131 citations). Gerd Prehna has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael J. Federle, C. Erec Stebbins, Matthew B. Neiditch, Glenn C. Capodagli, James B. Bliska, N.C.J. Strynadka, Barry Goldstein, Sylvie Nessler, Judith P. Klinman and Brian J. Bahnson. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications, Journal of Medicinal Chemistry, Protein Science and Biochemistry.
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.