Stephan Beisken
- Molecular Medicine top 1%
- Molecular Biology
- Pharmacology top 5%
- Clinical Biochemistry top 2%
- Epidemiology
- Co-authors
- Andreas E. PoschPranita D. TammaYehudit BergmanPatricia J. SimnerChristoph SteinbeckArndt von HaeselerSara E. CosgroveBernd Wiswedel
- Topics
- Antibiotic Resistance in Bacteria (18 papers)Bacterial Identification and Susceptibility Testing (15 papers)Genomics and Phylogenetic Studies (7 papers)
- Journals
- Clinical Infectious DiseasesInternational Journal of Molecular SciencesJournal of Clinical Microbiology
- Partner nations
- United StatesAustriaUnited Kingdom
In The Last Decade
Stephan Beisken
32 papers receiving 800 citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 411
- Molecular Biology 319
- Pharmacology 206
- Clinical Biochemistry 173
- Epidemiology 155
Countries citing papers authored by Stephan Beisken
This map shows the geographic impact of Stephan Beisken'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 Stephan Beisken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Beisken more than expected).
Fields of papers citing papers by Stephan Beisken
This network shows the impact of papers produced by Stephan Beisken. 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 Stephan Beisken. The network helps show where Stephan Beisken may publish in the future.
Co-authorship network of co-authors of Stephan Beisken
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Beisken. A scholar is included among the top collaborators of Stephan Beisken based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stephan Beisken. Stephan Beisken is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 4 | |
| 3 | 32 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 8 | |
| 7 | 9 | |
| 8 | 23 | |
| 9 | 5 | |
| 10 | 45 | |
| 11 | 23 | |
| 12 | 49 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 31 | |
| 16 | 8 | |
| 17 | 42 | |
| 18 | 10 | |
| 19 | 13 | |
| 20 | 103 |
About Stephan Beisken
Stephan Beisken is a scholar working on Molecular Medicine, Clinical Biochemistry and Applied Microbiology and Biotechnology, having authored 32 papers that have together received 813 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (18 papers), Bacterial Identification and Susceptibility Testing (15 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Molecular Medicine (411 citations), Applied Microbiology and Biotechnology (124 citations) and Clinical Biochemistry (173 citations). Stephan Beisken has collaborated with scholars based in United States, Austria and United Kingdom. Frequent co-authors include Andreas E. Posch, Pranita D. Tamma, Yehudit Bergman, Patricia J. Simner, Christoph Steinbeck, Arndt von Haeseler, Sara E. Cosgrove, Bernd Wiswedel, Thorsten Meinl and Michael R. Berthold. Their work appears in journals such as Clinical Infectious Diseases, International Journal of Molecular Sciences and Journal of Clinical 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.