Imke Wiedemann
- Molecular Biology top 5%
- Food Science top 0.5%
- Microbiology top 0.2%
- Ecology top 5%
- Genetics top 10%
- Co-authors
- Hans‐Georg SahlGabriele BierbaumTanja SchneiderEefjan BreukinkBen de KruijffOscar P. KuipersCindy van KraaijRaquel Regina Bonelli
- Topics
- Probiotics and Fermented Foods (15 papers)Biochemical and Structural Characterization (10 papers)Antimicrobial Peptides and Activities (10 papers)
- Partner nations
- GermanySwitzerlandDenmark
In The Last Decade
Imke Wiedemann
21 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.8k
- Food Science 1.2k
- Microbiology 1.1k
- Ecology 396
- Genetics 305
Countries citing papers authored by Imke Wiedemann
This map shows the geographic impact of Imke Wiedemann'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 Imke Wiedemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imke Wiedemann more than expected).
Fields of papers citing papers by Imke Wiedemann
This network shows the impact of papers produced by Imke Wiedemann. 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 Imke Wiedemann. The network helps show where Imke Wiedemann may publish in the future.
Co-authorship network of co-authors of Imke Wiedemann
This figure shows the co-authorship network connecting the top 25 collaborators of Imke Wiedemann. A scholar is included among the top collaborators of Imke Wiedemann 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 Imke Wiedemann. Imke Wiedemann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 1 | |
| 3 | 430 | |
| 4 | 23 | |
| 5 | Plectasin, a fungal defensin antibiotic peptide, targets the bacterial cell wall precursor Lipid II | 1 |
| 6 | 60 | |
| 7 | 75 | |
| 8 | 19 | |
| 9 | 51 | |
| 10 | 175 | |
| 11 | 64 | |
| 12 | 140 | |
| 13 | 148 | |
| 14 | 138 | |
| 15 | 26 | |
| 16 | 54 | |
| 17 | Specific Binding of Nisin to the Peptidoglycan Precursor Lipid II Combines Pore Formation and Inhibition of Cell Wall Biosynthesis for Potent Antibiotic Activitybreakdown → | 614 |
| 18 | 157 | |
| 19 | 13 | |
| 20 | 342 |
About Imke Wiedemann
Imke Wiedemann is a scholar working on Microbiology, Food Science and Molecular Biology, having authored 21 papers that have together received 2.7k indexed citations. Recurring topics across this work include Probiotics and Fermented Foods (15 papers), Biochemical and Structural Characterization (10 papers) and Antimicrobial Peptides and Activities (10 papers). The work is most often cited by research in Microbiology (1.1k citations), Food Science (1.2k citations) and Molecular Medicine (148 citations). Imke Wiedemann has collaborated with scholars based in Germany, Switzerland and Denmark. Frequent co-authors include Hans‐Georg Sahl, Gabriele Bierbaum, Tanja Schneider, Eefjan Breukink, Ben de Kruijff, Oscar P. Kuipers, Cindy van Kraaij, Raquel Regina Bonelli, Michaele Josten and Roland Benz. Their work appears in journals such as Science, Journal of Biological Chemistry and Applied and Environmental 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.