Eefjan Breukink
Impact in
- Microbiology top 0.05%
- Antimicrobial Peptides and Activities
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
Papers in
- Microbiology 39
- Antimicrobial Peptides and Activities 36
- Co-authors
- Ben de KruijffOscar P. KuipersCindy van KraaijWaldemar VollmerHans‐Georg SahlR.A. DemelI. WiedemannGabriele Bierbaum
- Journals
- Journal of Biological Chemistry (16 papers)Biochemistry (15 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (7 papers)ChemBioChem (6 papers)Molecular Microbiology (5 papers)
- Partner nations
- NetherlandsUnited KingdomFrance
In The Last Decade
Eefjan Breukink
159 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 137
- Microbiology 2.6k
- Molecular Medicine 1.1k
- Food Science 2.9k
- Molecular Biology 6.7k
- Genetics 2.7k
Countries citing papers authored by Eefjan Breukink
This map shows the geographic impact of Eefjan Breukink'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 Eefjan Breukink with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eefjan Breukink more than expected).
Fields of papers citing papers by Eefjan Breukink
This network shows the impact of papers produced by Eefjan Breukink. 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 Eefjan Breukink. The network helps show where Eefjan Breukink may publish in the future.
Co-authors
The 25 scholars most cited alongside Eefjan Breukink, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | 2020 | 63 | |
| 3 | 2020 | 13 | |
| 4 | 2019 | 118 | |
| 5 | 2019 | 58 | |
| 6 | 2019 | 107 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 13 | |
| 9 | 2015 | 271 | |
| 10 | 2013 | 59 | |
| 11 | 2013 | 50 | |
| 12 | 2012 | 23 | |
| 13 | 2011 | 34 | |
| 14 | 2010 | 183 | |
| 15 | 2010 | 293 | |
| 16 | 2009 | 29 | |
| 17 | 2007 | 200 | |
| 18 | Lipid II as a target for antibiotics Hit paper breakdown → | 2006 | 553 |
| 19 | Specific interaction of the lantibiotic nisin with lipid II leads to highly efficient pore formation | 2001 | 5 |
| 20 | 1996 | 7 |
About Eefjan Breukink
Eefjan Breukink is a scholar working on Microbiology, Molecular Medicine, Genetics, Food Science and Molecular Biology, having authored 160 papers that have together received 10.9k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (57 papers), Bacteriophages and microbial interactions (37 papers), Antimicrobial Peptides and Activities (36 papers), Probiotics and Fermented Foods (35 papers), Biochemical and Structural Characterization (27 papers), RNA and protein synthesis mechanisms (21 papers), Lipid Membrane Structure and Behavior (20 papers) and Glycosylation and Glycoproteins Research (19 papers). The work is most often cited by research in Microbiology (2.6k citations), Molecular Medicine (1.1k citations), Food Science (2.9k citations), Molecular Biology (6.7k citations) and Genetics (2.7k citations). Eefjan Breukink has collaborated with scholars based in Netherlands, United Kingdom and France. Frequent co-authors include Ben de Kruijff, Oscar P. Kuipers, Cindy van Kraaij, Waldemar Vollmer, Hans‐Georg Sahl, R.A. Demel, Ben de Kruijff, I. Wiedemann, Gabriele Bierbaum and Alexandre M. J. J. Bonvin. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Biochimica et Biophysica Acta (BBA) - Biomembranes, ChemBioChem and Molecular 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.