Mikkel Klausen
- Molecular Biology top 2%
- Genetics top 2%
- Molecular Medicine top 0.5%
- Endocrinology top 0.5%
- Ecology top 5%
- Co-authors
- Tim Tolker‐NielsenSøren MolinMichael GivskovKim Bundvig BarkenLiang YangLotte LambertsenArne HeydornJeremy S. Webb
- Topics
- Bacterial biofilms and quorum sensing (10 papers)Antibiotic Resistance in Bacteria (5 papers)Antimicrobial Peptides and Activities (4 papers)
- Partner nations
- DenmarkUnited KingdomUnited States
In The Last Decade
Mikkel Klausen
26 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 3.0k
- Genetics 731
- Molecular Medicine 632
- Endocrinology 616
- Ecology 564
Countries citing papers authored by Mikkel Klausen
This map shows the geographic impact of Mikkel Klausen'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 Mikkel Klausen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikkel Klausen more than expected).
Fields of papers citing papers by Mikkel Klausen
This network shows the impact of papers produced by Mikkel Klausen. 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 Mikkel Klausen. The network helps show where Mikkel Klausen may publish in the future.
Co-authorship network of co-authors of Mikkel Klausen
This figure shows the co-authorship network connecting the top 25 collaborators of Mikkel Klausen. A scholar is included among the top collaborators of Mikkel Klausen 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 Mikkel Klausen. Mikkel Klausen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 31 | |
| 4 | 20 | |
| 5 | 111 | |
| 6 | 111 | |
| 7 | 7 | |
| 8 | 285 | |
| 9 | 95 | |
| 10 | 72 | |
| 11 | 312 | |
| 12 | 278 | |
| 13 | 142 | |
| 14 | 115 | |
| 15 | A characterization of DNA release in Pseudomonas aeruginosa cultures and biofilmsbreakdown → | 871 |
| 16 | 68 | |
| 17 | Biofilm formation by Pseudomonas aeruginosa wild type, flagella and type IV pili mutantsbreakdown → | 787 |
| 18 | 421 | |
| 19 | Staphylococcus aureus carriage and infections among patients in four haemo- and peritoneal-dialysis centres in Denmark. The Danish Study Group of Peritonitis in Dialysis (DASPID) | 20 |
| 20 | 48 |
About Mikkel Klausen
Mikkel Klausen is a scholar working on Molecular Medicine, Microbiology and Applied Microbiology and Biotechnology, having authored 27 papers that have together received 3.9k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (10 papers), Antibiotic Resistance in Bacteria (5 papers) and Antimicrobial Peptides and Activities (4 papers). The work is most often cited by research in Molecular Medicine (632 citations), Endocrinology (616 citations) and Microbiology (425 citations). Mikkel Klausen has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Tim Tolker‐Nielsen, Søren Molin, Michael Givskov, Kim Bundvig Barken, Liang Yang, Lotte Lambertsen, Arne Heydorn, Jeremy S. Webb, Staffan Kjelleberg and Morten Gjermansen. Their work appears in journals such as PLoS ONE, Journal of Bacteriology and International Journal of Molecular 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.