Mette E. Skindersoe
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 12
-
- Antimicrobial Resistance in Staphylococcus 3
- Co-authors
- Michael Givskov (12 shared papers)Thomas Bjarnsholt (6 shared papers)Thomas Bovbjerg Rasmussen (4 shared papers)Leo Eberl (3 shared papers)Niels Høiby (4 shared papers)Richard K. Phipps (4 shared papers)Morten Hentzer (2 shared papers)Peter Østrup Jensen (3 shared papers)
- Journals
- Microbiology (3 papers)Cytometry Part A (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)Marine Biotechnology (1 paper)Organic & Biomolecular Chemistry (1 paper)
- Partner nations
- DenmarkUnited KingdomSwitzerland
In The Last Decade
Mette E. Skindersoe
19 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 112
- Molecular Medicine 579
- Endocrinology 312
- Microbiology 313
- Periodontics 185
- Molecular Biology 1.8k
Countries citing papers authored by Mette E. Skindersoe
This map shows the geographic impact of Mette E. Skindersoe'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 Mette E. Skindersoe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mette E. Skindersoe more than expected).
Fields of papers citing papers by Mette E. Skindersoe
This network shows the impact of papers produced by Mette E. Skindersoe. 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 Mette E. Skindersoe. The network helps show where Mette E. Skindersoe may publish in the future.
Co-authors
The 25 scholars most cited alongside Mette E. Skindersoe, 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 | 2005 | 472 | |
| 2 | 2005 | 346 | |
| 3 | 2012 | 346 | |
| 4 | 2008 | 292 | |
| 5 | 2007 | 259 | |
| 6 | 2012 | 161 | |
| 7 | 2007 | 155 | |
| 8 | 2009 | 84 | |
| 9 | 2011 | 39 | |
| 10 | 2009 | 38 | |
| 11 | 2012 | 32 | |
| 12 | 2007 | 28 | |
| 13 | 2010 | 20 | |
| 14 | 2013 | 18 | |
| 15 | 2012 | 18 | |
| 16 | 2015 | 10 | |
| 17 | 2013 | 9 | |
| 18 | 2015 | 8 | |
| 19 | 2020 | 6 |
About Mette E. Skindersoe
Mette E. Skindersoe is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Endocrinology and Genetics, having authored 19 papers that have together received 2.3k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (12 papers), Antibiotic Resistance in Bacteria (4 papers), Vibrio bacteria research studies (3 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Genetics and Biotechnology (3 papers), Wound Healing and Treatments (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers) and Sulfur Compounds in Biology (2 papers). The work is most often cited by research in Molecular Medicine (579 citations), Endocrinology (312 citations), Microbiology (313 citations), Periodontics (185 citations) and Molecular Biology (1.8k citations). Mette E. Skindersoe has collaborated with scholars based in Denmark, United Kingdom and Switzerland. Frequent co-authors include Michael Givskov, Thomas Bjarnsholt, Thomas Bovbjerg Rasmussen, Leo Eberl, Niels Høiby, Richard K. Phipps, Morten Hentzer, Peter Østrup Jensen, Tim Tolker‐Nielsen and Liang Yang. Their work appears in journals such as Microbiology, Cytometry Part A, Antimicrobial Agents and Chemotherapy, Marine Biotechnology and Organic & Biomolecular Chemistry.
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.