Denitsa Eckweiler
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
- Vibrio bacteria research studies
Papers in
-
- Bacterial biofilms and quorum sensing 11
- Genomics and Phylogenetic Studies 4
- Ecology 5
- Bacteriophages and microbial interactions 3
- Microbial Community Ecology and Physiology 2
- Co-authors
- Susanne Häußler (15 shared papers)Andreas Dötsch (4 shared papers)Agata Bielecka‐Dąbrowa (8 shared papers)Monika Schniederjans (3 shared papers)V. Behrana Jensen (3 shared papers)Maren Scharfe (1 shared paper)Robert Geffers (1 shared paper)Sarah Pohl (4 shared papers)
- Journals
- mBio (5 papers)Nucleic Acids Research (3 papers)Journal of Bacteriology (2 papers)Frontiers in Microbiology (2 papers)Microbiology (1 paper)
- Partner nations
- GermanyUnited StatesAustria
In The Last Decade
Denitsa Eckweiler
20 papers receiving 941 citations
Peers
Comparison fields: 5 of 83
- Molecular Medicine 217
- Endocrinology 186
- Genetics 292
- Microbiology 59
- Molecular Biology 655
Countries citing papers authored by Denitsa Eckweiler
This map shows the geographic impact of Denitsa Eckweiler'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 Denitsa Eckweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denitsa Eckweiler more than expected).
Fields of papers citing papers by Denitsa Eckweiler
This network shows the impact of papers produced by Denitsa Eckweiler. 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 Denitsa Eckweiler. The network helps show where Denitsa Eckweiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Denitsa Eckweiler, 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 | 2012 | 200 | |
| 2 | 2015 | 109 | |
| 3 | 2018 | 67 | |
| 4 | 2016 | 67 | |
| 5 | 2016 | 66 | |
| 6 | 2015 | 62 | |
| 7 | 2014 | 52 | |
| 8 | 2015 | 46 | |
| 9 | 2013 | 42 | |
| 10 | 2018 | 41 | |
| 11 | 2014 | 37 | |
| 12 | 2017 | 35 | |
| 13 | 2017 | 29 | |
| 14 | 2017 | 20 | |
| 15 | 2015 | 19 | |
| 16 | 2012 | 15 | |
| 17 | 2016 | 14 | |
| 18 | 2014 | 13 | |
| 19 | 2015 | 11 | |
| 20 | 2018 | 10 |
About Denitsa Eckweiler
Denitsa Eckweiler is a scholar working on Molecular Biology, Ecology, Molecular Medicine, Genetics and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 955 indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (11 papers), Genomics and Phylogenetic Studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Antibiotic Resistance in Bacteria (4 papers), Cystic Fibrosis Research Advances (3 papers), Bacteriophages and microbial interactions (3 papers), Vibrio bacteria research studies (2 papers) and Microbial Community Ecology and Physiology (2 papers). The work is most often cited by research in Molecular Medicine (217 citations), Endocrinology (186 citations), Genetics (292 citations), Microbiology (59 citations) and Molecular Biology (655 citations). Denitsa Eckweiler has collaborated with scholars based in Germany, United States and Austria. Frequent co-authors include Susanne Häußler, Andreas Dötsch, Agata Bielecka‐Dąbrowa, Monika Schniederjans, V. Behrana Jensen, Maren Scharfe, Robert Geffers, Sarah Pohl, Sebastian Bruchmann and Klaus Hornischer. Their work appears in journals such as mBio, Nucleic Acids Research, Journal of Bacteriology, Frontiers in Microbiology and 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.