Daniela Keilberg
Impact in
- Genetics top 10%
- Bacterial Genetics and Biotechnology
- Endocrinology top 10%
Papers in
-
- RNA and protein synthesis mechanisms 4
- Bacterial biofilms and quorum sensing 3
- Genomics and Phylogenetic Studies 3
- Protist diversity and phylogeny 2
- Genetics 10
- Bacterial Genetics and Biotechnology 10
- Co-authors
- Lotte Søgaard‐Andersen (11 shared papers)Karen M. Ottemann (4 shared papers)Kristin Wuichet (4 shared papers)Alfred Wittinghofer (1 shared paper)Ingrid R. Vetter (1 shared paper)Mandy Miertzschke (1 shared paper)Yana Zavros (2 shared papers)Benjamin Shepherd (1 shared paper)
- Journals
- Infection and Immunity (2 papers)PLoS Genetics (2 papers)Journal of Bacteriology (1 paper)mBio (1 paper)Mathematical Biosciences (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniela Keilberg
16 papers receiving 436 citations
Peers
Comparison fields: 5 of 60
- Genetics 212
- Endocrinology 35
- Molecular Biology 303
- Cell Biology 45
- Small Animals 18
Countries citing papers authored by Daniela Keilberg
This map shows the geographic impact of Daniela Keilberg'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 Daniela Keilberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Keilberg more than expected).
Fields of papers citing papers by Daniela Keilberg
This network shows the impact of papers produced by Daniela Keilberg. 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 Daniela Keilberg. The network helps show where Daniela Keilberg may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Keilberg, 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 | 2011 | 80 | |
| 2 | 2016 | 75 | |
| 3 | 2012 | 52 | |
| 4 | 2015 | 46 | |
| 5 | 2015 | 42 | |
| 6 | 2016 | 36 | |
| 7 | 2019 | 35 | |
| 8 | 2014 | 25 | |
| 9 | 2015 | 17 | |
| 10 | 2020 | 11 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 5 | |
| 13 | 2013 | 2 | |
| 14 | 2012 | 1 | |
| 15 | 2014 | 1 | |
| 16 | 2025 | 1 | |
| 17 | Two-component systems involved in regulation of motility and development in Myxococcus xanthus. | 2012 | 1 |
About Daniela Keilberg
Daniela Keilberg is a scholar working on Molecular Biology, Genetics, Surgery, Immunology and Infectious Diseases, having authored 17 papers that have together received 439 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (10 papers), Helicobacter pylori-related gastroenterology studies (4 papers), RNA and protein synthesis mechanisms (4 papers), Bacterial biofilms and quorum sensing (3 papers), Genomics and Phylogenetic Studies (3 papers), Protist diversity and phylogeny (2 papers), Nonlinear Dynamics and Pattern Formation (1 paper) and Microbial Metabolites in Food Biotechnology (1 paper). The work is most often cited by research in Genetics (212 citations), Endocrinology (35 citations), Molecular Biology (303 citations), Cell Biology (45 citations) and Small Animals (18 citations). Daniela Keilberg has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Lotte Søgaard‐Andersen, Karen M. Ottemann, Kristin Wuichet, Alfred Wittinghofer, Ingrid R. Vetter, Mandy Miertzschke, Yana Zavros, Benjamin Shepherd, Nina R. Salama and Andrea Harms. Their work appears in journals such as Infection and Immunity, PLoS Genetics, Journal of Bacteriology, mBio and Mathematical Biosciences.
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.