Daniela Börnigen
Impact in
- Periodontics top 5%
- Oral microbiology and periodontitis research
- Microbiology top 10%
Papers in
-
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 4
- Epigenetics and DNA Methylation 3
- Machine Learning in Bioinformatics 2
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- Cancer Genomics and Diagnostics 2
- Co-authors
- Curtis Huttenhower (7 shared papers)Xochitl C. Morgan (3 shared papers)Nicola Segata (1 shared paper)Yves Moreau (4 shared papers)Eric A. Franzosa (3 shared papers)Boyu Ren (2 shared papers)Lieven Thorrez (2 shared papers)Bart De Moor (2 shared papers)
- Journals
- Nucleic Acids Research (3 papers)PeerJ (1 paper)Scientific Reports (1 paper)Frontiers in Cardiovascular Medicine (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesGermanyBelgium
In The Last Decade
Daniela Börnigen
26 papers receiving 1.2k citations
Daniela Börnigen's Hit Papers
Peers
Comparison fields: 5 of 128
- Periodontics 83
- Microbiology 11
- Molecular Biology 735
- Ecology 257
- Otorhinolaryngology 35
Countries citing papers authored by Daniela Börnigen
This map shows the geographic impact of Daniela Börnigen'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 Börnigen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Börnigen more than expected).
Fields of papers citing papers by Daniela Börnigen
This network shows the impact of papers produced by Daniela Börnigen. 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 Börnigen. The network helps show where Daniela Börnigen may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniela Börnigen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PhyloPhlAn is a new method for improved phylogenetic and taxonomic placement of microbes Hit paper breakdown → | 2013 | 617 |
| 2 | 2017 | 106 | |
| 3 | 2012 | 64 | |
| 4 | 2012 | 54 | |
| 5 | 2013 | 53 | |
| 6 | 2013 | 42 | |
| 7 | 2023 | 32 | |
| 8 | 2013 | 30 | |
| 9 | 2020 | 28 | |
| 10 | 2016 | 20 | |
| 11 | 2013 | 19 | |
| 12 | SARS-CoV-2 evolution on a dynamic immune landscape Hit paper breakdown → | 2025 | 17 |
| 13 | 2016 | 16 | |
| 14 | 2015 | 14 | |
| 15 | 2020 | 12 | |
| 16 | 2015 | 10 | |
| 17 | 2021 | 10 | |
| 18 | 2013 | 7 | |
| 19 | 2014 | 7 | |
| 20 | 2020 | 6 |
About Daniela Börnigen
Daniela Börnigen is a scholar working on Molecular Biology, Cancer Research, Genetics, Immunology and Genetics, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (4 papers), Glioma Diagnosis and Treatment (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Genomics and Diagnostics (2 papers), Genetic Associations and Epidemiology (2 papers), Immune Response and Inflammation (2 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Periodontics (83 citations), Microbiology (11 citations), Molecular Biology (735 citations), Ecology (257 citations) and Otorhinolaryngology (35 citations). Daniela Börnigen has collaborated with scholars based in United States, Germany and Belgium. Frequent co-authors include Curtis Huttenhower, Xochitl C. Morgan, Nicola Segata, Yves Moreau, Eric A. Franzosa, Boyu Ren, Lieven Thorrez, Bart De Moor, Griet Laenen and Jennifer R. Rider. Their work appears in journals such as Nucleic Acids Research, PeerJ, Scientific Reports, Frontiers in Cardiovascular Medicine and Advances in experimental medicine and biology.
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.