Frits Dannenberg
Impact in
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- Advanced biosensing and bioanalysis techniques
- RNA Interference and Gene Delivery
- DNA and Nucleic Acid Chemistry
- RNA and protein synthesis mechanisms
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- Bacteriophages and microbial interactions
Papers in
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- Advanced biosensing and bioanalysis techniques 6
- RNA Interference and Gene Delivery 4
- Gene Regulatory Network Analysis 3
- DNA and Nucleic Acid Chemistry 3
- Microbial Metabolic Engineering and Bioproduction 1
- DNA and Biological Computing 1
- Ecology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- Marta Kwiatkowska (5 shared papers)Andrew J. Turberfield (3 shared papers)Thomas E. Ouldridge (2 shared papers)Jonathan Bath (2 shared papers)Katherine E. Dunn (2 shared papers)Milan Češka (1 shared paper)Nicola Paoletti (1 shared paper)Luboš Brim (1 shared paper)
- Journals
- Acta Informatica (1 paper)Natural Computing (1 paper)Nature (1 paper)The Journal of Chemical Physics (1 paper)Journal of The Royal Society Interface (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Frits Dannenberg
8 papers receiving 223 citations
Peers
Comparison fields: 5 of 38
- Molecular Biology 201
- Ecology 64
- Software 5
- Computational Theory and Mathematics 20
- Biomedical Engineering 53
Countries citing papers authored by Frits Dannenberg
This map shows the geographic impact of Frits Dannenberg'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 Frits Dannenberg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frits Dannenberg more than expected).
Fields of papers citing papers by Frits Dannenberg
This network shows the impact of papers produced by Frits Dannenberg. 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 Frits Dannenberg. The network helps show where Frits Dannenberg may publish in the future.
Co-authors
The 14 scholars most cited alongside Frits Dannenberg, 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 | 2015 | 144 | |
| 2 | 2015 | 28 | |
| 3 | 2016 | 19 | |
| 4 | 2014 | 16 | |
| 5 | 2018 | 12 | |
| 6 | 2015 | 3 | |
| 7 | 2023 | 2 | |
| 8 | 2018 | 1 |
About Frits Dannenberg
Frits Dannenberg is a scholar working on Molecular Biology, Ecology, Computational Theory and Mathematics, Spectroscopy and Infectious Diseases, having authored 8 papers that have together received 225 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (6 papers), RNA Interference and Gene Delivery (4 papers), Gene Regulatory Network Analysis (3 papers), DNA and Nucleic Acid Chemistry (3 papers), Bacteriophages and microbial interactions (3 papers), Formal Methods in Verification (2 papers), Microbial Metabolic Engineering and Bioproduction (1 paper) and DNA and Biological Computing (1 paper). The work is most often cited by research in Molecular Biology (201 citations), Ecology (64 citations), Software (5 citations), Computational Theory and Mathematics (20 citations) and Biomedical Engineering (53 citations). Frits Dannenberg has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Marta Kwiatkowska, Andrew J. Turberfield, Thomas E. Ouldridge, Jonathan Bath, Katherine E. Dunn, Milan Češka, Nicola Paoletti, Luboš Brim, Chris Thachuk and Erik Winfree. Their work appears in journals such as Acta Informatica, Natural Computing, Nature, The Journal of Chemical Physics and Journal of The Royal Society Interface.
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.