Sune Danø
Impact in
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- Nonlinear Dynamics and Pattern Formation
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- Gene Regulatory Network Analysis
- Microbial Metabolic Engineering and Bioproduction
- Fungal and yeast genetics research
- Protein Structure and Dynamics
- Photosynthetic Processes and Mechanisms
Papers in
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- Gene Regulatory Network Analysis 7
- Microbial Metabolic Engineering and Bioproduction 4
- Photosynthetic Processes and Mechanisms 4
- Protein Structure and Dynamics 2
- Fungal and yeast genetics research 2
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- Nonlinear Dynamics and Pattern Formation 6
- Co-authors
- Preben Graae Sørensen (7 shared papers)F. Hynne (3 shared papers)P. G. Sørensen (1 shared paper)Francesco d’Ovidio (2 shared papers)Silvia De Monte (2 shared papers)Mads Madsen (6 shared papers)Henning Schmidt (2 shared papers)Gunnar Cedersund (2 shared papers)
In The Last Decade
Sune Danø
11 papers receiving 817 citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 348
- Molecular Biology 564
- Statistical and Nonlinear Physics 98
- Modeling and Simulation 29
- Cellular and Molecular Neuroscience 74
Countries citing papers authored by Sune Danø
This map shows the geographic impact of Sune Danø'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 Sune Danø with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sune Danø more than expected).
Fields of papers citing papers by Sune Danø
This network shows the impact of papers produced by Sune Danø. 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 Sune Danø. The network helps show where Sune Danø may publish in the future.
Co-authors
The 11 scholars most cited alongside Sune Danø, 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 | 2001 | 211 | |
| 2 | 1999 | 188 | |
| 3 | 2007 | 173 | |
| 4 | 2005 | 63 | |
| 5 | 2006 | 61 | |
| 6 | 2001 | 46 | |
| 7 | 2007 | 41 | |
| 8 | 2008 | 33 | |
| 9 | 2009 | 7 | |
| 10 | 2005 | 7 | |
| 11 | 2012 | 3 |
About Sune Danø
Sune Danø is a scholar working on Molecular Biology, Computer Networks and Communications, Physiology, Biomedical Engineering and Cell Biology, having authored 11 papers that have together received 833 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (7 papers), Nonlinear Dynamics and Pattern Formation (6 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Photosynthetic Processes and Mechanisms (4 papers), Slime Mold and Myxomycetes Research (2 papers), Protein Structure and Dynamics (2 papers), Fungal and yeast genetics research (2 papers) and Plant and Biological Electrophysiology Studies (1 paper). The work is most often cited by research in Computer Networks and Communications (348 citations), Molecular Biology (564 citations), Statistical and Nonlinear Physics (98 citations), Modeling and Simulation (29 citations) and Cellular and Molecular Neuroscience (74 citations). Sune Danø has collaborated with scholars based in Denmark, Sweden and Germany. Frequent co-authors include Preben Graae Sørensen, F. Hynne, P. G. Sørensen, Francesco d’Ovidio, Silvia De Monte, Mads Madsen, Henning Schmidt, Gunnar Cedersund, Hans V. Westerhoff and Bjørn Quistorff. Their work appears in journals such as FEBS Journal, Biophysical Chemistry, Proceedings of the National Academy of Sciences, Bioinformatics and Faraday Discussions.
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.