Peter Røgen
Impact in
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- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Glycosylation and Glycoproteins Research
- Geometry and Topology top 10%
- Geometric and Algebraic Topology
Papers in
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- Protein Structure and Dynamics 13
- Machine Learning in Bioinformatics 6
- Glycosylation and Glycoproteins Research 3
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- Enzyme Structure and Function 11
- Co-authors
- Boris Fain (2 shared papers)Henrik Bohr (3 shared papers)Emanuele Paci (1 shared paper)Kresten Lindorff‐Larsen (1 shared paper)Michele Vendruscolo (1 shared paper)Christopher M. Dobson (1 shared paper)Thomas Hamelryck (2 shared papers)Wouter Boomsma (1 shared paper)
- Journals
- Geometriae Dedicata (4 papers)Proteins Structure Function and Bioinformatics (3 papers)Bioinformatics (1 paper)Algorithms for Molecular Biology (1 paper)PeerJ (1 paper)
- Partner nations
- DenmarkUnited StatesSwitzerland
In The Last Decade
Peter Røgen
25 papers receiving 386 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 293
- Geometry and Topology 30
- Materials Chemistry 152
- Computational Theory and Mathematics 34
- Spectroscopy 30
Countries citing papers authored by Peter Røgen
This map shows the geographic impact of Peter Røgen'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 Peter Røgen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Røgen more than expected).
Fields of papers citing papers by Peter Røgen
This network shows the impact of papers produced by Peter Røgen. 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 Peter Røgen. The network helps show where Peter Røgen may publish in the future.
Co-authors
The 21 scholars most cited alongside Peter Røgen, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 140 | |
| 2 | 2004 | 89 | |
| 3 | 2003 | 34 | |
| 4 | 2011 | 25 | |
| 5 | 2005 | 19 | |
| 6 | 2001 | 8 | |
| 7 | 2015 | 8 | |
| 8 | 2014 | 8 | |
| 9 | 2020 | 7 | |
| 10 | 2002 | 7 | |
| 11 | 2003 | 7 | |
| 12 | 2006 | 6 | |
| 13 | 1997 | 6 | |
| 14 | 2021 | 5 | |
| 15 | 1998 | 5 | |
| 16 | 2008 | 4 | |
| 17 | 2004 | 4 | |
| 18 | 2013 | 3 | |
| 19 | 1999 | 3 | |
| 20 | 2001 | 3 |
About Peter Røgen
Peter Røgen is a scholar working on Molecular Biology, Materials Chemistry, Geometry and Topology, Computational Theory and Mathematics and Applied Mathematics, having authored 26 papers that have together received 398 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (13 papers), Enzyme Structure and Function (11 papers), Machine Learning in Bioinformatics (6 papers), Geometric and Algebraic Topology (5 papers), Geometric Analysis and Curvature Flows (4 papers), Glycosylation and Glycoproteins Research (3 papers), Geometry and complex manifolds (3 papers) and Computational Drug Discovery Methods (3 papers). The work is most often cited by research in Molecular Biology (293 citations), Geometry and Topology (30 citations), Materials Chemistry (152 citations), Computational Theory and Mathematics (34 citations) and Spectroscopy (30 citations). Peter Røgen has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include Boris Fain, Henrik Bohr, Emanuele Paci, Kresten Lindorff‐Larsen, Michele Vendruscolo, Christopher M. Dobson, Thomas Hamelryck, Wouter Boomsma, Mikael Borg and Robert Sinclair. Their work appears in journals such as Geometriae Dedicata, Proteins Structure Function and Bioinformatics, Bioinformatics, Algorithms for Molecular Biology and PeerJ.
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.