Wouter Boomsma
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Machine Learning in Bioinformatics
- Identification and Quantification in Food
- Structural Biology top 10%
Papers in
-
- Protein Structure and Dynamics 30
- Genomics and Phylogenetic Studies 6
- Ubiquitin and proteasome pathways 4
- Machine Learning in Bioinformatics 4
- RNA and protein synthesis mechanisms 4
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- Enzyme Structure and Function 12
- Co-authors
- Kresten Lindorff‐Larsen (17 shared papers)Jesper Ferkinghoff‐Borg (11 shared papers)Thomas Hamelryck (15 shared papers)Eske Willerslev (2 shared papers)Rasmus Nielsen (2 shared papers)Kasper Munch (2 shared papers)Jes Frellsen (9 shared papers)John P. Huelsenbeck (1 shared paper)
- Journals
- PLoS ONE (5 papers)Proceedings of the National Academy of Sciences (4 papers)Protein Science (3 papers)PLoS Computational Biology (3 papers)Cellular and Molecular Life Sciences (3 papers)
- Partner nations
- DenmarkUnited KingdomUnited States
In The Last Decade
Wouter Boomsma
49 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 1.3k
- Structural Biology 17
- Spectroscopy 190
- Materials Chemistry 372
- Computational Theory and Mathematics 124
Countries citing papers authored by Wouter Boomsma
This map shows the geographic impact of Wouter Boomsma'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 Wouter Boomsma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Boomsma more than expected).
Fields of papers citing papers by Wouter Boomsma
This network shows the impact of papers produced by Wouter Boomsma. 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 Wouter Boomsma. The network helps show where Wouter Boomsma may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Boomsma, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 160 | |
| 2 | 2014 | 150 | |
| 3 | 2008 | 99 | |
| 4 | 2022 | 90 | |
| 5 | 2014 | 86 | |
| 6 | 2019 | 82 | |
| 7 | 3D steerable CNNs: learning rotationally equivariant features in volumetric data | 2018 | 80 |
| 8 | 2023 | 76 | |
| 9 | 2015 | 67 | |
| 10 | 2018 | 63 | |
| 11 | 2015 | 61 | |
| 12 | 2008 | 60 | |
| 13 | 2010 | 53 | |
| 14 | 2021 | 51 | |
| 15 | 2015 | 46 | |
| 16 | 2016 | 44 | |
| 17 | 2013 | 42 | |
| 18 | 2010 | 39 | |
| 19 | 2019 | 33 | |
| 20 | 2013 | 33 |
About Wouter Boomsma
Wouter Boomsma is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 49 papers that have together received 1.8k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (30 papers), Enzyme Structure and Function (12 papers), Genomics and Phylogenetic Studies (6 papers), Ubiquitin and proteasome pathways (4 papers), Advanced NMR Techniques and Applications (4 papers), Machine Learning in Bioinformatics (4 papers), Computational Drug Discovery Methods (4 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Structural Biology (17 citations), Spectroscopy (190 citations), Materials Chemistry (372 citations) and Computational Theory and Mathematics (124 citations). Wouter Boomsma has collaborated with scholars based in Denmark, United Kingdom and United States. Frequent co-authors include Kresten Lindorff‐Larsen, Jesper Ferkinghoff‐Borg, Thomas Hamelryck, Eske Willerslev, Rasmus Nielsen, Kasper Munch, Jes Frellsen, John P. Huelsenbeck, Søren Hauberg and Nicki Skafte Detlefsen. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Protein Science, PLoS Computational Biology and Cellular and Molecular Life Sciences.
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.