Wouter Boomsma
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Identification and Quantification in Food
- Machine Learning in Bioinformatics
- Ecology top 5%
- Environmental DNA in Biodiversity Studies
Papers in
-
- Protein Structure and Dynamics 33
- Genomics and Phylogenetic Studies 7
- RNA and protein synthesis mechanisms 5
- Machine Learning in Bioinformatics 5
- Ubiquitin and proteasome pathways 4
- Co-authors
- Kresten Lindorff‐Larsen (18 shared papers)Jesper Ferkinghoff‐Borg (11 shared papers)Thomas Hamelryck (16 shared papers)Eske Willerslev (2 shared papers)Kasper Munch (2 shared papers)Rasmus O. Nielsen (2 shared papers)Jes Frellsen (9 shared papers)Søren Hauberg (3 shared papers)
- Journals
- PLoS ONE (5 papers)Proceedings of the National Academy of Sciences (4 papers)Journal of Chemical Theory and Computation (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
54 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 148
- Molecular Biology 1.5k
- Ecology 352
- Spectroscopy 201
- Structural Biology 17
- Genetics 272
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 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 375 | |
| 2 | 2008 | 173 | |
| 3 | 2014 | 155 | |
| 4 | 2008 | 108 | |
| 5 | 2022 | 103 | |
| 6 | 2014 | 90 | |
| 7 | 2019 | 87 | |
| 8 | 2023 | 83 | |
| 9 | 2015 | 77 | |
| 10 | 2018 | 66 | |
| 11 | 2015 | 64 | |
| 12 | 2008 | 64 | |
| 13 | 2021 | 64 | |
| 14 | 2010 | 60 | |
| 15 | 2021 | 57 | |
| 16 | 2015 | 49 | |
| 17 | 2013 | 45 | |
| 18 | 2016 | 45 | |
| 19 | 2010 | 42 | |
| 20 | 2014 | 35 |
About Wouter Boomsma
Wouter Boomsma is a scholar working on Molecular Biology, Spectroscopy, Materials Chemistry, Computational Theory and Mathematics and Artificial Intelligence, having authored 55 papers that have together received 2.3k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (33 papers), Enzyme Structure and Function (14 papers), Genomics and Phylogenetic Studies (7 papers), Computational Drug Discovery Methods (5 papers), RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (5 papers), Metaheuristic Optimization Algorithms Research (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Ecology (352 citations), Spectroscopy (201 citations), Structural Biology (17 citations) and Genetics (272 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, Kasper Munch, Rasmus O. Nielsen, Jes Frellsen, Søren Hauberg, John P. Huelsenbeck and Nicki Skafte Detlefsen. Their work appears in journals such as PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Chemical Theory and Computation, 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.