Bas Vroling
Impact in
- Physiology top 5%
- Adenosine and Purinergic Signaling
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
Papers in
-
- Receptor Mechanisms and Signaling 11
- Protein Structure and Dynamics 2
- Biomedical Text Mining and Ontologies 2
- Enzyme Catalysis and Immobilization 2
- Genetics 7
- BRCA gene mutations in cancer 3
- Genomics and Rare Diseases 3
- Co-authors
- Gert Vriend (11 shared papers)Vignir Ísberg (3 shared papers)David E.I. Gloriam (3 shared papers)Stefan Mordalski (2 shared papers)Andrzej Jacek Bojarski (2 shared papers)Kasper Harpsøe (2 shared papers)Alexander S. Hauser (2 shared papers)Krzysztof Rataj (2 shared papers)
- Journals
- Nucleic Acids Research (5 papers)Pharmaceuticals (1 paper)BMC Bioinformatics (1 paper)Nature Communications (1 paper)Neuromuscular Disorders (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Bas Vroling
26 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Physiology 48
- Molecular Biology 763
- Computational Theory and Mathematics 187
- Sensory Systems 34
- Genetics 139
Countries citing papers authored by Bas Vroling
This map shows the geographic impact of Bas Vroling'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 Bas Vroling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bas Vroling more than expected).
Fields of papers citing papers by Bas Vroling
This network shows the impact of papers produced by Bas Vroling. 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 Bas Vroling. The network helps show where Bas Vroling may publish in the future.
Co-authors
The 25 scholars most cited alongside Bas Vroling, 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 | 2015 | 399 | |
| 2 | 2013 | 124 | |
| 3 | 2010 | 118 | |
| 4 | 2010 | 68 | |
| 5 | 2012 | 55 | |
| 6 | 2019 | 50 | |
| 7 | 2009 | 48 | |
| 8 | 2011 | 46 | |
| 9 | 2022 | 43 | |
| 10 | 2017 | 42 | |
| 11 | 2016 | 39 | |
| 12 | 2021 | 37 | |
| 13 | 2018 | 29 | |
| 14 | 2021 | 23 | |
| 15 | 2010 | 18 | |
| 16 | 2011 | 18 | |
| 17 | 2011 | 18 | |
| 18 | 2024 | 17 | |
| 19 | 2017 | 12 | |
| 20 | 2011 | 8 |
About Bas Vroling
Bas Vroling is a scholar working on Molecular Biology, Genetics, Computational Theory and Mathematics, Ecology and Sensory Systems, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Computational Drug Discovery Methods (4 papers), BRCA gene mutations in cancer (3 papers), Genomics and Rare Diseases (3 papers), Bacteriophages and microbial interactions (2 papers), Protein Structure and Dynamics (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Enzyme Catalysis and Immobilization (2 papers). The work is most often cited by research in Physiology (48 citations), Molecular Biology (763 citations), Computational Theory and Mathematics (187 citations), Sensory Systems (34 citations) and Genetics (139 citations). Bas Vroling has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Gert Vriend, Vignir Ísberg, David E.I. Gloriam, Stefan Mordalski, Andrzej Jacek Bojarski, Kasper Harpsøe, Alexander S. Hauser, Krzysztof Rataj, Christian Munk and Coos A. B. Baakman. Their work appears in journals such as Nucleic Acids Research, Pharmaceuticals, BMC Bioinformatics, Nature Communications and Neuromuscular Disorders.
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.