Bas Vroling
Impact in
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- Neuropeptides and Animal Physiology
- Molecular Biology top 10%
- Receptor Mechanisms and Signaling
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Machine Learning in Bioinformatics
Papers in
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- Receptor Mechanisms and Signaling 9
- Microbial Metabolic Engineering and Bioproduction 3
- Chemical Synthesis and Analysis 2
- Ubiquitin and proteasome pathways 1
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- Neuropeptides and Animal Physiology 6
- Co-authors
- Vignir Ísberg (2 shared papers)David E. Gloriam (2 shared papers)Gert Vriend (8 shared papers)Kasper Harpsøe (1 shared paper)Alexander S. Hauser (1 shared paper)Stefan Mordalski (1 shared paper)Krzysztof Rataj (1 shared paper)Andrzej J. Bojarski (1 shared paper)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (1 paper)Neuromuscular Disorders (1 paper)PLoS ONE (1 paper)Protein Science (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Bas Vroling
21 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Cellular and Molecular Neuroscience 328
- Molecular Biology 819
- Physiology 52
- Computational Theory and Mathematics 179
- Sensory Systems 47
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 368 | |
| 2 | 2010 | 113 | |
| 3 | 2013 | 111 | |
| 4 | 2010 | 64 | |
| 5 | 2012 | 51 | |
| 6 | 2009 | 47 | |
| 7 | 2011 | 42 | |
| 8 | 2019 | 41 | |
| 9 | 2017 | 38 | |
| 10 | 2021 | 33 | |
| 11 | 2018 | 24 | |
| 12 | 2011 | 18 | |
| 13 | 2010 | 17 | |
| 14 | 2011 | 16 | |
| 15 | 2017 | 11 | |
| 16 | 2023 | 8 | |
| 17 | 2011 | 8 | |
| 18 | 2023 | 4 | |
| 19 | 2025 | 4 | |
| 20 | 2023 | 4 |
About Bas Vroling
Bas Vroling is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Surgery and Genetics, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (9 papers), Neuropeptides and Animal Physiology (6 papers), Computational Drug Discovery Methods (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Chemical Synthesis and Analysis (2 papers), Pancreatic function and diabetes (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Ubiquitin and proteasome pathways (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (328 citations), Molecular Biology (819 citations), Physiology (52 citations), Computational Theory and Mathematics (179 citations) and Sensory Systems (47 citations). Bas Vroling has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Vignir Ísberg, David E. Gloriam, Gert Vriend, Kasper Harpsøe, Alexander S. Hauser, Stefan Mordalski, Krzysztof Rataj, Andrzej J. Bojarski, Christian Munk and Coos Baakman. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Neuromuscular Disorders, PLoS ONE and Protein Science.
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.