Bas Vroling

2.1k citations

21 papers · 1.0k indexed · h-index 14

Impact in

Cellular and Molecular Neuroscience top 5%
- 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 ⓘ

Cellular and Molecular Neuroscience 8
- Neuropeptides and Animal Physiology 8
Computational Theory and Mathematics 5
- Computational Drug Discovery Methods 5

Co-authors: Vignir Ísberg (2 shared papers)David E. Gloriam (2 shared papers)Gert Vriend (8 shared papers)Christian Munk (1 shared paper)Alexander S. Hauser (1 shared paper)Stefan Mordalski (1 shared paper)Kasper Harpsøe (1 shared paper)Krzysztof Rataj (1 shared paper)
Journals: Nucleic Acids Research (4 papers)BMC Biology (1 paper)Nature Communications (1 paper)BMC Bioinformatics (1 paper)The Pharmacogenomics Journal (1 paper)
Partner nations: Netherlands United Kingdom Germany

In The Last Decade

Bas Vroling

21 papers receiving 995 citations

Peers

Countries citing papers authored by Bas Vroling

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Bas Vroling Line = papers co-authored together Bas Vroling links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	GPCRdb: an information system for G protein-coupled receptors Nucleic Acids Research ·Vignir Ísberg, Stefan Mordalski, Christian Munk, Krzysztof Rataj, Kasper Harpsøe, Alexander S. Hauser, Bas Vroling, Andrzej J. Bojarski, Gert Vriend, David E. Gloriam	2015	365
2	GPCRDB: information system for G protein-coupled receptors Nucleic Acids Research ·Bas Vroling, Mark A Sanders, Coos Baakman, Annika Borrmann, Stefan Verhoeven, Jan P.G. Klomp, Luciana Gonçalves de Oliveira, J. de Vlieg, Gert Vriend	2010	113
3	GPCRDB: an information system for G protein-coupled receptors Nucleic Acids Research ·Vignir Ísberg, Bas Vroling, Rob van der Kant, Kang Li, Gert Vriend, David E. Gloriam	2013	109
4	GPCR-OKB: the G Protein Coupled Receptor Oligomer Knowledge Base Bioinformatics ·George Khelashvili, Kevin C. Dorff, Jufang Shan, Marta Camacho‐Artacho, Lucy Skrabanek, Bas Vroling, Michel Bouvier, Lakshmi A. Devi, Susan R. George, Jonathan A. Javitch, Martin J. Lohse, Graeme Milligan, Richard R. Neubig, Krzysztof Palczewski, Marc Parmentier, Jean‐Philippe Pin, Gerrit Vriend, Fabien Campagne, Marta Filizola	2010	64
5	The role of the second and third extracellular loops of the adenosine A1 receptor in activation and allosteric modulation Biochemical Pharmacology ·Miriam C. Peeters, Lisanne E. Wisse, A. Dinaj, Bas Vroling, Gert Vriend, Adriaan P. IJzerman	2012	51
6	Homology modelling and spectroscopy, a never-ending love story European Biophysics Journal ·Hanka Venselaar, Robbie P. Joosten, Bas Vroling, Coos Baakman, Maarten L. Hekkelman, Elmar Krieger, Gert Vriend	2009	47
7	Snooker: A Structure-Based Pharmacophore Generation Tool Applied to Class A GPCRs Journal of Chemical Information and Modeling ·Marijn P. A. Sanders, Stefan Verhoeven, Chris de Graaf, Luc Roumen, Bas Vroling, Sander B. Nabuurs, Jacob de Vlieg, Jan P.G. Klomp	2011	42
8	Functional analysis of genetic variants in the high-risk breast cancer susceptibility gene PALB2 Nature Communications ·Rick A.C.M. Boonen, Amélie Rodrigue, Chantal Stoepker, Wouter W. Wiegant, Bas Vroling, Milan Sharma, Magdalena B. Rother, Nandi Celosse, Maaike P.G. Vreeswijk, Fergus J. Couch, Jacques Simard, Peter Devilee, Jean‐Yves Masson, Haico van Attikum	2019	40
9	Complex phenotypes associated with STIM1 mutations in both coiled coil and EF-hand domains Neuromuscular Disorders ·Elizabeth Harris, U. Burki, Chiara Marini‐Bettolo, Marcella Neri, C. Scotton, Judith A. Hudson, Marta Bertoli, Teresinha Evangelista, Bas Vroling, Tuomo Polvikoski, Mark Roberts, Ana Töpf, Kate Bushby, Daniel McArthur, Hanns Lochmüller, Alessandra Ferlini, Volker Straub, Rita Barresi	2017	36
10	Functional Analysis Identifies Damaging CHEK2 Missense Variants Associated with Increased Cancer Risk Cancer Research ·Rick A.C.M. Boonen, Wouter W. Wiegant, Nandi Celosse, Bas Vroling, Stephan Heijl, Zsofia Kote‐Jarai, Martina Mijušković, Simona Cristea, Nienke Solleveld‐Westerink, Tom van Wezel, Niko Beerenwinkel, Rosalind A. Eeles, Peter Devilee, Maaike P.G. Vreeswijk, Giancarlo Marra, Haico van Attikum	2021	33
11	Recessive variants of MuSK are associated with late onset CMS and predominant limb girdle weakness American Journal of Medical Genetics Part A ·David J Owen, Ana Töpf, Veeramani Preethish‐Kumar, Paulo José Lorenzoni, Bas Vroling, Rosana Hermínia Scola, Elza Dias‐Tosta, Argemiro Geraldo, Kiran Polavarapu, Saraswati Nashi, Dan Cox, Teresinha Evangelista, John David Dawson, Rachel Thompson, Jan Senderek, Steven Laurie, Sergi Beltrán, Marta Gut, Atchayaram Nalini, Hanns Lochmüller	2018	23
12	NucleaRDB: information system for nuclear receptors Nucleic Acids Research ·Bas Vroling, D. J. Thorne, Philip McDermott, Henk‐Jan Joosten, Teresa K. Attwood, Steve Pettifer, Gert Vriend	2011	18
13	Systematic generation of in vivo G protein-coupled receptor mutants in the rat The Pharmacogenomics Journal ·Ruben van Boxtel, Bas Vroling, Pim W. Toonen, Isaäc J. Nijman, H van Roekel, Mark Verheul, Coos Baakman, Victor Guryev, Gert Vriend, Edwin Cuppen	2010	17
14	In Silico Veritas: The Pitfalls and Challenges of Predicting GPCR-Ligand Interactions Pharmaceuticals ·Luc Roumen, Marijn P. A. Sanders, Bas Vroling, Iwan J. P. de Esch, Jacob de Vlieg, Rob Leurs, Jan P.G. Klomp, Sander B. Nabuurs, Chris de Graaf	2011	16
15	CorNet: Assigning function to networks of co-evolving residues by automated literature mining PLoS ONE ·Tom van den Bergh, Giorgio E. Tamò, Alberto Nobili, Yifeng Tao, Tianwei Tan, Uwe T. Bornscheuer, Remko Kuipers, Bas Vroling, René M. de Jong, Kalyanasundaram Subramanian, Peter J. Schaap, Tom Desmet, Bernd Nidetzky, Gert Vriend, Henk‐Jan Joosten	2017	11
16	Understanding structure-guided variant effect predictions using 3D convolutional neural networks Frontiers in Molecular Biosciences ·Gayatri Ramakrishnan, Coos Baakman, Stephan Heijl, Bas Vroling, Ragna van Horck, Jeffrey Hiraki, Li C. Xue, Martijn A. Huynen	2023	8
17	Integrating GPCR-specific information with full text articles BMC Bioinformatics ·Bas Vroling, D. J. Thorne, Philip McDermott, Teresa K. Attwood, Gert Vriend, Steve Pettifer	2011	8
18	Beyond rational—biosensor-guided isolation of 100 independently evolved bacterial strain variants and comparative analysis of their genomes BMC Biology ·P. Baumann, Michael Dal Molin, Hannah Aring, Karin Krumbach, Moritz‐Fabian Müller, Bas Vroling, Philana V. Wesenhagen, Stephan Noack, Jan Marienhagen	2023	4
19	AmiP from hyperthermophilic Thermus parvatiensis prophage is a thermoactive and ultrathermostable peptidoglycan lytic amidase Protein Science ·Andrius Jasilionis, Magdalena Płotka, Lei Wang, Sebastian Dorawa, Joanna Lange, Hildegard Watzlawick, Tom van den Bergh, Bas Vroling, Josef Altenbuchner, Anna‐Karina Kaczorowska, Ehmke Pohl, Tadeusz Kaczorowski, Eva Nordberg Karlsson, Stefanie Freitag‐Pohl	2023	3
20	: The Pitfalls and Challenges of Predicting GPCR-Ligand Interactions. Pharmaceuticals Policy and Law ·Luc Roumen, Sanders Mpa, Bas Vroling, de Esch Ijp, de Vlieg J, Rob Leurs, Klomp Jpg, SB Nabuurs, Chris de Graaf	2011	1

About Bas Vroling

Bas Vroling is a scholar working on Cellular and Molecular Neuroscience, Computational Theory and Mathematics, Molecular Biology, Physiology and Sensory Systems, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (10 papers), Neuropeptides and Animal Physiology (8 papers), Computational Drug Discovery Methods (5 papers), Microbial Metabolic Engineering and Bioproduction (3 papers), Chemical Synthesis and Analysis (3 papers), Pancreatic function and diabetes (2 papers), BRCA gene mutations in cancer (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (346 citations), Molecular Biology (842 citations), Computational Theory and Mathematics (192 citations), Physiology (53 citations) and Sensory Systems (48 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, Christian Munk, Alexander S. Hauser, Stefan Mordalski, Kasper Harpsøe, Krzysztof Rataj, Andrzej J. Bojarski and Coos Baakman. Their work appears in journals such as Nucleic Acids Research, BMC Biology, Nature Communications, BMC Bioinformatics and The Pharmacogenomics Journal.

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.

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