Stefan Verhoeven

1.5k total citations
34 papers, 939 citations indexed

About

Stefan Verhoeven is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, Stefan Verhoeven has authored 34 papers receiving a total of 939 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 5 papers in Spectroscopy. Recurrent topics in Stefan Verhoeven's work include Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Bioinformatics and Genomic Networks (7 papers). Stefan Verhoeven is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Metabolomics and Mass Spectrometry Studies (7 papers) and Bioinformatics and Genomic Networks (7 papers). Stefan Verhoeven collaborates with scholars based in Netherlands, United Kingdom and United States. Stefan Verhoeven's co-authors include Justin J. J. van der Hooft, Lars Ridder, Jacques Vervoort, Ric C. H. de Vos, F. Diblen, Simon Rogers, Jurriaan H. Spaaks, Florian Huber, Jan P.G. Klomp and R.J. Bino and has published in prestigious journals such as Nucleic Acids Research, Analytical Chemistry and Journal of Medicinal Chemistry.

In The Last Decade

Stefan Verhoeven

31 papers receiving 919 citations

Peers

Countries citing papers authored by Stefan Verhoeven

Since Specialization

Citations

This map shows the geographic impact of Stefan Verhoeven'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 Stefan Verhoeven with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Verhoeven more than expected).

Fields of papers citing papers by Stefan Verhoeven

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stefan Verhoeven. 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 Stefan Verhoeven. The network helps show where Stefan Verhoeven may publish in the future.

Co-authorship network of co-authors of Stefan Verhoeven

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Verhoeven. A scholar is included among the top collaborators of Stefan Verhoeven based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Stefan Verhoeven. Stefan Verhoeven is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships 2021 ·PLoS Computational Biology ·Florian Huber, Lars Ridder, Stefan Verhoeven, Jurriaan H. Spaaks, F. Diblen, Simon Rogers, Justin J. J. van der Hooft	140
2	matchms - processing and similarity evaluation of mass spectrometry data. 2020 ·The Journal of Open Source Software ·Florian Huber, Stefan Verhoeven, Christiaan Meijer, Hanno Spreeuw, (unknown), Cunliang Geng, Justin J. J. van der Hooft, Simon Rogers, Adam Belloum, F. Diblen, Jurriaan H. Spaaks	65
3	sv-callers: a highly portable parallel workflow for structural variant detection in whole-genome sequence data 2020 ·PeerJ ·Arnold Kuzniar, Jason Maassen, Stefan Verhoeven, Luca Santuari, Carl Shneider, Wigard P. Kloosterman, Jeroen de Ridder	12
4	ESMValTool pre-processing functions for eWaterCycle 2020 ·(unknown), (unknown), Bouwe Andela, (unknown), Nick van de Giesen, Gijs van den Oord, Niels Drost, Yifat Dzigan, (unknown), Rolf Hut, Peter Kalverla, Inti Pelupessy, Stefan Verhoeven, (unknown), Ben van Werkhoven	1
5	GRPC4BMI: Running Earth System Models as Remote Services 2019 ·EGU General Assembly Conference Abstracts ·Gijs van den Oord, Stefan Verhoeven, Inti Pelupessy, (unknown), (unknown), (unknown), (unknown), (unknown), Yifat Dzigan, Ben van Werkhoven, Niels Drost, Rolf Hut	1
6	3D‐e‐Chem: Structural Cheminformatics Workflows for Computer‐Aided Drug Discovery 2018 ·ChemMedChem ·Albert J. Kooistra, Márton Vass, Ross McGuire, Rob Leurs, Iwan J. P. de Esch, Gert Vriend, Stefan Verhoeven, Chris de Graaf	16
7	A Structural Framework for GPCR Chemogenomics: What’s In a Residue Number? 2017 ·Methods in molecular biology ·Márton Vass, Albert J. Kooistra, Stefan Verhoeven, David E. Gloriam, Iwan J. P. de Esch, Chris de Graaf	5
8	NLeSC/Massive-PotreeConverter: 1.1.0 2017 ·Zenodo (CERN European Organization for Nuclear Research) ·(unknown), Stefan Verhoeven, Yifat Dzigan, (unknown), Romulo Gonçalves	1
9	Taming The Beast: Free And Open-Source Massive Point Cloud Web Visualization 2015 ·Zenodo (CERN European Organization for Nuclear Research) ·O. Martinez-Rubi, Stefan Verhoeven, (unknown), (unknown), Peter van Oosterom, (unknown), (unknown)	26
10	In Silico Prediction and Automatic LC–MSⁿ Annotation of Green Tea Metabolites in Urine 2014 ·Analytical Chemistry ·Lars Ridder, Justin J. J. van der Hooft, Stefan Verhoeven, Ric C. H. de Vos, Jacques Vervoort, R.J. Bino	38
11	Automatic Compound Annotation from Mass Spectrometry Data Using MAGMa 2014 ·Mass Spectrometry ·Lars Ridder, Justin J. J. van der Hooft, Stefan Verhoeven	72
12	Identification of new biomarker candidates for glucocorticoid induced insulin resistance using literature mining 2013 ·BioData Mining ·Wilco Fleuren, Erik J. M. Toonen, Stefan Verhoeven, Raoul Frijters, Tim Hulsen, (unknown), René van Schaik, Jacob de Vlieg, Wynand Alkema	4
13	Substructure‐based annotation of high‐resolution multistage MS ⁿ spectral trees 2012 ·Rapid Communications in Mass Spectrometry ·Lars Ridder, Justin J. J. van der Hooft, Stefan Verhoeven, Ric C. H. de Vos, René van Schaik, Jacques Vervoort	110
14	ss-TEA: Entropy based identification of receptor specific ligand binding residues from a multiple sequence alignment of class A GPCRs 2011 ·BMC Bioinformatics ·Marijn P. A. Sanders, Wilco Fleuren, Stefan Verhoeven, (unknown), Wynand Alkema, Jacob de Vlieg, Jan P.G. Klomp	21
15	CoPub update: CoPub 5.0 a text mining system to answer biological questions 2011 ·Nucleic Acids Research ·Wilco Fleuren, Stefan Verhoeven, Raoul Frijters, (unknown), Jan Polman, (unknown), J. de Vlieg, Wynand Alkema	32
16	Snooker: A Structure-Based Pharmacophore Generation Tool Applied to Class A GPCRs 2011 ·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	42
17	GPCRDB: information system for G protein-coupled receptors 2010 ·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	113
18	Literature-Based Compound Profiling: Application to Toxicogenomics 2007 ·Pharmacogenomics ·Raoul Frijters, Stefan Verhoeven, Wynand Alkema, René van Schaik, Jan Polman	17
19	CoPub Mapper: mining MEDLINE based on search term co-publication 2005 ·BMC Bioinformatics ·Blaise Alako, Antoine Veldhoven, Sjozèf van Baal, Rob Jelier, Stefan Verhoeven, (unknown), Jan Polman, Guido Jenster	58
20	Test facilities and safety regulations for rooftop mounted and grid-connected PV systems 2002 ·(unknown), (unknown), Stefan Verhoeven	2

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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