Bas van Breukelen

2.6k total citations
40 papers, 2.0k citations indexed

About

Bas van Breukelen is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Bas van Breukelen has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Molecular Biology, 26 papers in Spectroscopy and 7 papers in Oncology. Recurrent topics in Bas van Breukelen's work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Bas van Breukelen is often cited by papers focused on Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (17 papers) and Metabolomics and Mass Spectrometry Studies (8 papers). Bas van Breukelen collaborates with scholars based in Netherlands, Germany and United Kingdom. Bas van Breukelen's co-authors include Albert J. R. Heck, Shabaz Mohammed, Monique Slijper, ‎Berend Snel, Martijn W. H. Pinkse, Jos Boekhorst, Simone Lemeer, Maarten Altelaar, Arjen Scholten and Joost W. Gouw and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Bas van Breukelen

40 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bas van Breukelen Netherlands 25 1.6k 943 267 133 128 40 2.0k
Dmitry M. Avtonomov United States 11 1.7k 1.1× 1.2k 1.3× 175 0.7× 98 0.7× 139 1.1× 14 2.3k
Craig D. Wenger United States 26 1.9k 1.2× 1.5k 1.5× 137 0.5× 115 0.9× 98 0.8× 28 2.5k
Hao Chi China 25 2.0k 1.3× 1.3k 1.4× 135 0.5× 123 0.9× 190 1.5× 55 2.5k
Andy T. Kong United States 8 1.3k 0.8× 796 0.8× 144 0.5× 88 0.7× 119 0.9× 10 1.7k
Josef Schwarz United Kingdom 6 1.4k 0.9× 1.1k 1.2× 110 0.4× 98 0.7× 144 1.1× 6 1.9k
Dattatreya Mellacheruvu United States 14 1.7k 1.0× 692 0.7× 205 0.8× 115 0.9× 363 2.8× 19 2.2k
Peter Pichler Austria 21 1.7k 1.1× 1.0k 1.1× 109 0.4× 80 0.6× 187 1.5× 42 2.4k
Maria Fälth Savitski Germany 8 1.2k 0.7× 461 0.5× 130 0.5× 72 0.5× 156 1.2× 10 1.5k
Tony Houthaeve Germany 12 1.3k 0.8× 784 0.8× 105 0.4× 124 0.9× 203 1.6× 15 2.0k
Holger Dinkel Germany 12 1.8k 1.1× 258 0.3× 160 0.6× 129 1.0× 227 1.8× 15 2.1k

Countries citing papers authored by Bas van Breukelen

Since Specialization
Citations

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

Fields of papers citing papers by Bas van Breukelen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bas van Breukelen. 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 van Breukelen. The network helps show where Bas van Breukelen may publish in the future.

Co-authorship network of co-authors of Bas van Breukelen

This figure shows the co-authorship network connecting the top 25 collaborators of Bas van Breukelen. A scholar is included among the top collaborators of Bas van Breukelen 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 Bas van Breukelen. Bas van Breukelen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Breukelen, Bas van, et al.. (2023). Proteogenomic Features of the Highly Polymorphic Histidine-rich Glycoprotein Arose Late in Evolution. Molecular & Cellular Proteomics. 22(7). 100585–100585. 4 indexed citations
2.
Altelaar, Maarten, et al.. (2023). Identification of Protein Complexes by Integrating Protein Abundance and Interaction Features Using a Deep Learning Strategy. International Journal of Molecular Sciences. 24(9). 7884–7884. 3 indexed citations
3.
Gestel, Renske A. van, Bas van Breukelen, Rolf T. Urbanus, et al.. (2020). Schistosoma mansoni infection affects the proteome and lipidome of circulating extracellular vesicles in the host. Molecular and Biochemical Parasitology. 238. 111296–111296. 11 indexed citations
4.
Guerreiro, Ana C. L., Marco Benevento, Robert Lehmann, et al.. (2014). Daily Rhythms in the Cyanobacterium Synechococcus elongatus Probed by High-resolution Mass Spectrometry–based Proteomics Reveals a Small Defined Set of Cyclic Proteins. Molecular & Cellular Proteomics. 13(8). 2042–2055. 66 indexed citations
5.
Liu, Fan, Bas van Breukelen, & Albert J. R. Heck. (2014). Facilitating Protein Disulfide Mapping by a Combination of Pepsin Digestion, Electron Transfer Higher Energy Dissociation (EThcD), and a Dedicated Search Algorithm SlinkS. Molecular & Cellular Proteomics. 13(10). 2776–2786. 67 indexed citations
6.
Low, Teck Yew, Sebastiaan van Heesch, Henk van den Toorn, et al.. (2013). Quantitative and Qualitative Proteome Characteristics Extracted from In-Depth Integrated Genomics and Proteomics Analysis. Cell Reports. 5(5). 1469–1478. 91 indexed citations
7.
Peng, Mao, Arjen Scholten, Albert J. R. Heck, & Bas van Breukelen. (2013). Identification of Enriched PTM Crosstalk Motifs from Large-Scale Experimental Data Sets. Journal of Proteome Research. 13(1). 249–259. 37 indexed citations
8.
Côté, Richard G., Johannes Griss, José A. Dianes, et al.. (2012). The PRoteomics IDEntification (PRIDE) Converter 2 Framework: An Improved Suite of Tools to Facilitate Data Submission to the PRIDE Database and the ProteomeXchange Consortium. Molecular & Cellular Proteomics. 11(12). 1682–1689. 93 indexed citations
9.
Cappadona, Salvatore, Peter R. Baker, Pedro R. Cutillas, Albert J. R. Heck, & Bas van Breukelen. (2012). Current challenges in software solutions for mass spectrometry-based quantitative proteomics. Amino Acids. 43(3). 1087–1108. 82 indexed citations
10.
Graaf, Erik L. de, Maarten Altelaar, Bas van Breukelen, Shabaz Mohammed, & Albert J. R. Heck. (2011). Improving SRM Assay Development: A Global Comparison between Triple Quadrupole, Ion Trap, and Higher Energy CID Peptide Fragmentation Spectra. Journal of Proteome Research. 10(9). 4334–4341. 77 indexed citations
11.
Helbig, Andreas O., Sara Rosati, W.W.M. Pim Pijnappel, et al.. (2010). Perturbation of the yeast N-acetyltransferase NatB induces elevation of protein phosphorylation levels. BMC Genomics. 11(1). 685–685. 73 indexed citations
12.
Breukelen, Bas van, et al.. (2010). LysNDeNovo: An algorithm enabling de novo sequencing of Lys‐N generated peptides fragmented by electron transfer dissociation. PROTEOMICS. 10(6). 1196–1201. 8 indexed citations
13.
Toorn, Henk W. P. van den, Javier Muñoz, Shabaz Mohammed, et al.. (2010). RockerBox: Analysis and Filtering of Massive Proteomics Search Results. Journal of Proteome Research. 10(3). 1420–1424. 28 indexed citations
14.
Helbig, Andreas O., Sharon Gauci, Reinout Raijmakers, et al.. (2010). Profiling of N-Acetylated Protein Termini Provides In-depth Insights into the N-terminal Nature of the Proteome. Molecular & Cellular Proteomics. 9(5). 928–939. 103 indexed citations
15.
Boekhorst, Jos, Bas van Breukelen, Albert J. R. Heck, & ‎Berend Snel. (2008). Comparative phosphoproteomics reveals evolutionary and functional conservation of phosphorylation across eukaryotes. Genome biology. 9(10). R144–R144. 73 indexed citations
16.
Gauci, Sharon, Bas van Breukelen, Simone Lemeer, Jeroen Krijgsveld, & Albert J. R. Heck. (2008). A versatile peptide pI calculator for phosphorylated and N‐terminal acetylated peptides experimentally tested using peptide isoelectric focusing. PROTEOMICS. 8(23-24). 4898–4906. 46 indexed citations
17.
Lemeer, Simone, Martijn W. H. Pinkse, Shabaz Mohammed, et al.. (2008). Online Automated in Vivo Zebrafish Phosphoproteomics: From Large-Scale Analysis Down to a Single Embryo. Journal of Proteome Research. 7(4). 1555–1564. 67 indexed citations
18.
Groot, Marco J. L. de, Pascale Daran‐Lapujade, Bas van Breukelen, et al.. (2007). Quantitative proteomics and transcriptomics of anaerobic and aerobic yeast cultures reveals post-transcriptional regulation of key cellular processes. Microbiology. 153(11). 3864–3878. 100 indexed citations
19.
Pinkse, Martijn W. H., Shabaz Mohammed, Joost W. Gouw, et al.. (2007). Highly Robust, Automated, and Sensitive Online TiO2-Based Phosphoproteomics Applied To Study Endogenous Phosphorylation in Drosophila melanogaster. Journal of Proteome Research. 7(2). 687–697. 153 indexed citations
20.
Breukelen, Bas van, Arjan Barendregt, Albert J. R. Heck, & Robert H. H. van den Heuvel. (2006). Resolving stoichiometries and oligomeric states of glutamate synthase protein complexes with curve fitting and simulation of electrospray mass spectra. Rapid Communications in Mass Spectrometry. 20(16). 2490–2496. 45 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026