Bas van Breukelen

2.6k citations
40 papers · 2.0k indexed · h-index 25
    • Advanced Proteomics Techniques and Applications 24
    • Mass Spectrometry Techniques and Applications 17
    • Metabolomics and Mass Spectrometry Studies 8
    • Machine Learning in Bioinformatics 5
    • RNA and protein synthesis mechanisms 5
    • Glycosylation and Glycoproteins Research 3
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 6
  • Cell Biology top 10%
  • Microbiology top 10%
    • Virus-based gene therapy research 3

Bas van Breukelen

40 papers receiving 2.0k citations

Peers

Bas van Breukelen
Comparison fields: 5 of 99
  • Spectroscopy 943
  • Molecular Biology 1.6k
  • Oncology 267
  • Cell Biology 128
  • Microbiology 36
Replace Dmitry M. Avtonomov with:
Dmitry M. Avtonomov United States
Andy T. Kong United States
Craig D. Wenger United States
Peter Pichler Austria
Hao Chi China
Josef Schwarz United Kingdom
Dattatreya Mellacheruvu United States
Mi‐Youn Brusniak United States
Stefan Kienle Germany
Tony Houthaeve Germany
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Citations per field
00.5×3.4×
Dmitry M. Avtonomov · 1×
Citations per year

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

The 25 scholars most cited alongside Bas van Breukelen, 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 van Breukelen Line = papers co-authored together Bas van Breukelen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20233
3 202011
4 201583
5 201466
6 201444
7 201467
8 201391
9 201293
10 201282
11 20129
12 201073
13 2010103
14 20108
15 201028
16 2009135
17 200873
18 200846
19 200645
20 200016

About Bas van Breukelen

Bas van Breukelen is a scholar working on Spectroscopy, Aging, Molecular Biology, Oncology and Genetics, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (24 papers), Mass Spectrometry Techniques and Applications (17 papers), Metabolomics and Mass Spectrometry Studies (8 papers), Peptidase Inhibition and Analysis (6 papers), Machine Learning in Bioinformatics (5 papers), RNA and protein synthesis mechanisms (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Spectroscopy (943 citations), Molecular Biology (1.6k citations), Oncology (267 citations), Cell Biology (128 citations) and Microbiology (36 citations). Bas van Breukelen has collaborated with scholars based in Netherlands, Germany and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Cell Reports, Bioinformatics and PROTEOMICS.

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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