Bas van Breukelen

2.6k citations
40 papers · 2.1k · h-index 25

Impact in

    • Advanced Proteomics Techniques and Applications
    • Mass Spectrometry Techniques and Applications
    • Metabolomics and Mass Spectrometry Studies
    • Ubiquitin and proteasome pathways
    • RNA and protein synthesis mechanisms
    • Glycosylation and Glycoproteins Research
    • Fungal and yeast genetics research

Papers in

    • Metabolomics and Mass Spectrometry Studies 6
    • RNA and protein synthesis mechanisms 5
    • Machine Learning in Bioinformatics 5
    • Glycosylation and Glycoproteins Research 3
    • Fungal and yeast genetics research 3
    • Advanced Proteomics Techniques and Applications 23
    • Mass Spectrometry Techniques and Applications 15

Bas van Breukelen

40 papers receiving 2.0k citations

Peers

Bas van Breukelen
Comparison fields: 5 of 95
  • Spectroscopy 964
  • Molecular Biology 1.6k
  • Oncology 264
  • Cell Biology 120
  • Microbiology 35
Replace Dmitry M. Avtonomov with:
Dmitry M. Avtonomov United States
Craig D. Wenger United States
Andy T. Kong United States
Josef Schwarz Germany
Hao Chi China
Stefan Kienle Germany
David H. Perlman United States
Dattatreya Mellacheruvu United States
Mi‐Youn Brusniak United States
Salvatore Sechi United States
Bas van Breukelen relative to Dmitry M. Avtonomov United States Dmitry M. Avtonomov's profile →
Citations per field
00.5×3.3×
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-authors

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

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007153
2 2009144
3 2006107
4 2010105
5 2007104
6 2013100
7 201293
8 201293
9 200792
10 201584
11 201180
12 200874
13 201073
14 201469
15 201468
16 200867
17 200358
18 200646
19 200846
20 201444

About Bas van Breukelen

Bas van Breukelen is a scholar working on Molecular Biology, Spectroscopy, Oncology, Genetics and Ecology, having authored 40 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (23 papers), Mass Spectrometry Techniques and Applications (15 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Peptidase Inhibition and Analysis (6 papers), RNA and protein synthesis mechanisms (5 papers), Machine Learning in Bioinformatics (5 papers), Glycosylation and Glycoproteins Research (3 papers) and Fungal and yeast genetics research (3 papers). The work is most often cited by research in Spectroscopy (964 citations), Molecular Biology (1.6k citations), Oncology (264 citations), Cell Biology (120 citations) and Microbiology (35 citations). Bas van Breukelen has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Albert J. R. Heck, Shabaz Mohammed, Monique Slijper, ‎Berend Snel, Jos Boekhorst, Martijn W. H. Pinkse, Simone Lemeer, Arjen Scholten, Maarten Altelaar and Piero Giansanti. Their work appears in journals such as Journal of Proteome Research, Molecular & Cellular Proteomics, Bioinformatics, Journal of Virology 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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