Bas van Breukelen
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications 24
- Mass Spectrometry Techniques and Applications 17
- Molecular Biology top 5%
- 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%
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- Virus-based gene therapy research 3
- Co-authors
- Albert J. R. HeckShabaz MohammedMonique SlijperBerend SnelMartijn W. H. PinkseJos BoekhorstSimone LemeerMaarten Altelaar
- Journals
- Journal of Proteome Research (10 papers)Molecular & Cellular Proteomics (6 papers)Cell Reports (2 papers)
- Partner nations
- NetherlandsGermanyUnited Kingdom
In The Last Decade
Bas van Breukelen
40 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 99
- Spectroscopy 943
- Molecular Biology 1.6k
- Oncology 267
- Cell Biology 128
- Microbiology 36
Countries citing papers authored by Bas van Breukelen
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 4 | |
| 2 | 2023 | 3 | |
| 3 | 2020 | 11 | |
| 4 | 2015 | 83 | |
| 5 | 2014 | 66 | |
| 6 | 2014 | 44 | |
| 7 | 2014 | 67 | |
| 8 | 2013 | 91 | |
| 9 | 2012 | 93 | |
| 10 | 2012 | 82 | |
| 11 | 2012 | 9 | |
| 12 | 2010 | 73 | |
| 13 | 2010 | 103 | |
| 14 | 2010 | 8 | |
| 15 | 2010 | 28 | |
| 16 | 2009 | 135 | |
| 17 | 2008 | 73 | |
| 18 | 2008 | 46 | |
| 19 | 2006 | 45 | |
| 20 | 2000 | 16 |
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.