Bart Mesuere
Impact in
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
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- Gut microbiota and health
- Metabolomics and Mass Spectrometry Studies
- Genomics and Phylogenetic Studies
- Bioinformatics and Genomic Networks
Papers in
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- Genomics and Phylogenetic Studies 15
- Bioinformatics and Genomic Networks 12
- Metabolomics and Mass Spectrometry Studies 6
- Gut microbiota and health 5
- Spectroscopy 15
- Advanced Proteomics Techniques and Applications 15
- Co-authors
- Peter Dawyndt (28 shared papers)Bart Devreese (9 shared papers)Peter Vandamme (7 shared papers)Maarten Aerts (4 shared papers)Griet Debyser (5 shared papers)Felix Van der Jeugt (9 shared papers)Lennart Martens (12 shared papers)Pieter Verschaffelt (12 shared papers)
In The Last Decade
Bart Mesuere
34 papers receiving 788 citations
Peers
Comparison fields: 5 of 110
- Spectroscopy 281
- Molecular Biology 574
- Ecology 128
- Clinical Biochemistry 31
- Computer Science Applications 24
Countries citing papers authored by Bart Mesuere
This map shows the geographic impact of Bart Mesuere'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 Bart Mesuere with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Mesuere more than expected).
Fields of papers citing papers by Bart Mesuere
This network shows the impact of papers produced by Bart Mesuere. 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 Bart Mesuere. The network helps show where Bart Mesuere may publish in the future.
Co-authors
The 25 scholars most cited alongside Bart Mesuere, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 112 | |
| 2 | 2012 | 110 | |
| 3 | 2014 | 102 | |
| 4 | 2015 | 69 | |
| 5 | 2019 | 51 | |
| 6 | 2016 | 46 | |
| 7 | 2017 | 36 | |
| 8 | 2020 | 30 | |
| 9 | 2018 | 27 | |
| 10 | 2019 | 25 | |
| 11 | 2016 | 23 | |
| 12 | 2021 | 21 | |
| 13 | 2012 | 21 | |
| 14 | 2022 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2022 | 12 | |
| 17 | 2023 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2021 | 9 | |
| 20 | 2020 | 9 |
About Bart Mesuere
Bart Mesuere is a scholar working on Molecular Biology, Spectroscopy, Computer Science Applications, Information Systems and Pulmonary and Respiratory Medicine, having authored 36 papers that have together received 799 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (15 papers), Advanced Proteomics Techniques and Applications (15 papers), Bioinformatics and Genomic Networks (12 papers), Metabolomics and Mass Spectrometry Studies (6 papers), Teaching and Learning Programming (6 papers), Gut microbiota and health (5 papers), Online Learning and Analytics (3 papers) and Cystic Fibrosis Research Advances (3 papers). The work is most often cited by research in Spectroscopy (281 citations), Molecular Biology (574 citations), Ecology (128 citations), Clinical Biochemistry (31 citations) and Computer Science Applications (24 citations). Bart Mesuere has collaborated with scholars based in Belgium, Germany and Italy. Frequent co-authors include Peter Dawyndt, Bart Devreese, Peter Vandamme, Maarten Aerts, Griet Debyser, Felix Van der Jeugt, Lennart Martens, Pieter Verschaffelt, Alessandro Tanca and Antonio Palomba. Their work appears in journals such as Journal of Proteome Research, Bioinformatics, SoftwareX, Molecular & Cellular Proteomics and Journal of Cystic Fibrosis.
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.