Bart Mesuere

1.6k total citations
36 papers, 799 citations indexed

About

Bart Mesuere is a scholar working on Molecular Biology, Spectroscopy and Computer Science Applications. According to data from OpenAlex, Bart Mesuere has authored 36 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Spectroscopy and 6 papers in Computer Science Applications. Recurrent topics in Bart Mesuere's work include Advanced Proteomics Techniques and Applications (15 papers), Genomics and Phylogenetic Studies (15 papers) and Bioinformatics and Genomic Networks (12 papers). Bart Mesuere is often cited by papers focused on Advanced Proteomics Techniques and Applications (15 papers), Genomics and Phylogenetic Studies (15 papers) and Bioinformatics and Genomic Networks (12 papers). Bart Mesuere collaborates with scholars based in Belgium, Germany and Italy. Bart Mesuere's co-authors include Peter Dawyndt, Bart Devreese, Peter Vandamme, Griet Debyser, Maarten Aerts, Felix Van der Jeugt, Lennart Martens, Pieter Verschaffelt, Alessandro Tanca and Sergio Uzzau and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Bart Mesuere

34 papers receiving 788 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bart Mesuere Belgium 15 574 281 128 72 51 36 799
Carolin A. Kolmeder Finland 11 696 1.2× 195 0.7× 83 0.6× 177 2.5× 143 2.8× 14 818
Kay Schallert Germany 10 346 0.6× 135 0.5× 116 0.9× 39 0.5× 24 0.5× 22 486
Cristina Fraumene Italy 18 692 1.2× 142 0.5× 70 0.5× 119 1.7× 199 3.9× 24 1.1k
Lucia Grenga France 16 362 0.6× 109 0.4× 101 0.8× 11 0.2× 23 0.5× 35 688
Marcello Abbondio Italy 13 496 0.9× 100 0.4× 29 0.2× 93 1.3× 154 3.0× 27 728
Felix Van der Jeugt Belgium 8 233 0.4× 101 0.4× 72 0.6× 32 0.4× 18 0.4× 10 348
Sung‐Ho Yun South Korea 14 325 0.6× 70 0.2× 84 0.7× 17 0.2× 13 0.3× 42 618
Ekaterina Sakharova United Kingdom 5 979 1.7× 27 0.1× 290 2.3× 160 2.2× 84 1.6× 5 1.2k
Ben Cocks Australia 10 238 0.4× 40 0.1× 33 0.3× 80 1.1× 45 0.9× 10 548
Liselott Svensson‐Stadler Sweden 15 313 0.5× 30 0.1× 90 0.7× 28 0.4× 14 0.3× 19 653

Countries citing papers authored by Bart Mesuere

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Bart Mesuere

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Mesuere. A scholar is included among the top collaborators of Bart Mesuere 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 Bart Mesuere. Bart Mesuere 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.
Abrams, Grégory, Robbin Bouwmeester, Kévin Di Modica, et al.. (2025). Classification of Collagens via Peptide Ambiguation, in a Paleoproteomic LC-MS/MS-Based Taxonomic Pipeline. Journal of Proteome Research. 24(4). 1907–1925. 2 indexed citations
2.
Verschaffelt, Pieter, Qingyao Huang, Nadezhda T. Doncheva, et al.. (2025). PathwayPilot: A User-Friendly Tool for Visualizing and Navigating Metabolic Pathways. Molecular & Cellular Proteomics. 24(3). 100918–100918.
3.
Bossche, Tim Van Den, et al.. (2025). Unipept in 2024: Expanding Metaproteomics Analysis with Support for Missed Cleavages and Semitryptic and Nontryptic Peptides. Journal of Proteome Research. 24(2). 949–954. 2 indexed citations
4.
Bossche, Tim Van Den, et al.. (2024). Biodiversity Analysis of Metaproteomics Samples with Unipept: A Comprehensive Tutorial. Methods in molecular biology. 2836. 183–215. 5 indexed citations
5.
Jeugt, Felix Van der, et al.. (2023). Dodona: Learn to code with a virtual co-teacher that supports active learning. SoftwareX. 24. 101578–101578. 3 indexed citations
6.
Goethals, K., et al.. (2023). Blink: An educational software debugger for Scratch. SoftwareX. 25. 101617–101617.
7.
Verschaffelt, Pieter, Alessandro Tanca, Marcello Abbondio, et al.. (2023). Unipept Desktop 2.0: Construction of Targeted Reference Protein Databases for Metaproteogenomics Analyses. Journal of Proteome Research. 22(8). 2620–2628. 11 indexed citations
8.
Scholliers, Christophe, et al.. (2023). TESTed—An educational testing framework with language-agnostic test suites for programming exercises. SoftwareX. 22. 101404–101404. 2 indexed citations
9.
Dawyndt, Peter, et al.. (2022). Dolos: Language‐agnostic plagiarism detection in source code. Journal of Computer Assisted Learning. 38(4). 1046–1061. 15 indexed citations
10.
Dhoedt, Bart, et al.. (2022). Pass/Fail Prediction in Programming Courses. Journal of Educational Computing Research. 61(1). 68–95. 14 indexed citations
11.
Jeugt, Felix Van der, Peter Dawyndt, & Bart Mesuere. (2022). FragGeneScanRs: faster gene prediction for short reads. BMC Bioinformatics. 23(1). 198–198. 12 indexed citations
12.
Jeugt, Felix Van der, et al.. (2022). UMGAP: the Unipept MetaGenomics Analysis Pipeline. BMC Genomics. 23(1). 433–433. 2 indexed citations
13.
Schallert, Kay, Pieter Verschaffelt, Bart Mesuere, et al.. (2022). Pout2Prot : An Efficient Tool to Create Protein (Sub)groups from Percolator Output Files. Journal of Proteome Research. 21(4). 1175–1180. 10 indexed citations
14.
Verschaffelt, Pieter, Tim Van Den Bossche, Lennart Martens, Peter Dawyndt, & Bart Mesuere. (2021). Unipept Desktop: A Faster, More Powerful Metaproteomics Results Analysis Tool. Journal of Proteome Research. 20(4). 2005–2009. 21 indexed citations
15.
Verschaffelt, Pieter, et al.. (2021). Unipept Visualizations: an interactive visualization library for biological data. Bioinformatics. 38(2). 562–563. 3 indexed citations
16.
Verschaffelt, Pieter, Tim Van Den Bossche, Michał Burdukiewicz, et al.. (2021). MegaGO: A Fast Yet Powerful Approach to Assess Functional Gene Ontology Similarity across Meta-Omics Data Sets. Journal of Proteome Research. 20(4). 2083–2088. 9 indexed citations
17.
Bossche, Tim Van Den, Pieter Verschaffelt, Kay Schallert, et al.. (2020). Connecting MetaProteomeAnalyzer and PeptideShaker to Unipept for Seamless End-to-End Metaproteomics Data Analysis. Journal of Proteome Research. 19(8). 3562–3566. 7 indexed citations
18.
Riffle, Michael, Bart Mesuere, Thilo Muth, et al.. (2020). Survey of metaproteomics software tools for functional microbiome analysis. PLoS ONE. 15(11). e0241503–e0241503. 30 indexed citations
19.
Tender, Caroline De, Bart Mesuere, Felix Van der Jeugt, et al.. (2019). Peat substrate amended with chitin modulates the N-cycle, siderophore and chitinase responses in the lettuce rhizobiome. Scientific Reports. 9(1). 9890–9890. 51 indexed citations
20.
Tanca, Alessandro, Antonio Palomba, Felix Van der Jeugt, et al.. (2018). Unipept 4.0: Functional Analysis of Metaproteome Data. Journal of Proteome Research. 18(2). 606–615. 112 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.

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