Bart Devreese

15.6k total citations · 1 hit paper
306 papers, 10.9k citations indexed

About

Bart Devreese is a scholar working on Molecular Biology, Spectroscopy and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bart Devreese has authored 306 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 189 papers in Molecular Biology, 40 papers in Spectroscopy and 33 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bart Devreese's work include Mass Spectrometry Techniques and Applications (26 papers), Advanced Proteomics Techniques and Applications (25 papers) and Neurobiology and Insect Physiology Research (17 papers). Bart Devreese is often cited by papers focused on Mass Spectrometry Techniques and Applications (26 papers), Advanced Proteomics Techniques and Applications (25 papers) and Neurobiology and Insect Physiology Research (17 papers). Bart Devreese collaborates with scholars based in Belgium, United States and Netherlands. Bart Devreese's co-authors include Jozef Van Beeumen, Frank Vanrobaeys, Dirk C. de Graaf, Griet Debyser, Maarten Aerts, Peter Dawyndt, Bart Samyn, Isabel Vandenberghe, Yurong Wen and Paul Proost and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Bart Devreese

304 papers receiving 10.7k citations

Hit Papers

HIV-1 Integrase Forms Sta... 2002 2026 2010 2018 2002 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Bart Devreese 5.8k 1.2k 1.2k 1.1k 965 306 10.9k
Jozef Van Beeumen 6.3k 1.1× 1.2k 1.0× 972 0.8× 666 0.6× 523 0.5× 293 11.3k
Andrea Scaloni 7.4k 1.3× 1.3k 1.1× 1.4k 1.2× 939 0.9× 1.1k 1.2× 403 13.5k
Alain Van Dorsselaer 7.9k 1.4× 1.4k 1.2× 1.1k 0.9× 573 0.5× 508 0.5× 263 12.8k
Christian Cambillau 11.5k 2.0× 3.0k 2.5× 2.1k 1.7× 776 0.7× 1.5k 1.6× 347 20.0k
Gebhard von Jagow 12.1k 2.1× 1.6k 1.3× 1.1k 0.9× 944 0.9× 499 0.5× 72 16.8k
Peter Højrup 7.1k 1.2× 1.5k 1.3× 1.1k 1.0× 541 0.5× 518 0.5× 229 12.2k
Gabriel Studer 9.5k 1.6× 1.4k 1.2× 605 0.5× 398 0.4× 515 0.5× 22 15.2k
Nisse Kalkkinen 6.5k 1.1× 1.4k 1.2× 906 0.8× 1.0k 1.0× 226 0.2× 226 14.2k
Leonard J. Foster 9.7k 1.7× 2.3k 1.9× 525 0.4× 502 0.5× 1.6k 1.7× 314 15.9k
Stefan Bienert 8.7k 1.5× 1.3k 1.1× 565 0.5× 360 0.3× 478 0.5× 12 14.1k

Countries citing papers authored by Bart Devreese

Since Specialization
Citations

This map shows the geographic impact of Bart Devreese'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 Devreese with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bart Devreese more than expected).

Fields of papers citing papers by Bart Devreese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bart Devreese. 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 Devreese. The network helps show where Bart Devreese may publish in the future.

Co-authorship network of co-authors of Bart Devreese

This figure shows the co-authorship network connecting the top 25 collaborators of Bart Devreese. A scholar is included among the top collaborators of Bart Devreese 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 Devreese. Bart Devreese 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.
Kalauzi, Aleksandar, María Inés Villalba, Ksenija Radotić, et al.. (2024). Optical Nanomotion Detection to Rapidly Discriminate between Fungicidal and Fungistatic Effects of Antifungals on Single-Cell Candida albicans. Antibiotics. 13(8). 712–712.
2.
Villalba, María Inés, et al.. (2023). Single-Cell Optical Nanomotion of Candida albicans in Microwells for Rapid Antifungal Susceptibility Testing. Fermentation. 9(4). 365–365. 7 indexed citations
3.
Karim, Latifa, et al.. (2022). The virulome of Streptomyces scabiei in response to cello-oligosaccharide elicitors. Microbial Genomics. 8(1). 16 indexed citations
4.
Graaf, Dirk C. de, Márcia Regina Brochetto-Braga, Simon Blank, et al.. (2020). Standard methods forApis melliferavenom research. Journal of Apicultural Research. 60(4). 1–31. 25 indexed citations
5.
Raspoet, Ruth, Venessa Eeckhaut, Karen Vermeulen, et al.. (2019). The Salmonella Enteritidis TolC outer membrane channel is essential for egg white survival. Poultry Science. 98(5). 2281–2289. 9 indexed citations
6.
Asadian, Mahtab, Maarten Dhaenens, Yuliia Onyshchenko, et al.. (2018). Plasma Functionalization of Polycaprolactone Nanofibers Changes Protein Interactions with Cells, Resulting in Increased Cell Viability. ACS Applied Materials & Interfaces. 10(49). 41962–41977. 44 indexed citations
8.
Devos, Simon, Gonzalez Van Driessche, Stephan Stremersch, et al.. (2017). Membrane vesicle secretion and prophage induction in multidrug‐resistant Stenotrophomonas maltophilia in response to ciprofloxacin stress. Environmental Microbiology. 19(10). 3930–3937. 67 indexed citations
9.
Devreese, Bart. (2016). Faecal (meta)proteomics : a tool to investigate dysbiosis and inflammation in patients with cystic fibrosis. Journal of Proteomics & Bioinformatics. 9(11). 63–63. 1 indexed citations
10.
Anastasiou, Rania, Gonzalez Van Driessche, Effrossyni Boutou, et al.. (2015). Engineered strains of Streptococcus macedonicus towards an osmotic stress resistant phenotype retain their ability to produce the bacteriocin macedocin under hyperosmotic conditions. Journal of Biotechnology. 212. 125–133. 1 indexed citations
11.
Sergeant, Kjell, et al.. (2014). Automation of C-terminal sequence analysis of 2D-PAGE separated proteins. SHILAP Revista de lepidopterología. 3. 250–261. 2 indexed citations
12.
Cáceres, Nancy E., Maarten Aerts, Béatrice Marquez, et al.. (2013). Analysis of the Membrane Proteome of Ciprofloxacin-Resistant Macrophages by Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC). PLoS ONE. 8(3). e58285–e58285. 8 indexed citations
13.
Devreese, Bart, Sahana Nagabhushan Kalburgi, Lavanya Bachaboina, et al.. (2013). Restoration of Cytoskeleton Homeostasis After Gigaxonin Gene Transfer for Giant Axonal Neuropathy. Human Gene Therapy. 24(2). 209–219. 36 indexed citations
14.
Gilani, Kambiz, et al.. (2011). PROTEOME ANALYSIS OF MOUSE BRAIN EXPOSED TO CHRONIC HYPOXIA. 12(448). 503–510. 1 indexed citations
15.
Cardol, Pierre, et al.. (2008). In Chlamydomonas, the loss of ND5 subunit prevents the assembly of whole mitochondrial complex I and leads to the formation of a low abundant 700 kDa subcomplex. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1777(4). 388–396. 29 indexed citations
16.
Aerts, Maarten, et al.. (2007). Evaluation of macrophage cell membrane preparations for proteomics analysis. FEBS Journal. 274. 366–366. 1 indexed citations
17.
Vanrobaeys, Frank, et al.. (2004). Proteomic identification of the myelin proteins. Ghent University Academic Bibliography (Ghent University).
18.
Strijckmans, K., et al.. (2003). CE-ICP-SFMS for the detection of S and Zn in Aeromonas hydrophila Zn-beta-lactamase. Ghent University Academic Bibliography (Ghent University). 16(9). 616–620. 5 indexed citations
19.
Devreese, Bart & Jozef Van Beeumen. (2002). Nanoflow LC-Q-TOF MS for De Novo peptide sequencing in microbial proteomics.. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
20.
Goodhew, Celia F., Graham W. Pettigrew, Bart Devreese, et al.. (1996). The cytochromesc-550 ofParacoccus denitrificansandThiosphaera pantotropha: a need for re-evaluation of the history ofParacoccuscultures. FEMS Microbiology Letters. 137(1). 95–101. 19 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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