Griet Debyser

2.0k total citations
25 papers, 845 citations indexed

About

Griet Debyser is a scholar working on Molecular Biology, Spectroscopy and Genetics. According to data from OpenAlex, Griet Debyser has authored 25 papers receiving a total of 845 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 7 papers in Spectroscopy and 5 papers in Genetics. Recurrent topics in Griet Debyser's work include Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Griet Debyser is often cited by papers focused on Advanced Proteomics Techniques and Applications (7 papers), Genomics and Phylogenetic Studies (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Griet Debyser collaborates with scholars based in Belgium, Vietnam and Netherlands. Griet Debyser's co-authors include Bart Devreese, Peter Dawyndt, Bart Mesuere, Maarten Aerts, Peter Vandamme, Bart Samyn, Jozef Van Beeumen, Kjell Sergeant, Dirk C. de Graaf and Matthias Van Vaerenbergh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Dairy Science and Gene.

In The Last Decade

Griet Debyser

25 papers receiving 826 citations

Peers

Griet Debyser

SPECT

Donatella Fortunato Italy

Cristina Arce Spain

Jaap H. Akkerdaas Netherlands

Claudia Müller Germany

Antonio Palomba Italy

Évelyne Turlin France

Merima Bublin Austria

Anita Horvatić Croatia

Shuai Nie Australia

Maria Fiorella Mazzeo Italy

Donatella Fortunato Italy

Griet Debyser

329 ×0.8

62 ×0.3

SPECT

125 ×1.0

143 ×1.2

244 ×2.1

Citations per year, relative to Griet Debyser Griet Debyser (= 1×) peers Donatella Fortunato

Countries citing papers authored by Griet Debyser

Since Specialization

Citations

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

Fields of papers citing papers by Griet Debyser

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Griet Debyser

This figure shows the co-authorship network connecting the top 25 collaborators of Griet Debyser. A scholar is included among the top collaborators of Griet Debyser 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 Griet Debyser. Griet Debyser is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Morreel, Kris, et al.. (2022). Diving into the Structural Details of In Vitro Transcribed mRNA Using Liquid Chromatography–Mass Spectrometry-Based Oligonucleotide Profiling. 220–236. 3 indexed citations

Debyser, Griet, Maarten Aerts, Bart Mesuere, et al.. (2019). A Method for Comprehensive Proteomic Analysis of Human Faecal Samples to Investigate Gut Dysbiosis in Patients with Cystic Fibrosis. Advances in experimental medicine and biology. 1073. 137–160. 3 indexed citations

Goossens, Evy, Griet Debyser, Chana Callens, et al.. (2018). Elevated faecal ovotransferrin concentrations are indicative for intestinal barrier failure in broiler chickens. Veterinary Research. 49(1). 32 indexed citations

Debyser, Griet, Bart Mesuere, Lieven Clement, et al.. (2015). Faecal proteomics: A tool to investigate dysbiosis and inflammation in patients with cystic fibrosis. Journal of Cystic Fibrosis. 15(2). 242–250. 69 indexed citations

Vaerenbergh, Matthias Van, Griet Debyser, Guy Smagghe, Bart Devreese, & Dirk C. de Graaf. (2015). Unraveling the venom proteome of the bumblebee (Bombus terrestris) by integrating a combinatorial peptide ligand library approach with FT-ICR MS. Toxicon. 102. 81–88. 19 indexed citations

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

Vaerenbergh, Matthias Van, Griet Debyser, Bart Devreese, & Dirk C. de Graaf. (2014). Exploring the hidden honeybee (Apis mellifera) venom proteome by integrating a combinatorial peptide ligand library approach with FTMS. Journal of Proteomics. 99. 169–178. 58 indexed citations

Mesuere, Bart, Griet Debyser, Maarten Aerts, et al.. (2014). The Unipept metaproteomics analysis pipeline. PROTEOMICS. 15(8). 1437–1442. 102 indexed citations

Wiele, Tom Van de, Griet Debyser, Karin Struijs, et al.. (2012). Stability of milk fat globule membrane proteins toward human enzymatic gastrointestinal digestion. Journal of Dairy Science. 95(5). 2307–2318. 63 indexed citations

10.

Smet, Lina De, Ivan Dimitrov, Griet Debyser, et al.. (2011). The cDNA sequence of three hemocyanin subunits from the garden snail Helix lucorum. Gene. 487(2). 118–128. 19 indexed citations

11.

Debyser, Griet, Huib J. E. Croes, Gerdy B. ten Dam, et al.. (2011). PTPBR7 Binding Proteins in Myelinating Neurons of the Mouse Brain. International Journal of Biological Sciences. 7(7). 978–991. 4 indexed citations

12.

Sergeant, Kjell, et al.. (2010). A new chemical approach to differentiate carboxy terminal peptide fragments in cyanogen bromide digests of proteins. Journal of Proteomics. 73(8). 1454–1460. 11 indexed citations

13.

Devreese, Bart, Kjell Sergeant, Nick H. M. van Bakel, et al.. (2009). A proteome map of the pituitary melanotrope cell activated by black‐background adaptation of Xenopus laevis. PROTEOMICS. 10(3). 574–580. 3 indexed citations

14.

Spooren, Anneleen, Pieter Rondou, Béatrice Lintermans, et al.. (2009). Resistance of the dopamine D4 receptor to agonist-induced internalization and degradation. Cellular Signalling. 22(4). 600–609. 25 indexed citations

15.

Oliveira, Cláudia S., Rui Vitorino, Bart Samyn, et al.. (2009). Multiplicity of aspartic proteinases from Cynara cardunculus L.. Planta. 230(2). 429–439. 50 indexed citations

16.

Gebruers, Kurt, Johan Robben, Jean‐Paul Noben, et al.. (2008). Variability of polymorphic families of three types of xylanase inhibitors in the wheat grain proteome. PROTEOMICS. 8(8). 1692–1705. 21 indexed citations

17.

Samyn, Bart, et al.. (2006). MALDI‐TOF/TOF de novo sequence analysis of 2‐D PAGE‐separated proteins from Halorhodospira halophila, a bacterium with unsequenced genome. Electrophoresis. 27(13). 2702–2711. 31 indexed citations

18.

Samyn, Bart, Kjell Sergeant, Sébastien Carpentier, et al.. (2006). Functional Proteome Analysis of the Banana Plant (Musa spp.) Using de Novo Sequence Analysis of Derivatized Peptides. Journal of Proteome Research. 6(1). 70–80. 35 indexed citations

19.

Sergeant, Kjell, Bart Samyn, Griet Debyser, & Jozef Van Beeumen. (2005). De novo sequence analysis of N‐terminal sulfonated peptides after in‐gel guanidination. PROTEOMICS. 5(9). 2369–2380. 26 indexed citations

20.

Samyn, Bart, Griet Debyser, Kjell Sergeant, Bart Devreese, & Jozef Van Beeumen. (2004). A case study of de novo sequence analysis of N-sulfonated peptides by MALDI TOF/TOF mass spectrometry. Journal of the American Society for Mass Spectrometry. 15(12). 1838–1852. 45 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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