Bram Slabbinck

682 total citations
13 papers, 478 citations indexed

About

Bram Slabbinck is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Bram Slabbinck has authored 13 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Bram Slabbinck's work include Genomics and Phylogenetic Studies (5 papers), Plant Molecular Biology Research (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Bram Slabbinck is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Plant Molecular Biology Research (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). Bram Slabbinck collaborates with scholars based in Belgium, Italy and Austria. Bram Slabbinck's co-authors include Bernard De Baets, Willem Waegeman, P. Vauterin, Peter Vandamme, Katrien De Bruyne, Peter Dawyndt, Paul de Vos, Frederik Coppens, Dirk Inzé and Steven Maere and has published in prestigious journals such as Bioinformatics, The Plant Cell and PLANT PHYSIOLOGY.

In The Last Decade

Bram Slabbinck

13 papers receiving 465 citations

Peers

Countries citing papers authored by Bram Slabbinck

Since Specialization

Citations

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

Fields of papers citing papers by Bram Slabbinck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Slabbinck

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

All Works

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13 of 13 papers shown

#	Work	Indexed citations
1	Plant-RRBS, a bisulfite and next-generation sequencing-based methylome profiling method enriching for coverage of cytosine positions 2017 ·BMC Plant Biology ·Martin Schmidt, Michiel Van Bel, Magdalena Wołoszyńska, Bram Slabbinck, Cindy Martens, Marc De Block, Frederik Coppens, Mieke Van Lijsebettens	11
2	Leaf Growth Response to Mild Drought: Natural Variation in Arabidopsis Sheds Light on Trait Architecture 2016 ·The Plant Cell ·Pieter Clauw, Frederik Coppens, Arthur Korte, Dorota Herman, Bram Slabbinck, Stijn Dhondt, Twiggy Van Daele, Liesbeth De Milde, Mattias Vermeersch, Katrien Maleux, Steven Maere, Nathalie González, Dirk Inzé	71
3	Combined Large-Scale Phenotyping and Transcriptomics in Maize Reveals a Robust Growth Regulatory Network 2016 ·PLANT PHYSIOLOGY ·Joke Baute, Dorota Herman, Frederik Coppens, Jolien De Block, Bram Slabbinck, Matteo Dell’Acqua, Mario Enrico Pè, Steven Maere, Hilde Nelissen, Dirk Inzé	43
4	Selection for Improved Energy Use Efficiency and Drought Tolerance in Canola Results in Distinct Transcriptome and Epigenome Changes 2015 ·PLANT PHYSIOLOGY ·Aurine Verkest, Marina Byzova, Cindy Martens, Patrick J. Willems, (unknown), Bram Slabbinck, Debbie Rombaut, Jan Van de Velde, Klaas Vandepoele, (unknown), (unknown), Mieke Van Lijsebettens, Frank Van Breusegem, Marc De Block	40
5	Correlation analysis of the transcriptome of growing leaves with mature leaf parameters in a maize RIL population 2015 ·Genome biology ·Joke Baute, Dorota Herman, Frederik Coppens, Jolien De Block, Bram Slabbinck, Matteo Dell’Acqua, Mario Enrico Pè, Steven Maere, Hilde Nelissen, Dirk Inzé	36
6	Bacterial species identification from MALDI-TOF mass spectra through data analysis and machine learning 2011 ·Systematic and Applied Microbiology ·Katrien De Bruyne, Bram Slabbinck, Willem Waegeman, P. Vauterin, Bernard De Baets, Peter Vandamme	154
7	Análisis de Pseudomonas Fitopatógenas Usando Métodos Inteligentes de Aprendizaje: Un Enfoque General Sobre Taxonomía y Análisis de Ácidos Grasos Dentro del Género Pseudomonas 2010 ·Ghent University Academic Bibliography (Ghent University) ·Bram Slabbinck, Bernard De Baets, Peter Dawyndt, Paul de Vos	1
8	Analysis of plant-pathogenic Pseudomonas species using intelligent learning methods: a general focus on taxonomy and fatty acid analysis within the genus Pseudomonas. 2010 ·Revista mexicana de fitopatología(en línea)/Revista mexicana de fitopatología ·Bram Slabbinck, Bernard De Baets, Peter Dawyndt, Paul de Vos	1
9	From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification 2010 ·BMC Bioinformatics ·Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Paul de Vos, Bernard De Baets	17
10	Supervised learning algorithms for multi-class classification problems with partial class memberships 2010 ·Fuzzy Sets and Systems ·Willem Waegeman, Jan Verwaeren, Bram Slabbinck, Bernard De Baets	13
11	Towards large-scale FAME-based bacterial species identification using machine learning techniques 2009 ·Systematic and Applied Microbiology ·Bram Slabbinck, Bernard De Baets, Peter Dawyndt, Paul de Vos	31
12	Genus-wide Bacillus species identification through proper artificial neural network experiments on fatty acid profiles 2008 ·Antonie van Leeuwenhoek ·Bram Slabbinck, Bernard De Baets, Peter Dawyndt, Paul de Vos	14
13	TaxonGap: a visualization tool for intra- and inter-species variation among individual biomarkers 2008 ·Bioinformatics ·Bram Slabbinck, Peter Dawyndt, M. Martens, Paul de Vos, Bernard De Baets	46

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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