Bert Bogaerts

830 total citations
37 papers, 532 citations indexed

About

Bert Bogaerts is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Bert Bogaerts has authored 37 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Infectious Diseases and 11 papers in Ecology. Recurrent topics in Bert Bogaerts's work include Bacteriophages and microbial interactions (10 papers), Genomics and Phylogenetic Studies (9 papers) and Escherichia coli research studies (8 papers). Bert Bogaerts is often cited by papers focused on Bacteriophages and microbial interactions (10 papers), Genomics and Phylogenetic Studies (9 papers) and Escherichia coli research studies (8 papers). Bert Bogaerts collaborates with scholars based in Belgium, South Africa and Benin. Bert Bogaerts's co-authors include Sigrid C. J. De Keersmaecker, Kevin Vanneste, Nancy H. C. Roosens, Raf Winand, Julien Van Braekel, Qiang Fu, Stefan Hoffman, Kathleen Marchal, Bavo Verhaegen and Sarah Denayer and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Journal of Clinical Microbiology.

In The Last Decade

Bert Bogaerts

34 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bert Bogaerts Belgium 13 266 134 125 99 98 37 532
Alexandre Souvorov United States 3 181 0.7× 111 0.8× 87 0.7× 115 1.2× 53 0.5× 3 422
Jenny A. Laverde Gomez United States 9 262 1.0× 186 1.4× 163 1.3× 96 1.0× 38 0.4× 9 541
Raf Winand Belgium 14 290 1.1× 83 0.6× 104 0.8× 72 0.7× 73 0.7× 22 537
Roger Meisal Norway 12 313 1.2× 114 0.9× 146 1.2× 71 0.7× 124 1.3× 15 594
Charles Coluzzi France 10 182 0.7× 103 0.8× 158 1.3× 54 0.5× 43 0.4× 14 451
Maiju Pesonen Finland 15 154 0.6× 99 0.7× 91 0.7× 61 0.6× 66 0.7× 49 584
Erwin Sentausa France 7 358 1.3× 64 0.5× 112 0.9× 62 0.6× 50 0.5× 16 519
Mikhail Raiko Russia 4 365 1.4× 75 0.6× 271 2.2× 88 0.9× 54 0.6× 5 682
Virginie Libante France 14 287 1.1× 109 0.8× 111 0.9× 62 0.6× 44 0.4× 18 573
Charlotte D. Majerczyk United States 10 466 1.8× 262 2.0× 78 0.6× 34 0.3× 112 1.1× 10 713

Countries citing papers authored by Bert Bogaerts

Since Specialization
Citations

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

Fields of papers citing papers by Bert Bogaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bert Bogaerts

This figure shows the co-authorship network connecting the top 25 collaborators of Bert Bogaerts. A scholar is included among the top collaborators of Bert Bogaerts 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 Bert Bogaerts. Bert Bogaerts 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.
2.
Bogaerts, Bert, Kevin Vanneste, Sigrid C. J. De Keersmaecker, et al.. (2025). Whole-genome sequencing of soil- and foodborne Bacillus cereus sensu lato indicates no clear association between their virulence repertoire, genomic diversity and food matrix. International Journal of Food Microbiology. 439. 111266–111266. 1 indexed citations
4.
Ringenier, Moniek, Filip Boyen, Bert Bogaerts, et al.. (2025). Mapping the spread of fluoroquinolone resistance: continued presence of non-susceptible Escherichia coli in broilers. Frontiers in Veterinary Science. 12. 1610997–1610997.
5.
Bogaerts, Bert, Kevin Vanneste, Sigrid C. J. De Keersmaecker, et al.. (2024). Genomic comparison between Mycobacterium bovis and Mycobacterium microti and in silico analysis of peptide-based biomarkers for serodiagnosis. Frontiers in Veterinary Science. 11. 1446930–1446930. 2 indexed citations
6.
D’aes, Jolien, Marie‐Alice Fraiture, Bert Bogaerts, et al.. (2024). Metagenomics-based tracing of genetically modified microorganism contaminations in commercial fermentation products. Food Chemistry Molecular Sciences. 10. 100236–100236. 2 indexed citations
7.
Verhaegen, Bavo, Sarah Denayer, Florence Crombé, et al.. (2023). Transforming Shiga toxin-producing Escherichia coli surveillance through whole genome sequencing in food safety practices. Frontiers in Microbiology. 14. 1204630–1204630. 6 indexed citations
8.
Bogaerts, Bert, Kevin Vanneste, Sigrid C. J. De Keersmaecker, et al.. (2023). Whole-Genome Sequencing-Based Screening of MRSA in Patients and Healthcare Workers in Public Hospitals in Benin. Microorganisms. 11(8). 1954–1954. 3 indexed citations
9.
D’aes, Jolien, Marie‐Alice Fraiture, Bert Bogaerts, et al.. (2022). Metagenomic Characterization of Multiple Genetically Modified Bacillus Contaminations in Commercial Microbial Fermentation Products. Life. 12(12). 1971–1971. 13 indexed citations
10.
Michelacci, Valeria, Silvia Arancia, Paola Chiani, et al.. (2022). Population Analysis of O26 Shiga Toxin-Producing Escherichia coli Causing Hemolytic Uremic Syndrome in Italy, 1989–2020, Through Whole Genome Sequencing. Frontiers in Cellular and Infection Microbiology. 12. 842508–842508. 6 indexed citations
13.
Soetaert, Karine, Pieter‐Jan Ceyssens, Samira Boarbi, et al.. (2021). Retrospective evaluation of routine whole genome sequencing of Mycobacterium tuberculosis at the Belgian National Reference Center, 2019. Acta Clinica Belgica. 77(5). 853–860. 8 indexed citations
14.
Bogaerts, Bert, Bavo Verhaegen, Sarah Denayer, et al.. (2021). Whole Genome Sequencing Provides an Added Value to the Investigation of Staphylococcal Food Poisoning Outbreaks. Frontiers in Microbiology. 12. 750278–750278. 10 indexed citations
16.
Bogaerts, Bert, Bavo Verhaegen, Sarah Denayer, et al.. (2020). The Benefits of Whole Genome Sequencing for Foodborne Outbreak Investigation from the Perspective of a National Reference Laboratory in a Smaller Country. Foods. 9(8). 1030–1030. 24 indexed citations
17.
Fraiture, Marie‐Alice, Bert Bogaerts, Raf Winand, et al.. (2020). Identification of an unauthorized genetically modified bacteria in food enzyme through whole-genome sequencing. Scientific Reports. 10(1). 7094–7094. 18 indexed citations
18.
Winand, Raf, Bert Bogaerts, Stefan Hoffman, et al.. (2019). Targeting the 16S rRNA Gene for Bacterial Identification in Complex Mixed Samples: Comparative Evaluation of Second (Illumina) and Third (Oxford Nanopore Technologies) Generation Sequencing Technologies. International Journal of Molecular Sciences. 21(1). 298–298. 140 indexed citations
20.
Sharma, Ravi Datta, Bert Bogaerts, & Neha Goyal. (2017). Data on RDM16 and STA1 regulate differential usage of exon/intron in RNA directed DNA Methylation pathway. Data in Brief. 12. 261–268. 1 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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