Bart Charbon

420 total citations
9 papers, 196 citations indexed

About

Bart Charbon is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Bart Charbon has authored 9 papers receiving a total of 196 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Genetics and 3 papers in Artificial Intelligence. Recurrent topics in Bart Charbon's work include Biomedical Text Mining and Ontologies (4 papers), Genomics and Rare Diseases (3 papers) and Semantic Web and Ontologies (3 papers). Bart Charbon is often cited by papers focused on Biomedical Text Mining and Ontologies (4 papers), Genomics and Rare Diseases (3 papers) and Semantic Web and Ontologies (3 papers). Bart Charbon collaborates with scholars based in Netherlands, Italy and Canada. Bart Charbon's co-authors include Morris A. Swertz, Dennis Hendriksen, K. Joeri van der Velde, Paul A. van der Zwaag, Elisabetta Lazzarini, Gaetano Thiene, Jan D.H. Jongbloed, Cristina Basso, Fleur Kelpin and Kalliopi Pilichou and has published in prestigious journals such as Bioinformatics, International Journal of Molecular Sciences and Human Mutation.

In The Last Decade

Bart Charbon

8 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bart Charbon Netherlands	6	80	67	48	24	17	9	196
Stacy Park United States	7	130 1.6×	23 0.3×	13 0.3×	12 0.5×	13 0.8×	17	250
Xinyi Zheng China	10	94 1.2×	16 0.2×	34 0.7×	7 0.3×	11 0.6×	28	265
Mahmoud Dahdouli United States	5	145 1.8×	9 0.1×	60 1.3×	1 0.0×	13 0.8×	6	246
Matthew Varugheese United States	7	66 0.8×	18 0.3×	129 2.7×		28 1.6×	8	213
Ayton Meintjes South Africa	6	70 0.9×	9 0.1×	80 1.7×	6 0.3×	1 0.1×	9	247
Matthieu Wargny France	9	23 0.3×	10 0.1×	24 0.5×	6 0.3×	23 1.4×	22	153
Orli Bahcall United States	9	108 1.4×	6 0.1×	103 2.1×		12 0.7×	45	237
Ahmad Alimadadi United States	8	135 1.7×	40 0.6×	38 0.8×		35 2.1×	16	270
Eugene Clark United States	5	82 1.0×	55 0.8×	130 2.7×	1 0.0×	5 0.3×	5	206

Countries citing papers authored by Bart Charbon

Since Specialization

Citations

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

Fields of papers citing papers by Bart Charbon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bart Charbon

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

All Works

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9 of 9 papers shown

Boer, Eddy N. de, Dennis Hendriksen, Bart Charbon, et al.. (2025). Nanopore Long-Read Sequencing as a First-Tier Diagnostic Test to Detect Repeat Expansions in Neurological Disorders. International Journal of Molecular Sciences. 26(7). 2850–2850. 1 indexed citations

Johansson, Lennart, Bart Charbon, Dennis Hendriksen, et al.. (2025). MOLGENIS VIP: an end-to-end DNA variant interpretation pipeline for research and diagnostics configurable to support rapid implementation of new methods. NAR Genomics and Bioinformatics. 7(2). lqaf087–lqaf087.

Westra, Dineke, Eddy N. de Boer, Tom Hofste, et al.. (2024). Future of Dutch NGS-Based Newborn Screening: Exploring the Technical Possibilities and Assessment of a Variant Classification Strategy. International Journal of Neonatal Screening. 10(1). 20–20. 6 indexed citations

Li, Shuang�, K. Joeri van der Velde, Dick de Ridder, et al.. (2020). CAPICE: a computational method for Consequence-Agnostic Pathogenicity Interpretation of Clinical Exome variations. Genome Medicine. 12(1). 75–75. 32 indexed citations

Velde, K. Joeri van der, Floris Imhann, Bart Charbon, et al.. (2018). MOLGENIS research: advanced bioinformatics data software for non-bioinformaticians. Bioinformatics. 35(6). 1076–1078. 55 indexed citations

Pang, Chao, Fleur Kelpin, David van Enckevort, et al.. (2017). BiobankUniverse: automatic matchmaking between datasets for biobank data discovery and integration. Bioinformatics. 33(22). 3627–3634. 3 indexed citations

Pang, Chao, David van Enckevort, Fleur Kelpin, et al.. (2016). MOLGENIS/connect: a system for semi-automatic integration of heterogeneous phenotype data with applications in biobanks. Bioinformatics. 32(14). 2176–2183. 10 indexed citations

Pang, Chao, Anna Sijtsma, Dennis Hendriksen, et al.. (2015). SORTA: a system for ontology-based re-coding and technical annotation of biomedical phenotype data. Database. 2015. bav089–bav089. 25 indexed citations

Lazzarini, Elisabetta, Jan D.H. Jongbloed, Kalliopi Pilichou, et al.. (2015). The ARVD/C Genetic Variants Database: 2014 Update. Human Mutation. 36(4). 403–410. 64 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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