Bart Charbon
Impact in
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- Cardiovascular Effects of Exercise
- Cardiomyopathy and Myosin Studies
- Cardiac electrophysiology and arrhythmias
Papers in
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- Biomedical Text Mining and Ontologies 4
- Genetics, Bioinformatics, and Biomedical Research 1
- Genetics 4
- Genomics and Rare Diseases 3
- Genetic Associations and Epidemiology 1
- Co-authors
- Morris A. Swertz (8 shared papers)Dennis Hendriksen (7 shared papers)Jan D.H. Jongbloed (2 shared papers)Gaetano Thiene (1 shared paper)Elisabetta Lazzarini (1 shared paper)Cristina Basso (1 shared paper)Chao Pang (4 shared papers)Kalliopi Pilichou (1 shared paper)
- Journals
- Bioinformatics (3 papers)Human Mutation (1 paper)International Journal of Molecular Sciences (1 paper)NAR Genomics and Bioinformatics (1 paper)Database (1 paper)
- Partner nations
- NetherlandsItalySpain
In The Last Decade
Bart Charbon
8 papers receiving 190 citations
Peers
Comparison fields: 5 of 58
- Health Informatics 4
- Cardiology and Cardiovascular Medicine 67
- Orthopedics and Sports Medicine 24
- Information Systems and Management 13
- Genetics 48
Countries citing papers authored by Bart Charbon
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
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-authors
The 25 scholars most cited alongside Bart Charbon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 64 | |
| 2 | 2018 | 55 | |
| 3 | 2020 | 32 | |
| 4 | 2015 | 25 | |
| 5 | 2016 | 10 | |
| 6 | 2024 | 6 | |
| 7 | 2017 | 3 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 0 |
About Bart Charbon
Bart Charbon is a scholar working on Molecular Biology, Genetics, Artificial Intelligence, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine, having authored 9 papers that have together received 196 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (4 papers), Semantic Web and Ontologies (3 papers), Genomics and Rare Diseases (3 papers), Metabolism and Genetic Disorders (1 paper), Genetic Associations and Epidemiology (1 paper), Natural Language Processing Techniques (1 paper), Cancer Genomics and Diagnostics (1 paper) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Health Informatics (4 citations), Cardiology and Cardiovascular Medicine (67 citations), Orthopedics and Sports Medicine (24 citations), Information Systems and Management (13 citations) and Genetics (48 citations). Bart Charbon has collaborated with scholars based in Netherlands, Italy and Spain. Frequent co-authors include Morris A. Swertz, Dennis Hendriksen, Jan D.H. Jongbloed, Gaetano Thiene, Elisabetta Lazzarini, Cristina Basso, Chao Pang, Kalliopi Pilichou, Fleur Kelpin and Hennie Bikker. Their work appears in journals such as Bioinformatics, Human Mutation, International Journal of Molecular Sciences, NAR Genomics and Bioinformatics and Database.
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.