Bert Coessens
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Gene expression and cancer classification
- Biomedical Text Mining and Ontologies
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Genetics top 10%
- Genomics and Rare Diseases
- Genetic Associations and Epidemiology
- Genomic variations and chromosomal abnormalities
Papers in
-
- Bioinformatics and Genomic Networks 7
- Gene expression and cancer classification 6
- Biomedical Text Mining and Ontologies 5
- Genomics and Phylogenetic Studies 2
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- Semantic Web and Ontologies 2
- Co-authors
- Bart De Moor (9 shared papers)Yves Moreau (8 shared papers)Peter Van Loo (4 shared papers)Léon-Charles Tranchevent (4 shared papers)Stein Aerts (3 shared papers)Frederik De Smet (1 shared paper)Bassem A. Hassan (1 shared paper)Peter Marynen (1 shared paper)
In The Last Decade
Bert Coessens
12 papers receiving 1.0k citations
Bert Coessens's Hit Papers
Peers
Comparison fields: 5 of 88
- Molecular Biology 759
- Genetics 264
- Cancer Research 55
- Computational Theory and Mathematics 57
- Aging 3
Countries citing papers authored by Bert Coessens
This map shows the geographic impact of Bert Coessens'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 Coessens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bert Coessens more than expected).
Fields of papers citing papers by Bert Coessens
This network shows the impact of papers produced by Bert Coessens. 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 Coessens. The network helps show where Bert Coessens may publish in the future.
Co-authors
The 25 scholars most cited alongside Bert Coessens, 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 | Gene prioritization through genomic data fusion Hit paper breakdown → | 2006 | 700 |
| 2 | 2008 | 169 | |
| 3 | 2004 | 54 | |
| 4 | 2003 | 47 | |
| 5 | 2010 | 24 | |
| 6 | 2003 | 13 | |
| 7 | 2007 | 12 | |
| 8 | 2003 | 2 | |
| 9 | Gene prioritization through genomic data fusion | 2008 | 2 |
| 10 | 2006 | 2 | |
| 11 | Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus | 2006 | 2 |
| 12 | 2006 | 1 |
About Bert Coessens
Bert Coessens is a scholar working on Molecular Biology, Artificial Intelligence, Genetics, Pediatrics, Perinatology and Child Health and Infectious Diseases, having authored 12 papers that have together received 1.0k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (6 papers), Biomedical Text Mining and Ontologies (5 papers), Genomics and Rare Diseases (3 papers), Genomics and Phylogenetic Studies (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Semantic Web and Ontologies (2 papers) and Prenatal Screening and Diagnostics (1 paper). The work is most often cited by research in Molecular Biology (759 citations), Genetics (264 citations), Cancer Research (55 citations), Computational Theory and Mathematics (57 citations) and Aging (3 citations). Bert Coessens has collaborated with scholars based in Belgium, Denmark and France. Frequent co-authors include Bart De Moor, Yves Moreau, Peter Van Loo, Léon-Charles Tranchevent, Stein Aerts, Frederik De Smet, Bassem A. Hassan, Peter Marynen, Sunit Maity and Peter Carmeliet. Their work appears in journals such as Nucleic Acids Research, Bioinformatics, Nature Biotechnology, Genetics in Medicine and Genome biology.
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.