Bert Coessens
Impact in
- Molecular Biology top 10%
- Bioinformatics and Genomic Networks
- Biomedical Text Mining and Ontologies
- Gene expression and cancer classification
- Genomics and Chromatin Dynamics
- 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 6
- Biomedical Text Mining and Ontologies 5
- Gene expression and cancer classification 4
- Genomics and Phylogenetic Studies 1
- Genetics 2
- Genomic variations and chromosomal abnormalities 1
- Co-authors
- Bart De Moor (9 shared papers)Yves Moreau (8 shared papers)Léon-Charles Tranchevent (4 shared papers)Peter Van Loo (4 shared papers)Stein Aerts (3 shared papers)Diether Lambrechts (1 shared paper)Sunit Maity (1 shared paper)Frederik De Smet (1 shared paper)
In The Last Decade
Bert Coessens
13 papers receiving 1k citations
Bert Coessens's Hit Papers
Peers
Comparison fields: 5 of 78
- Molecular Biology 680
- Genetics 259
- Cancer Research 51
- Computational Mathematics 2
- Computational Theory and Mathematics 23
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 | 714 |
| 2 | 2008 | 177 | |
| 3 | 2004 | 55 | |
| 4 | 2003 | 46 | |
| 5 | 2010 | 26 | |
| 6 | 2003 | 12 | |
| 7 | 2007 | 12 | |
| 8 | 2016 | 3 | |
| 9 | Text-based gene profiling with domain-specific views | 2003 | 2 |
| 10 | 2006 | 2 | |
| 11 | Mutual Spectral Clustering: Microarray Experiments Versus Text Corpus | 2006 | 2 |
| 12 | Gene prioritization through genomic data fusion | 2008 | 2 |
| 13 | 2006 | 1 |
About Bert Coessens
Bert Coessens is a scholar working on Molecular Biology, Genetics, Health Information Management, Information Systems and Management and Artificial Intelligence, having authored 13 papers that have together received 1.1k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (6 papers), Biomedical Text Mining and Ontologies (5 papers), Gene expression and cancer classification (4 papers), Electronic Health Records Systems (1 paper), Advanced Clustering Algorithms Research (1 paper), Genomic variations and chromosomal abnormalities (1 paper), Genomics and Phylogenetic Studies (1 paper) and Interdisciplinary Research and Collaboration (1 paper). The work is most often cited by research in Molecular Biology (680 citations), Genetics (259 citations), Cancer Research (51 citations), Computational Mathematics (2 citations) and Computational Theory and Mathematics (23 citations). Bert Coessens has collaborated with scholars based in Belgium, Canada and Denmark. Frequent co-authors include Bart De Moor, Yves Moreau, Léon-Charles Tranchevent, Peter Van Loo, Stein Aerts, Diether Lambrechts, Sunit Maity, Frederik De Smet, Bassem A. Hassan and Peter Marynen. Their work appears in journals such as Nucleic Acids Research, Cellular Oncology, Genome Medicine, Frontiers in Medicine and Bioinformatics.
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.