Luc Bijnens
- Molecular Biology top 10%
- Surgery top 10%
- Oncology top 10%
- Pathology and Forensic Medicine top 5%
- Statistics and Probability top 2%
- Co-authors
- Richard SylvesterAdrian van der MeijdenMahesh ParmarAdam PawinskiC BouffiouxK. H. KurthHinrich W. H. GöhlmannOlivier Thas
- Topics
- Statistical Methods in Clinical Trials (19 papers)Gene expression and cancer classification (19 papers)Bioinformatics and Genomic Networks (9 papers)
- Partner nations
- BelgiumUnited StatesNetherlands
In The Last Decade
Luc Bijnens
77 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 156
- Molecular Biology 860
- Surgery 425
- Oncology 291
- Pathology and Forensic Medicine 243
- Statistics and Probability 201
Countries citing papers authored by Luc Bijnens
This map shows the geographic impact of Luc Bijnens'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 Luc Bijnens with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luc Bijnens more than expected).
Fields of papers citing papers by Luc Bijnens
This network shows the impact of papers produced by Luc Bijnens. 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 Luc Bijnens. The network helps show where Luc Bijnens may publish in the future.
Co-authorship network of co-authors of Luc Bijnens
This figure shows the co-authorship network connecting the top 25 collaborators of Luc Bijnens. A scholar is included among the top collaborators of Luc Bijnens 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 Luc Bijnens. Luc Bijnens is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 23 | |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 76 | |
| 6 | 102 | |
| 7 | Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R: Order-Restricted Analysis of Microarray Data | 4 |
| 8 | Selection and evaluation of gene-specific biomarkers in preclinical and clinical microarray experiments | 2 |
| 9 | Multiple contrast test for detecting monotonic dose-response relationship and FDR-adjusted confidence intervals for selected parameters in a microarray Setting | 1 |
| 10 | 12 | |
| 11 | Classification of Trends in Dose-Response Microarray Experiments Using Information Theory Selection Methods | 4 |
| 12 | 61 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 42 | |
| 16 | Application of the international scoring system (IPSS) for myelodysplastic syndromes (MDS) | 1 |
| 17 | 26 | |
| 18 | 187 | |
| 19 | The utility of birds as bioindicators: case studies in equatorial Africa | 12 |
| 20 | Efficacy of four different regimens in 64 mantle-cell lymphoma cases | 4 |
About Luc Bijnens
Luc Bijnens is a scholar working on Statistics and Probability, Forestry and Management Science and Operations Research, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (19 papers), Gene expression and cancer classification (19 papers) and Bioinformatics and Genomic Networks (9 papers). The work is most often cited by research in Statistics and Probability (201 citations), Urology (145 citations) and Pathology and Forensic Medicine (243 citations). Luc Bijnens has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Richard Sylvester, Adrian van der Meijden, Mahesh Parmar, Adam Pawinski, C Bouffioux, K. H. Kurth, Hinrich W. H. Göhlmann, Olivier Thas, Ziv Shkedy and Federico Mattiello. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Blood.
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.