Willem Talloen
- Molecular Biology
- Epidemiology top 5%
- Hepatology top 2%
- Ecology, Evolution, Behavior and Systematics top 5%
- Genetics top 10%
- Co-authors
- Hans Van DyckLuc LensHinrich W. H. GöhlmannSepp HochreiterZiv ShkedyDjork-Arné ClevertLuc BijnensStefan Van Dongen
- Topics
- Gene expression and cancer classification (23 papers)Hepatitis B Virus Studies (19 papers)Hepatitis C virus research (18 papers)
- Partner nations
- BelgiumUnited StatesUnited Kingdom
In The Last Decade
Willem Talloen
78 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 627
- Epidemiology 500
- Hepatology 449
- Ecology, Evolution, Behavior and Systematics 294
- Genetics 277
Countries citing papers authored by Willem Talloen
This map shows the geographic impact of Willem Talloen'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 Willem Talloen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Willem Talloen more than expected).
Fields of papers citing papers by Willem Talloen
This network shows the impact of papers produced by Willem Talloen. 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 Willem Talloen. The network helps show where Willem Talloen may publish in the future.
Co-authorship network of co-authors of Willem Talloen
This figure shows the co-authorship network connecting the top 25 collaborators of Willem Talloen. A scholar is included among the top collaborators of Willem Talloen 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 Willem Talloen. Willem Talloen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 14 | |
| 6 | 14 | |
| 7 | 117 | |
| 8 | The correlation threshold as a strategy for gene filtering, with application to irritable bowel syndrome and breast cancer microarray data. | 1 |
| 9 | 21 | |
| 10 | 41 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | Selection and evaluation of gene-specific biomarkers in preclinical and clinical microarray experiments | 2 |
| 14 | Multiple contrast test for detecting monotonic dose-response relationship and FDR-adjusted confidence intervals for selected parameters in a microarray Setting | 1 |
| 15 | 12 | |
| 16 | 33 | |
| 17 | 4 | |
| 18 | The use of welfare indicators to evaluate different types of stress in broilers | 2 |
| 19 | 17 | |
| 20 | Measuring Fluctuating Asymmetry for assessing broiler Welfare | 1 |
About Willem Talloen
Willem Talloen is a scholar working on Hepatology, Geometry and Topology and Epidemiology, having authored 79 papers that have together received 1.9k indexed citations. Recurring topics across this work include Gene expression and cancer classification (23 papers), Hepatitis B Virus Studies (19 papers) and Hepatitis C virus research (18 papers). The work is most often cited by research in Hepatology (449 citations), Gastroenterology (87 citations) and Ecology, Evolution, Behavior and Systematics (294 citations). Willem Talloen has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Hans Van Dyck, Luc Lens, Hinrich W. H. Göhlmann, Sepp Hochreiter, Ziv Shkedy, Djork-Arné Clevert, Luc Bijnens, Stefan Van Dongen, Adetayo Kasim and Dan Lin. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Gastroenterology.
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.