Wouter Laroy
Impact in
- Hepatology top 5%
- Immunology top 10%
- Galectins and Cancer Biology
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 20
- Co-authors
- Roland Contreras (17 shared papers)Nico Callewaert (13 shared papers)Annelies Van Hecke (4 shared papers)Joris Delanghe (2 shared papers)Hans Van Vlierberghe (2 shared papers)Ronald L. Schnaar (5 shared papers)Valerie Vanhooren (3 shared papers)Claude Libert (4 shared papers)
- Journals
- Glycobiology (3 papers)Analytical Biochemistry (2 papers)Hepatology (2 papers)Biomarkers in Medicine (2 papers)Biogerontology (1 paper)
- Partner nations
- BelgiumUnited StatesSwitzerland
In The Last Decade
Wouter Laroy
32 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 96
- Hepatology 225
- Immunology 330
- Molecular Biology 995
- Epidemiology 393
- Cell Biology 168
Countries citing papers authored by Wouter Laroy
This map shows the geographic impact of Wouter Laroy'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 Wouter Laroy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wouter Laroy more than expected).
Fields of papers citing papers by Wouter Laroy
This network shows the impact of papers produced by Wouter Laroy. 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 Wouter Laroy. The network helps show where Wouter Laroy may publish in the future.
Co-authors
The 25 scholars most cited alongside Wouter Laroy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 339 | |
| 2 | 2006 | 148 | |
| 3 | 2002 | 145 | |
| 4 | 2007 | 141 | |
| 5 | 2008 | 118 | |
| 6 | 2009 | 96 | |
| 7 | 2007 | 95 | |
| 8 | 2002 | 62 | |
| 9 | 2001 | 56 | |
| 10 | 2008 | 50 | |
| 11 | 2013 | 46 | |
| 12 | 2006 | 45 | |
| 13 | 2008 | 43 | |
| 14 | 2002 | 41 | |
| 15 | 2008 | 37 | |
| 16 | 2002 | 25 | |
| 17 | 2006 | 25 | |
| 18 | 2007 | 25 | |
| 19 | 2014 | 23 | |
| 20 | 2000 | 16 |
About Wouter Laroy
Wouter Laroy is a scholar working on Immunology and Allergy, Molecular Biology, Epidemiology, Hepatology and Biotechnology, having authored 32 papers that have together received 1.7k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (20 papers), Liver Disease Diagnosis and Treatment (6 papers), Carbohydrate Chemistry and Synthesis (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Trypanosoma species research and implications (4 papers), Pancreatic function and diabetes (2 papers), Hereditary Neurological Disorders (2 papers) and Galectins and Cancer Biology (2 papers). The work is most often cited by research in Hepatology (225 citations), Immunology (330 citations), Molecular Biology (995 citations), Epidemiology (393 citations) and Cell Biology (168 citations). Wouter Laroy has collaborated with scholars based in Belgium, United States and Switzerland. Frequent co-authors include Roland Contreras, Nico Callewaert, Annelies Van Hecke, Joris Delanghe, Hans Van Vlierberghe, Ronald L. Schnaar, Valerie Vanhooren, Claude Libert, Cuiying Chen and Sylviane Dewaele. Their work appears in journals such as Glycobiology, Analytical Biochemistry, Hepatology, Biomarkers in Medicine and Biogerontology.
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.