Frederique Van de Velde
- Epidemiology
- Hepatology top 10%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Cardiology and Cardiovascular Medicine
- Co-authors
- Bruno LapauwAnja GeertsAnne HoorensYves Van NieuwenhoveXavier VerhelstLindsey DevisscherSander LefereHans Van Vlierberghe
- Topics
- Liver Disease Diagnosis and Treatment (8 papers)Lipid metabolism and disorders (5 papers)Adipose Tissue and Metabolism (4 papers)
In The Last Decade
Frederique Van de Velde
17 papers receiving 357 citations
Peers
Comparison fields: 5 of 58
- Epidemiology 218
- Hepatology 101
- Molecular Biology 97
- Endocrinology, Diabetes and Metabolism 82
- Cardiology and Cardiovascular Medicine 68
Countries citing papers authored by Frederique Van de Velde
This map shows the geographic impact of Frederique Van de Velde'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 Frederique Van de Velde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Frederique Van de Velde more than expected).
Fields of papers citing papers by Frederique Van de Velde
This network shows the impact of papers produced by Frederique Van de Velde. 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 Frederique Van de Velde. The network helps show where Frederique Van de Velde may publish in the future.
Co-authorship network of co-authors of Frederique Van de Velde
This figure shows the co-authorship network connecting the top 25 collaborators of Frederique Van de Velde. A scholar is included among the top collaborators of Frederique Van de Velde 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 Frederique Van de Velde. Frederique Van de Velde 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 | 47 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 27 | |
| 8 | 16 | |
| 9 | 31 | |
| 10 | 8 | |
| 11 | 8 | |
| 12 | Angiopoietin-2 as therapeutic target for pathological angiogenesis and inflammation in non-alcoholic steatohepatitis | 2 |
| 13 | 16 | |
| 14 | 4 | |
| 15 | 14 | |
| 16 | 101 | |
| 17 | 43 | |
| 18 | 25 |
About Frederique Van de Velde
Frederique Van de Velde is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 18 papers that have together received 365 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (8 papers), Lipid metabolism and disorders (5 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Hepatology (101 citations), Epidemiology (218 citations) and Endocrinology, Diabetes and Metabolism (82 citations). Frederique Van de Velde has collaborated with scholars based in Belgium, Germany and Norway. Frequent co-authors include Bruno Lapauw, Anja Geerts, Anne Hoorens, Yves Van Nieuwenhove, Xavier Verhelst, Lindsey Devisscher, Sander Lefere, Hans Van Vlierberghe, Christophe Van Steenkiste and D. Margriet Ouwens. Their work appears in journals such as Hepatology, International Journal of Molecular Sciences and Journal of Hepatology.
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.