Gaby van Galen
- Equine top 0.5%
- Molecular Biology
- Clinical Biochemistry top 5%
- Cell Biology top 10%
- Surgery
- Co-authors
- Dominique VotionClaude SaegermanDidier SerteynDenis VerwilghenCatherine DelgusteAxel Kornerup HansenDennis Sandris NielsenŁukasz Krych
- Topics
- Veterinary Equine Medical Research (34 papers)Muscle metabolism and nutrition (7 papers)Metabolism and Genetic Disorders (6 papers)
In The Last Decade
Gaby van Galen
66 papers receiving 707 citations
Peers
Comparison fields: 5 of 99
- Equine 222
- Molecular Biology 179
- Clinical Biochemistry 145
- Cell Biology 139
- Surgery 105
Countries citing papers authored by Gaby van Galen
This map shows the geographic impact of Gaby van Galen'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 Gaby van Galen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaby van Galen more than expected).
Fields of papers citing papers by Gaby van Galen
This network shows the impact of papers produced by Gaby van Galen. 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 Gaby van Galen. The network helps show where Gaby van Galen may publish in the future.
Co-authorship network of co-authors of Gaby van Galen
This figure shows the co-authorship network connecting the top 25 collaborators of Gaby van Galen. A scholar is included among the top collaborators of Gaby van Galen 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 Gaby van Galen. Gaby van Galen 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 | 0 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | 41 | |
| 11 | Gestion des cas, traitement et prévention chez les compagnons de pâture lors de myopathie atypique | 2 |
| 12 | 3 | |
| 13 | The diagnostic value of equine rectal and duodenal biopsies. | 1 |
| 14 | assessment of acid base imbalances in horses suffering from atypical myopathy | 2 |
| 15 | Equine Emerging Diseases | 0 |
| 16 | 31 | |
| 17 | Equine tendonitis: a review on current therapies. Part 2. | 1 |
| 18 | Evaluation of sedation depth and quality of performed procedures following administration of α2-agonists combined or not with butorphanol in horses. | 1 |
| 19 | 8 | |
| 20 | 54 |
About Gaby van Galen
Gaby van Galen is a scholar working on Equine, Small Animals and Clinical Biochemistry, having authored 77 papers that have together received 732 indexed citations. Recurring topics across this work include Veterinary Equine Medical Research (34 papers), Muscle metabolism and nutrition (7 papers) and Metabolism and Genetic Disorders (6 papers). The work is most often cited by research in Equine (222 citations), Clinical Biochemistry (145 citations) and Small Animals (83 citations). Gaby van Galen has collaborated with scholars based in Belgium, Australia and Denmark. Frequent co-authors include Dominique Votion, Claude Saegerman, Didier Serteyn, Denis Verwilghen, Catherine Delguste, Axel Kornerup Hansen, Dennis Sandris Nielsen, Łukasz Krych, Hélène Amory and Hanne Frøkiær. Their work appears in journals such as PLoS ONE, Scientific Reports and Frontiers in Microbiology.
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.