Katia De Wasch
- Food Science top 1%
- Animal Science and Zoology top 0.5%
- Spectroscopy top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Co-authors
- Hubert De BrabanderH.F. De BrabanderD. CourtheynBruno Le BizecSandra ImpensL. OkermanFabrice MonteauFrançois André
- Topics
- Pesticide Residue Analysis and Safety (27 papers)Pharmacological Effects and Assays (20 papers)Hormonal and reproductive studies (14 papers)
- Partner nations
- BelgiumFranceNetherlands
In The Last Decade
Katia De Wasch
51 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 108
- Food Science 732
- Animal Science and Zoology 711
- Spectroscopy 576
- Endocrinology, Diabetes and Metabolism 515
- Molecular Biology 439
Countries citing papers authored by Katia De Wasch
This map shows the geographic impact of Katia De Wasch'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 Katia De Wasch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Katia De Wasch more than expected).
Fields of papers citing papers by Katia De Wasch
This network shows the impact of papers produced by Katia De Wasch. 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 Katia De Wasch. The network helps show where Katia De Wasch may publish in the future.
Co-authorship network of co-authors of Katia De Wasch
This figure shows the co-authorship network connecting the top 25 collaborators of Katia De Wasch. A scholar is included among the top collaborators of Katia De Wasch 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 Katia De Wasch. Katia De Wasch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 8 | |
| 3 | 80 | |
| 4 | 45 | |
| 5 | Interseksualiteit bij een varken: casuïstiek en implicaties voor hormonenonderzoek. | 3 |
| 6 | 3 | |
| 7 | 15 | |
| 8 | 27 | |
| 9 | An inhibition test intended to detect and to differentiate between penicillins, cephalosporins, tetracyclines and quinolones, for use in muscle tissue from different animal species | 1 |
| 10 | 31 | |
| 11 | 29 | |
| 12 | Gas-chromatographic determination of pig plasma malondialdehyde with negative-ion chemical ionization tandem mass spectrometry detection | 1 |
| 13 | Detection of Stanozolol metabolites in bovine urine after intramuscular injection. | 5 |
| 14 | 49 | |
| 15 | 50 | |
| 16 | 38 | |
| 17 | 20 | |
| 18 | 21 | |
| 19 | 54 | |
| 20 | 14 |
About Katia De Wasch
Katia De Wasch is a scholar working on Animal Science and Zoology, Food Science and Analytical Chemistry, having authored 53 papers that have together received 2.1k indexed citations. Recurring topics across this work include Pesticide Residue Analysis and Safety (27 papers), Pharmacological Effects and Assays (20 papers) and Hormonal and reproductive studies (14 papers). The work is most often cited by research in Animal Science and Zoology (711 citations), Food Science (732 citations) and Analytical Chemistry (388 citations). Katia De Wasch has collaborated with scholars based in Belgium, France and Netherlands. Frequent co-authors include Hubert De Brabander, H.F. De Brabander, D. Courtheyn, Bruno Le Bizec, Sandra Impens, L. Okerman, Fabrice Monteau, François André, Sofie Poelmans and Jean‐Philippe Antignac. Their work appears in journals such as Journal of Chromatography A, Analytica Chimica Acta and TrAC Trends in Analytical Chemistry.
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.