Katia De Wasch

2.4k total citations
53 papers, 2.1k citations indexed

About

Katia De Wasch is a scholar working on Food Science, Animal Science and Zoology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Katia De Wasch has authored 53 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Food Science, 23 papers in Animal Science and Zoology and 14 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Katia De Wasch's work include Pesticide Residue Analysis and Safety (27 papers), Pharmacological Effects and Assays (20 papers) and Hormonal and reproductive studies (14 papers). Katia De Wasch is often cited by papers focused on Pesticide Residue Analysis and Safety (27 papers), Pharmacological Effects and Assays (20 papers) and Hormonal and reproductive studies (14 papers). Katia De Wasch collaborates with scholars based in Belgium, France and Netherlands. Katia De Wasch's 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 and has published in prestigious journals such as Journal of Chromatography A, Analytica Chimica Acta and TrAC Trends in Analytical Chemistry.

In The Last Decade

Katia De Wasch

51 papers receiving 2.0k citations

Peers

Katia De Wasch
Hubert De Brabander Belgium
A.A.M. Stolker Netherlands
J.A. van Rhijn Netherlands
D. Courtheyn Belgium
R.W. Stephany Netherlands
Roberta Galarini Italy
Anton Kaufmann Switzerland
Jan Żmudzki Poland
Gaud Dervilly France
Maurizio Fiori Italy
Hubert De Brabander Belgium
Katia De Wasch
Citations per year, relative to Katia De Wasch Katia De Wasch (= 1×) peers Hubert De Brabander

Countries citing papers authored by Katia De Wasch

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Noppe, H., Katrien Arijs, Katia De Wasch, et al.. (2006). Biological and Chemical Approaches for the Detection and Identification of Illegal Estrogens in Water-based Solutions. Veterinary Research Communications. 30(6). 577–585. 1 indexed citations
2.
Poelmans, Sofie, Katia De Wasch, H. Noppe, et al.. (2005). Androstadienetrione, a boldenone-like component, detected in cattle faeces with GC-MSnand LC-MSn. Food Additives & Contaminants. 22(9). 798–807. 8 indexed citations
3.
Brabander, H.F. De, Sofie Poelmans, R. Schilt, et al.. (2004). Presence and metabolism of the anabolic steroid boldenone in various animal species: a review. Food Additives & Contaminants. 21(6). 515–525. 80 indexed citations
4.
Hoof, Nathalie Van, Katia De Wasch, Sofie Poelmans, H. Noppe, & Hubert De Brabander. (2004). Multi‐residue liquid chromatography/tandem mass spectrometry method for the detection of non‐steroidal anti‐inflammatory drugs in bovine muscle: optimisation of ion trap parameters. Rapid Communications in Mass Spectrometry. 18(23). 2823–2829. 45 indexed citations
5.
Cruchten, Steven Van, et al.. (2002). Interseksualiteit bij een varken: casuïstiek en implicaties voor hormonenonderzoek.. Vlaams Diergeneeskundig Tijdschrift. 71. 411–418. 3 indexed citations
6.
Cruchten, Steven Van, et al.. (2002). Intersexuality in a pig: implications for hormonal research. Vlaams Diergeneeskundig Tijdschrift. 71(6). 3 indexed citations
7.
Impens, Sandra, Katia De Wasch, & Hubert De Brabander. (2001). Determination of anabolic steroids with gas chromatography–ion trap mass spectrometry using hydrogen as carrier gas. Rapid Communications in Mass Spectrometry. 15(24). 2409–2414. 15 indexed citations
8.
Wasch, Katia De, Bruno Le Bizec, Hubert De Brabander, François André, & Sandra Impens. (2001). Consequence of boar edible tissue consumption on urinary profiles of nandrolone metabolites. II. Identification and quantification of 19‐norsteroids responsible for 19‐norandrosterone and 19‐noretiocholanolone excretion in human urine. Rapid Communications in Mass Spectrometry. 15(16). 1442–1447. 27 indexed citations
9.
Wasch, Katia De, et al.. (2000). An inhibition test intended to detect and to differentiate between penicillins, cephalosporins, tetracyclines and quinolones, for use in muscle tissue from different animal species. Ghent University Academic Bibliography (Ghent University). 1 indexed citations
10.
11.
Wiele, M Van de, et al.. (2000). Determination of 16β-hydroxystanozolol in urine and faeces by liquid chromatography–multiple mass spectrometry. Journal of Chromatography A. 904(2). 203–209. 29 indexed citations
12.
Wasch, Katia De, et al.. (1999). Gas-chromatographic determination of pig plasma malondialdehyde with negative-ion chemical ionization tandem mass spectrometry detection. Archiv für Lebensmittelhygiene. 50(2). 41–43. 1 indexed citations
13.
Delahaut, Philippe, et al.. (1998). Detection of Stanozolol metabolites in bovine urine after intramuscular injection.. Ghent University Academic Bibliography (Ghent University). 5 indexed citations
14.
Okerman, L., Katia De Wasch, & Jan Van Hoof. (1998). Detection of antibiotics in muscle tissue with microbiological inhibition tests: effects of the matrix. The Analyst. 123(11). 2361–2365. 49 indexed citations
15.
Wasch, Katia De, et al.. (1998). LC-MS-MS to detect and identify four beta-agonists and quantify clenbuterol in liver†. The Analyst. 123(12). 2701–2705. 50 indexed citations
16.
17.
Wasch, Katia De, et al.. (1998). Confirmation of residues of thyreostatic drugs in thyroid glands by multiple mass spectrometry after thin-layer chromatographic screening. Journal of Chromatography A. 819(1-2). 99–111. 20 indexed citations
18.
Brabander, H.F. De, et al.. (1996). Comparison of the possibilities of gas chromatography-mass spectrometry and tandem mass spectrometry systems for the analysis of anabolics in biological material. Journal of Chromatography A. 750(1-2). 105–114. 21 indexed citations
19.
Brabander, H.F. De, et al.. (1996). Rapid and high-performance analysis of thyreostatic drug residues in urine using gas chromatography-mass spectrometry. Journal of Chromatography A. 750(1-2). 127–132. 54 indexed citations
20.
Courtheyn, D., et al.. (1996). Gas chromatographic-tandem mass spectrometric analysis of clenbuterol residues in faeces. Journal of Chromatography A. 750(1-2). 133–139. 14 indexed citations

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.

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