R. Schilt

1.3k total citations
51 papers, 1.1k citations indexed

About

R. Schilt is a scholar working on Animal Science and Zoology, Food Science and Molecular Biology. According to data from OpenAlex, R. Schilt has authored 51 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Animal Science and Zoology, 19 papers in Food Science and 12 papers in Molecular Biology. Recurrent topics in R. Schilt's work include Pharmacological Effects and Assays (23 papers), Pesticide Residue Analysis and Safety (19 papers) and Hormonal and reproductive studies (11 papers). R. Schilt is often cited by papers focused on Pharmacological Effects and Assays (23 papers), Pesticide Residue Analysis and Safety (19 papers) and Hormonal and reproductive studies (11 papers). R. Schilt collaborates with scholars based in Netherlands, Belgium and France. R. Schilt's co-authors include Willem Haasnoot, M.Y. Noordam, A.H. Roos, H.A. Kuiper, H. Hooijerink, D. Courtheyn, Astrid R. M. Hamers, R.W. Frei, U.A.Th. Brinkman and H.F. De Brabander 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

R. Schilt

50 papers receiving 1000 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
R. Schilt Netherlands 18 610 322 320 303 296 51 1.1k
Saskia S. Sterk Netherlands 21 438 0.7× 303 0.9× 370 1.2× 291 1.0× 523 1.8× 58 1.2k
Leendert A. van Ginkel Netherlands 19 323 0.5× 250 0.8× 310 1.0× 211 0.7× 295 1.0× 51 898
Martien L. Essers Netherlands 13 254 0.4× 173 0.5× 177 0.6× 173 0.6× 136 0.5× 21 537
Sandra Impens Belgium 15 282 0.5× 196 0.6× 286 0.9× 149 0.5× 240 0.8× 28 701
L.A. van Ginkel Netherlands 14 213 0.3× 166 0.5× 184 0.6× 144 0.5× 149 0.5× 22 495
M. C. Dumasia United Kingdom 18 337 0.6× 201 0.6× 188 0.6× 187 0.6× 570 1.9× 43 837
M Van de Wiele Belgium 9 244 0.4× 107 0.3× 144 0.5× 84 0.3× 159 0.5× 11 438
Nathalie Van Hoof Belgium 9 155 0.3× 120 0.4× 173 0.5× 111 0.4× 136 0.5× 17 469
Steven J. Stout United States 14 74 0.1× 193 0.6× 107 0.3× 309 1.0× 39 0.1× 45 786
N. Haagsma Netherlands 16 191 0.3× 165 0.5× 219 0.7× 255 0.8× 9 0.0× 49 759

Countries citing papers authored by R. Schilt

Since Specialization
Citations

This map shows the geographic impact of R. Schilt'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 R. Schilt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Schilt more than expected).

Fields of papers citing papers by R. Schilt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Schilt. 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 R. Schilt. The network helps show where R. Schilt may publish in the future.

Co-authorship network of co-authors of R. Schilt

This figure shows the co-authorship network connecting the top 25 collaborators of R. Schilt. A scholar is included among the top collaborators of R. Schilt 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 R. Schilt. R. Schilt 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.
Gerssen, Arjen, et al.. (2012). Use of nanoUPLC and trizaic nanoTile coupled to time-of-flight mass spectrometry for residues of veterinary drugs.. The Medical Journal of Australia. 196(8). 173–178. 1 indexed citations
2.
Dervilly, Gaud, Małgorzata Olejnik, Anne-Catherine Huet, et al.. (2012). Options to detect recombinant growth hormone misuse in food producing animals.. 137–142. 2 indexed citations
3.
Delahaut, Philippe, G. Huyghebaert, Evelyne Delezie, et al.. (2012). Transfer of cross-contamination levels of veterinary drugs and feed additives from feed to products of poultry origin.. 73–76. 1 indexed citations
4.
Bizec, Bruno Le, Frédérique Courant, Emmanuelle Bichon, et al.. (2006). Criteria to distinguish between natural situations and illegal use of boldenone, boldenone esters and boldione in cattle. Steroids. 71(13-14). 1078–1087. 39 indexed citations
5.
Rodenburg, Richard J., et al.. (2004). Androgenic activity in surface water samples detected using the AR-LUX assay: indications for mixture effects. Environmental Toxicology and Pharmacology. 19(2). 263–272. 30 indexed citations
6.
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
7.
Poelmans, Sofie, R. Schilt, Nathalie Van Hoof, et al.. (2003). The Possible Transformation of Phytosterols to Boldenone. Ghent University Academic Bibliography (Ghent University). 3 indexed citations
8.
Schilt, R., et al.. (1998). Pour on application of growth promoters in veal calves: analytical and histological results†. The Analyst. 123(12). 2665–2670. 21 indexed citations
9.
Schilt, R., et al.. (1998). Identification of metabolites of the anabolic steroid methandienone formed by bovine hepatocytes in vitro†. The Analyst. 123(12). 2637–2641. 10 indexed citations
10.
Kuiper, H.A., et al.. (1998). Illegal use of beta-adrenergic agonists: European Community.. Journal of Animal Science. 76(1). 195–195. 175 indexed citations
11.
Groot, Maria, et al.. (1998). Combinations of Growth Promoters in Veal Calves: Consequences for Screening and Confirmation Methods. Journal of Veterinary Medicine Series A. 45(1-10). 425–440. 39 indexed citations
12.
Schilt, R., et al.. (1998). Determination of embutramide and pentobarbital in meat and bone meal by gas chromatography-mass spectrometry†. The Analyst. 123(12). 2513–2516. 7 indexed citations
13.
Brabander, H.F. De, Katia De Wasch, L.A. van Ginkel, et al.. (1998). Multi-laboratory study of the analysis and kinetics of stanozolol and its metabolites in treated calves†. The Analyst. 123(12). 2599–2604. 28 indexed citations
14.
Schilt, R., H. Hooijerink, D. Courtheyn, & Achim Boenke. (1996). β‐Agonists in animal feed I: First intercomparison of methods of analysis for clenbuterol in animal feed materials. Food Additives & Contaminants. 13(5). 477–492. 5 indexed citations
15.
Haasnoot, Willem, et al.. (1994). Determination of fenoterol and ractopamine in urine by enzyme immunoassay. The Analyst. 119(12). 2675–2675. 59 indexed citations
16.
Hooijerink, H., et al.. (1994). Determination of beta-sympathomimetics in liver and urine by immunoaffinity chromatography and gas chromatography—mass-selective detection. Journal of Chromatography B Biomedical Sciences and Applications. 660(2). 303–313. 31 indexed citations
17.
Schilt, R., et al.. (1994). Screening of cattle urine samples for the presence of beta-agonists with a functional test: some preliminary results. The Analyst. 119(12). 2667–2667. 7 indexed citations
18.
19.
Haasnoot, Willem, et al.. (1991). Test strip enzyme immunoassays and the fast screening of nortestosterone and clenbuterol residues in urine samples at the parts per billion level. Journal of Chromatography B Biomedical Sciences and Applications. 564(2). 413–427. 23 indexed citations
20.

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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