L.A. van Ginkel

592 total citations
22 papers, 495 citations indexed

About

L.A. van Ginkel is a scholar working on Animal Science and Zoology, Spectroscopy and Food Science. According to data from OpenAlex, L.A. van Ginkel has authored 22 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Animal Science and Zoology, 9 papers in Spectroscopy and 8 papers in Food Science. Recurrent topics in L.A. van Ginkel's work include Pharmacological Effects and Assays (9 papers), Pesticide Residue Analysis and Safety (8 papers) and Mass Spectrometry Techniques and Applications (8 papers). L.A. van Ginkel is often cited by papers focused on Pharmacological Effects and Assays (9 papers), Pesticide Residue Analysis and Safety (8 papers) and Mass Spectrometry Techniques and Applications (8 papers). L.A. van Ginkel collaborates with scholars based in Netherlands, Belgium and United States. L.A. van Ginkel's co-authors include R.W. Stephany, Saskia S. Sterk, Marco Blokland, Katia De Wasch, R. Schilt, H.F. De Brabander, A.A.M. Stolker, P.R. Kootstra, D. Courtheyn and Sofie Poelmans and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Journal of Chromatography A and Analytica Chimica Acta.

In The Last Decade

L.A. van Ginkel

21 papers receiving 472 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
L.A. van Ginkel Netherlands 14 213 184 166 149 144 22 495
Sandra Impens Belgium 15 282 1.3× 286 1.6× 196 1.2× 240 1.6× 149 1.0× 28 701
M Van de Wiele Belgium 9 244 1.1× 144 0.8× 107 0.6× 159 1.1× 84 0.6× 11 438
Nathalie Van Hoof Belgium 9 155 0.7× 173 0.9× 120 0.7× 136 0.9× 111 0.8× 17 469
E.O. van Bennekom Netherlands 10 162 0.8× 161 0.9× 96 0.6× 130 0.9× 86 0.6× 13 372
E. Lyris Greece 10 83 0.4× 104 0.6× 148 0.9× 180 1.2× 66 0.5× 13 356
Henri H. Heskamp Netherlands 13 127 0.6× 104 0.6× 76 0.5× 90 0.6× 118 0.8× 19 406
James Scarth United Kingdom 14 161 0.8× 94 0.5× 80 0.5× 320 2.1× 112 0.8× 36 535
W. Luf Austria 13 146 0.7× 123 0.7× 50 0.3× 72 0.5× 206 1.4× 22 536
Joan Stevens United States 10 62 0.3× 141 0.8× 132 0.8× 9 0.1× 89 0.6× 21 373
Tung Sun United States 9 43 0.2× 48 0.3× 78 0.5× 40 0.3× 119 0.8× 11 352

Countries citing papers authored by L.A. van Ginkel

Since Specialization
Citations

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

Fields of papers citing papers by L.A. van Ginkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.A. van Ginkel. 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 L.A. van Ginkel. The network helps show where L.A. van Ginkel may publish in the future.

Co-authorship network of co-authors of L.A. van Ginkel

This figure shows the co-authorship network connecting the top 25 collaborators of L.A. van Ginkel. A scholar is included among the top collaborators of L.A. van Ginkel 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 L.A. van Ginkel. L.A. van Ginkel 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.
2.
Blokland, Marco, et al.. (2017). Applicability of an innovative steroid-profiling method to determine synthetic growth promoter abuse in cattle. The Journal of Steroid Biochemistry and Molecular Biology. 174. 265–275. 14 indexed citations
3.
4.
Scholtens, Ingrid M. J., et al.. (2017). Evaluation of a loop-mediated isothermal amplification (LAMP) method for rapid on-site detection of horse meat. Food Control. 81. 9–15. 20 indexed citations
5.
Blokland, Marco, et al.. (2015). Monolith immuno-affinity enrichment liquid chromatography tandem mass spectrometry for quantitative protein analysis of recombinant bovine somatotropin in serum. Analytical and Bioanalytical Chemistry. 407(20). 6041–6050. 22 indexed citations
6.
Regal, Patricia, Marco Blokland, C. Fente, et al.. (2014). Evaluation of the Discriminative Potential of a Novel Biomarker for Estradiol Treatments in Bovine Animals. Journal of Agricultural and Food Chemistry. 63(1). 370–378. 4 indexed citations
7.
Stolker, A.A.M., et al.. (2014). Kruiscontaminatie van antibiotica : onderzoek naar de aanwezigheid van antibioticaresiduen in mest van vleesvarkens en vleeskalveren en op pluimveebedrijven. Socio-Environmental Systems Modeling. 1 indexed citations
8.
Blokland, Marco, et al.. (2008). Confirmatory analysis of Trenbolone using accurate mass measurement with LC/TOF-MS. Analytica Chimica Acta. 618(1). 86–93. 19 indexed citations
9.
Blokland, Marco, et al.. (2006). Development of a method which discriminates between endogenous and exogenous β-boldenone. Analytica Chimica Acta. 586(1-2). 147–153. 16 indexed citations
10.
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
11.
Kootstra, P.R., et al.. (2004). The analysis of beta-agonists in bovine muscle using molecular imprinted polymers with ion trap LCMS screening. Analytica Chimica Acta. 529(1-2). 75–81. 84 indexed citations
12.
Blokland, Marco, Saskia S. Sterk, L.A. van Ginkel, R.W. Stephany, & Albert J. R. Heck. (2003). Analysis for endogenous and recombinant porcine somatotropine in serum. Analytica Chimica Acta. 483(1-2). 201–206. 8 indexed citations
13.
Poelmans, Sofie, Katia De Wasch, H.F. De Brabander, et al.. (2002). Analytical possibilities for the detection of stanozolol and its metabolites. Analytica Chimica Acta. 473(1-2). 39–47. 46 indexed citations
14.
Stolker, A.A.M., R.W. Stephany, & L.A. van Ginkel. (2000). Identification of residues by LC-MS. The application of new EU guidelines. Analusis. 28(10). 947–951. 37 indexed citations
15.
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
16.
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
17.
Arts, C.J.M., R. Schilt, Marijke Schreurs, & L.A. van Ginkel. (1996). Boldenone is a naturally occurring (anabolic) steroid in cattle. Socio-Environmental Systems Modeling. 212–217. 12 indexed citations
18.
19.
Visser, Taco D., et al.. (1993). Cryotrapping gas chromatography-fourier transform infrared spectrometry: a new technique to confirm the presence of β-agonists in animal material. Analytica Chimica Acta. 275(1-2). 205–214. 16 indexed citations
20.
Ginkel, L.A. van, et al.. (1988). Natuurlijke androgenen, oestrogenen en progestagenen in bloed, urine en faeces van jonge runderen : een literatuurstudie. Rivm (National Institute for Public Health and the Environment). 1 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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