Carolin S. Stachel

550 total citations
20 papers, 472 citations indexed

About

Carolin S. Stachel is a scholar working on Food Science, Animal Science and Zoology and Pharmacology. According to data from OpenAlex, Carolin S. Stachel has authored 20 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Food Science, 8 papers in Animal Science and Zoology and 7 papers in Pharmacology. Recurrent topics in Carolin S. Stachel's work include Pesticide Residue Analysis and Safety (18 papers), Pharmacological Effects and Assays (8 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Carolin S. Stachel is often cited by papers focused on Pesticide Residue Analysis and Safety (18 papers), Pharmacological Effects and Assays (8 papers) and Antibiotics Pharmacokinetics and Efficacy (6 papers). Carolin S. Stachel collaborates with scholars based in Germany. Carolin S. Stachel's co-authors include Petra Gowik and Kathrin Schmidt and has published in prestigious journals such as Journal of Chromatography A, Analytica Chimica Acta and Analytical and Bioanalytical Chemistry.

In The Last Decade

Carolin S. Stachel

20 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carolin S. Stachel Germany 12 275 164 137 124 92 20 472
Y.J.C. Bolck Netherlands 6 242 0.9× 137 0.8× 126 0.9× 126 1.0× 67 0.7× 7 373
Pak-Sin Chu United States 10 243 0.9× 114 0.7× 91 0.7× 117 0.9× 80 0.9× 17 473
Edward Malone Ireland 14 300 1.1× 250 1.5× 196 1.4× 152 1.2× 192 2.1× 19 614
K. Granelli Sweden 11 242 0.9× 142 0.9× 93 0.7× 135 1.1× 85 0.9× 12 569
Teresa Szprengier–Juszkiewicz Poland 13 216 0.8× 291 1.8× 96 0.7× 108 0.9× 114 1.2× 35 617
Małgorzata Olejnik Poland 14 211 0.8× 312 1.9× 93 0.7× 99 0.8× 123 1.3× 47 581
Helen Cantwell Ireland 8 294 1.1× 164 1.0× 102 0.7× 100 0.8× 132 1.4× 9 442
L. Kovacsics United Kingdom 5 204 0.7× 133 0.8× 81 0.6× 41 0.3× 112 1.2× 5 405
Yumi Akiyama Japan 13 243 0.9× 79 0.5× 108 0.8× 45 0.4× 144 1.6× 33 453
M.M. Aguilera-Luiz Spain 9 509 1.9× 168 1.0× 166 1.2× 195 1.6× 224 2.4× 9 698

Countries citing papers authored by Carolin S. Stachel

Since Specialization
Citations

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

Fields of papers citing papers by Carolin S. Stachel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carolin S. Stachel. 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 Carolin S. Stachel. The network helps show where Carolin S. Stachel may publish in the future.

Co-authorship network of co-authors of Carolin S. Stachel

This figure shows the co-authorship network connecting the top 25 collaborators of Carolin S. Stachel. A scholar is included among the top collaborators of Carolin S. Stachel 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 Carolin S. Stachel. Carolin S. Stachel 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.
Stachel, Carolin S., et al.. (2013). Hair testing for residue control in foodproducing animals – A pilot study on six beta-agonists in cattle. Archiv für Lebensmittelhygiene. 64(2). 1 indexed citations
2.
Schmidt, Kathrin & Carolin S. Stachel. (2013). In-house validation and factorial effect analysis of a liquid chromatography–tandem mass spectrometry method for the determination of corticosteroids in bovine and porcine muscle tissue. Analytical and Bioanalytical Chemistry. 405(19). 6287–6297. 4 indexed citations
3.
Schmidt, Kathrin & Carolin S. Stachel. (2013). In-house validation and factorial effect analysis of a LC-MS/MS method for the determination of steroids in bovine and porcine blood plasma. Food Additives & Contaminants Part A. 30(6). 1027–1036. 5 indexed citations
4.
Stachel, Carolin S., et al.. (2013). Validation of a method for the determination of aminoglycosides in different matrices and species based on an in-house concept. Food Additives & Contaminants Part A. 30(6). 1037–1043. 20 indexed citations
5.
Stachel, Carolin S., et al.. (2013). Development and validation of a confirmatory method for the determination of tranquilisers and a β-blocker in porcine and bovine kidney by LC-MS/MS. Food Additives & Contaminants Part A. 30(6). 1000–1011. 10 indexed citations
6.
Stachel, Carolin S., et al.. (2012). Validation of a multi-residue method for the determination of several antibiotic groups in honey by LC-MS/MS. Analytical and Bioanalytical Chemistry. 403(10). 2943–2953. 49 indexed citations
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8.
Stachel, Carolin S., et al.. (2011). Confirmatory method for the determination of streptomycin and dihydrostreptomycin in honey by LC–MS/MS. Food Additives & Contaminants Part A. 29(2). 189–196. 23 indexed citations
9.
Stachel, Carolin S., et al.. (2011). Preparation and characterisation of in-house reference material of tylosin in honey and results of a proficiency test. Analytica Chimica Acta. 700(1-2). 58–62. 6 indexed citations
10.
Stachel, Carolin S., et al.. (2011). Validated Determination of Eight Antibiotic Substance Groups in Cattle and Pig Muscle by HPLC/MS/MS. Journal of AOAC International. 94(2). 407–419. 11 indexed citations
11.
Stachel, Carolin S., et al.. (2010). Confirmatory method for the determination of streptomycin in apples by LC–MS/MS. Analytica Chimica Acta. 672(1-2). 103–106. 45 indexed citations
12.
Stachel, Carolin S., et al.. (2009). Multi-method for the determination of antibiotics of different substance groups in milk and validation in accordance with Commission Decision 2002/657/EC. Journal of Chromatography A. 1216(46). 8217–8223. 75 indexed citations
13.
Schmidt, Kathrin, Carolin S. Stachel, & Petra Gowik. (2008). Development and in-house validation of an LC-MS/MS method for the determination of stilbenes and resorcylic acid lactones in bovine urine. Analytical and Bioanalytical Chemistry. 391(4). 1199–1210. 39 indexed citations
14.
Schmidt, Kathrin, Carolin S. Stachel, & Petra Gowik. (2008). In-house validation and factorial effect analysis of a liquid chromatography–tandem mass spectrometry method for the determination of steroids in bovine muscle. Analytica Chimica Acta. 637(1-2). 156–164. 14 indexed citations
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Stachel, Carolin S., et al.. (2006). Determination of chloramphenicol residues in crustaceans: Preparation and evaluation of a proficiency test in Germany. Food Additives & Contaminants. 23(11). 1132–1140. 9 indexed citations
18.
Stachel, Carolin S., et al.. (2004). Treatment of turkeys with nitroimidazoles. Analytica Chimica Acta. 521(2). 189–200. 41 indexed citations
19.
Stachel, Carolin S., et al.. (2003). Zilpaterol—a new focus of concern in residue analysis. Analytica Chimica Acta. 493(1). 63–67. 24 indexed citations
20.
Stachel, Carolin S., et al.. (1995). In vitro Catabolism of very low density lipoproteins from horse (Equus caballus) by the action of autologous lipoprotein lipase. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 112(1). 137–146. 5 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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