Klaus Pietsch

1.3k total citations
29 papers, 749 citations indexed

About

Klaus Pietsch is a scholar working on Molecular Biology, Plant Science and Epidemiology. According to data from OpenAlex, Klaus Pietsch has authored 29 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 11 papers in Plant Science and 5 papers in Epidemiology. Recurrent topics in Klaus Pietsch's work include Identification and Quantification in Food (15 papers), Genetically Modified Organisms Research (10 papers) and CRISPR and Genetic Engineering (5 papers). Klaus Pietsch is often cited by papers focused on Identification and Quantification in Food (15 papers), Genetically Modified Organisms Research (10 papers) and CRISPR and Genetic Engineering (5 papers). Klaus Pietsch collaborates with scholars based in Germany, Switzerland and Austria. Klaus Pietsch's co-authors include Hans‐Ulrich Waiblinger, Peter Brodmann, Enno Jacobs, Stefan Ehlers, Philipp Hübner, Lutz Grohmann, Joachim Mankertz, Dirk Engelbert, Andreas Wurz and Oliver G. Opitz and has published in prestigious journals such as PLoS ONE, Microbiology and Analytical and Bioanalytical Chemistry.

In The Last Decade

Klaus Pietsch

29 papers receiving 700 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Klaus Pietsch Germany 15 494 342 118 107 100 29 749
Benjamin J. Koestler United States 18 709 1.4× 148 0.4× 89 0.8× 258 2.4× 150 1.5× 28 1.2k
Yi‐Hsiung Tseng Taiwan 14 330 0.7× 325 1.0× 30 0.3× 175 1.6× 71 0.7× 24 769
Patricia Sanchez‐Carballo Germany 13 341 0.7× 249 0.7× 87 0.7× 83 0.8× 94 0.9× 21 844
Youai Hao Canada 15 483 1.0× 153 0.4× 61 0.5× 136 1.3× 140 1.4× 19 818
B A Leonard United States 13 514 1.0× 70 0.2× 143 1.2× 281 2.6× 137 1.4× 15 1.2k
Ombeline Rossier United States 21 587 1.2× 825 2.4× 57 0.5× 186 1.7× 23 0.2× 26 1.8k
Anaïs Le Rhun Germany 11 1.5k 3.1× 181 0.5× 131 1.1× 297 2.8× 123 1.2× 14 1.7k
Sruti DebRoy United States 14 525 1.1× 1.0k 3.0× 73 0.6× 108 1.0× 21 0.2× 20 1.6k
Lionel Ferrières France 13 498 1.0× 96 0.3× 65 0.6× 363 3.4× 86 0.9× 14 996
Ethel Bayer‐Santos Brazil 17 369 0.7× 151 0.4× 299 2.5× 67 0.6× 41 0.4× 26 943

Countries citing papers authored by Klaus Pietsch

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Pietsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Pietsch

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Pietsch. A scholar is included among the top collaborators of Klaus Pietsch 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 Klaus Pietsch. Klaus Pietsch 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.
Heinz, Steffen, et al.. (2025). Development and in-house validation of two real-time PCR methods for the detection of genome-editing events in soybean FAD2 gene variants. Journal of Consumer Protection and Food Safety. 20(1). 53–62. 1 indexed citations
2.
3.
Fischer, Ulrike, et al.. (2023). DNA barcoding as new diagnostic tool to lethal plant poisoning in herbivorous mammals. PLoS ONE. 18(11). e0292275–e0292275. 3 indexed citations
4.
Pietsch, Klaus, et al.. (2020). The Barcoding Table of Animal Species (BaTAnS): a new tool to select appropriate methods for animal species identification using DNA barcoding. Molecular Biology Reports. 47(8). 6457–6461. 6 indexed citations
5.
Köppel, René, et al.. (2020). Multiplex real-time PCR for the detection and quantification of DNA from chamois, roe, deer, pork and beef. European Food Research and Technology. 246(5). 1007–1015. 13 indexed citations
6.
Köppel, René, et al.. (2014). Results of an International Interlaboratory Trial to Determine Twelve Allergens Using Real-time PCR- and ELISA-based Assays. CHIMIA International Journal for Chemistry. 68(10). 721–721. 1 indexed citations
7.
Pietsch, Klaus, et al.. (2013). Food matrix standards for the quantification of allergenic food ingredients using real-time PCR. European Food Research and Technology. 237(2). 185–197. 11 indexed citations
8.
Naue, Jana, et al.. (2012). Bite through the tent. International Journal of Legal Medicine. 126(3). 483–488. 10 indexed citations
9.
Waiblinger, Hans‐Ulrich, et al.. (2012). In-house and interlaboratory validation of a method for the extraction of DNA from pollen in honey. Journal of Consumer Protection and Food Safety. 7(3). 243–254. 20 indexed citations
10.
Pietsch, Klaus, et al.. (2012). First ring-trial validation of real-time PCR methods for the quantification of allergenic food ingredients. European Food Research and Technology. 235(4). 619–630. 17 indexed citations
11.
Grohmann, Lutz, Ulrich Busch, Sven Pecoraro, et al.. (2011). Collaborative trial validation of a construct-specific real-time PCR method for detection of genetically modified linseed event ‘CDC Triffid’ FP967. European Food Research and Technology. 232(3). 557–561. 8 indexed citations
12.
Waiblinger, Hans‐Ulrich, Lutz Grohmann, Joachim Mankertz, Dirk Engelbert, & Klaus Pietsch. (2009). A practical approach to screen for authorised and unauthorised genetically modified plants. Analytical and Bioanalytical Chemistry. 396(6). 2065–2072. 67 indexed citations
13.
Waiblinger, Hans‐Ulrich, et al.. (2007). Validation and collaborative study of a P35S and T-nos duplex real-time PCR screening method to detect genetically modified organisms in food products. European Food Research and Technology. 226(5). 1221–1228. 75 indexed citations
14.
Hübner, Philipp, et al.. (2001). Validation of PCR Methods for Quantitation of Genetically Modified Plants in Food. Journal of AOAC International. 84(6). 1855–1864. 111 indexed citations
15.
Opitz, Oliver G., et al.. (1998). Human pathogenicMycoplasmaspecies induced cytokine gene expression in Epstein-Barr Virus (EBV)-positive lymphoblastoid cell lines. Microbial Pathogenesis. 24(4). 257–262. 12 indexed citations
16.
Pietsch, Klaus, Hans‐Ulrich Waiblinger, Peter Brodmann, & Andreas Wurz. (1997). Screeningverfahren zur Identifizierung gentechnisch veränderter pflanzlicher Lebensmittel. Deutsche Lebensmittel-Rundschau. 93(2). 35–38. 49 indexed citations
17.
Opitz, Oliver G., Klaus Pietsch, Stefan Ehlers, & Enno Jacobs. (1997). Cytokine gene expression in immune mice reinfected with Mycoplasma pneumoniae: The role of T cell subsets in aggravating the inflammatory response. Immunobiology. 196(5). 575–587. 40 indexed citations
18.
Jacobs, Enno, et al.. (1996). Are outbreaks and sporadic respiratory infections byMycoplasma pneumoniae due to two distinct subtypes?. European Journal of Clinical Microbiology & Infectious Diseases. 15(1). 38–44. 29 indexed citations
19.
Pietsch, Klaus, Stefan Ehlers, & Enno Jacobs. (1994). Cytokine gene expression in the lungs of BALB/c mice during primary and secondary intranasal infection with Mycoplasma pneumoniae. Microbiology. 140(8). 2043–2048. 50 indexed citations
20.
Pietsch, Klaus & Enno Jacobs. (1993). Characterization of the cellular response of spleen cells in BALB/c mice inoculated with Mycoplasma pneumoniae or the P1 protein. Medical Microbiology and Immunology. 182(2). 77–85. 13 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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