Roland C. Perz

453 total citations
8 papers, 341 citations indexed

About

Roland C. Perz is a scholar working on Food Science, Molecular Biology and Spectroscopy. According to data from OpenAlex, Roland C. Perz has authored 8 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Food Science, 2 papers in Molecular Biology and 2 papers in Spectroscopy. Recurrent topics in Roland C. Perz's work include Pesticide Residue Analysis and Safety (3 papers), Probiotics and Fermented Foods (3 papers) and Bacillus and Francisella bacterial research (2 papers). Roland C. Perz is often cited by papers focused on Pesticide Residue Analysis and Safety (3 papers), Probiotics and Fermented Foods (3 papers) and Bacillus and Francisella bacterial research (2 papers). Roland C. Perz collaborates with scholars based in Germany and China. Roland C. Perz's co-authors include Rüdiger Weißhaar, Dirk W. Lachenmeier, Constanze Sproll, Wolfgang Schwack, Jörg Rau, Matthias Contzen, Bolun Yang, Holger Schulze, Yaodong Zhang and Till T. Bachmann and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, European Food Research and Technology and European Journal of Lipid Science and Technology.

In The Last Decade

Roland C. Perz

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roland C. Perz Germany 6 119 103 77 71 70 8 341
María del Mar Caja Spain 10 112 0.9× 70 0.7× 81 1.1× 88 1.2× 92 1.3× 23 395
Khaled M. Mohamed Egypt 15 51 0.4× 90 0.9× 56 0.7× 155 2.2× 41 0.6× 42 462
Winfried Ruge Germany 8 110 0.9× 25 0.2× 60 0.8× 76 1.1× 41 0.6× 10 354
Samo Andrenšek Slovenia 11 105 0.9× 23 0.2× 61 0.8× 68 1.0× 56 0.8× 16 362
Viktor Drgan Slovenia 10 76 0.6× 48 0.5× 84 1.1× 102 1.4× 53 0.8× 19 351
Oliver Tenberken Germany 8 79 0.7× 32 0.3× 121 1.6× 61 0.9× 137 2.0× 8 390
M. Bustamante-Rangel Spain 15 98 0.8× 88 0.9× 113 1.5× 120 1.7× 124 1.8× 26 578
Mariele Martini Brazil 13 74 0.6× 18 0.2× 66 0.9× 68 1.0× 48 0.7× 24 435
Marius Febi Matei Germany 14 152 1.3× 50 0.5× 48 0.6× 140 2.0× 57 0.8× 16 582

Countries citing papers authored by Roland C. Perz

Since Specialization
Citations

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

Fields of papers citing papers by Roland C. Perz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roland C. Perz. 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 Roland C. Perz. The network helps show where Roland C. Perz may publish in the future.

Co-authorship network of co-authors of Roland C. Perz

This figure shows the co-authorship network connecting the top 25 collaborators of Roland C. Perz. A scholar is included among the top collaborators of Roland C. Perz 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 Roland C. Perz. Roland C. Perz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Weißhaar, Rüdiger & Roland C. Perz. (2010). Fatty acid esters of glycidol in refined fats and oils. European Journal of Lipid Science and Technology. 112(2). 158–165. 161 indexed citations
2.
Rau, Jörg, et al.. (2009). Cereulidbildende präsumtive Bacillus cereus aus Lebensmitteln Differenzierende Untersuchungen mittels kultureller Methoden, LC-MS/MS, PCR und Infrarotspektroskopie unter Berücksichtigung thermotoleranter Vertreter. Berliner und Münchener tierärztliche Wochenschrift. 122. 1 indexed citations
3.
Rau, Jörg, et al.. (2009). [Cereulide forming presumptive Bacillus cereus strains from food--differentiating analyses using cultural methods, LC-MS/MS, PCR, and infrared spectroscopy in consideration of thermotolerant isolates].. PubMed. 122(1-2). 25–36. 21 indexed citations
4.
Perz, Roland C., et al.. (2007). Opiate in Speisemohn - ein Problem der Globalisierung des Handels?. Deutsche Lebensmittel-Rundschau. 103(5). 193–196. 1 indexed citations
5.
Sproll, Constanze, et al.. (2006). Guidelines for reduction of morphine in poppy seed intended for food purposes. European Food Research and Technology. 226(1-2). 307–310. 20 indexed citations
6.
Sproll, Constanze, Roland C. Perz, & Dirk W. Lachenmeier. (2006). Optimized LC/MS/MS Analysis of Morphine and Codeine in Poppy Seed and Evaluation of Their Fate during Food Processing as a Basis for Risk Analysis. Journal of Agricultural and Food Chemistry. 54(15). 5292–5298. 53 indexed citations
7.
Zhang, Yaodong, Holger Schulze, Roland C. Perz, et al.. (2005). Disposable Biosensor Test for Organophosphate and Carbamate Insecticides in Milk. Journal of Agricultural and Food Chemistry. 53(13). 5110–5115. 36 indexed citations
8.
Perz, Roland C., et al.. (2000). CS2 Blinds in Brassica Crops:  False Positive Results in the Dithiocarbamate Residue Analysis by the Acid Digestion Method. Journal of Agricultural and Food Chemistry. 48(3). 792–796. 48 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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