Karl‐Erik Hellenäs

2.3k total citations
39 papers, 1.8k citations indexed

About

Karl‐Erik Hellenäs is a scholar working on Food Science, Plant Science and Molecular Biology. According to data from OpenAlex, Karl‐Erik Hellenäs has authored 39 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Food Science, 9 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Karl‐Erik Hellenäs's work include Potato Plant Research (16 papers), Plant Pathogens and Resistance (8 papers) and Pharmacological Effects and Assays (7 papers). Karl‐Erik Hellenäs is often cited by papers focused on Potato Plant Research (16 papers), Plant Pathogens and Resistance (8 papers) and Pharmacological Effects and Assays (7 papers). Karl‐Erik Hellenäs collaborates with scholars based in Sweden, United States and Netherlands. Karl‐Erik Hellenäs's co-authors include Johan Rosén, Premysl Slanina, Madelene Johansson, Anders Glynn, Ylva Lind, Kettil Svensson, Wulf Becker, Jana Hajšlová, Věra Schulzová and Lilianne Abramsson-Zetterberg and has published in prestigious journals such as The Science of The Total Environment, Journal of Agricultural and Food Chemistry and Journal of Chromatography A.

In The Last Decade

Karl‐Erik Hellenäs

39 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Karl‐Erik Hellenäs Sweden 22 1.1k 764 356 157 128 39 1.8k
Johan Rosén Sweden 22 1.5k 1.3× 876 1.1× 262 0.7× 99 0.6× 93 0.7× 31 2.1k
Alessandra Fratianni Italy 27 749 0.7× 633 0.8× 432 1.2× 93 0.6× 52 0.4× 51 2.0k
Larry M. Seitz United States 24 474 0.4× 991 1.3× 225 0.6× 126 0.8× 85 0.7× 55 2.0k
R. Tabacchi Switzerland 21 340 0.3× 392 0.5× 399 1.1× 238 1.5× 172 1.3× 55 1.3k
Zengxuan Cai China 22 690 0.6× 693 0.9× 407 1.1× 210 1.3× 171 1.3× 51 1.6k
Giorgia Sarais Italy 22 476 0.4× 426 0.6× 312 0.9× 87 0.6× 37 0.3× 70 1.5k
Ingegerd Sjöholm Sweden 28 1.4k 1.2× 1.1k 1.4× 263 0.7× 141 0.9× 19 0.1× 88 2.5k
Irena Žuntar Croatia 18 415 0.4× 398 0.5× 195 0.5× 100 0.6× 34 0.3× 40 1.3k
Patrice Pellerin France 27 1.3k 1.2× 1.8k 2.3× 471 1.3× 205 1.3× 51 0.4× 44 2.3k
Reinhard Matissek Germany 17 594 0.5× 404 0.5× 126 0.4× 78 0.5× 94 0.7× 61 1.2k

Countries citing papers authored by Karl‐Erik Hellenäs

Since Specialization
Citations

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

Fields of papers citing papers by Karl‐Erik Hellenäs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karl‐Erik Hellenäs. 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 Karl‐Erik Hellenäs. The network helps show where Karl‐Erik Hellenäs may publish in the future.

Co-authorship network of co-authors of Karl‐Erik Hellenäs

This figure shows the co-authorship network connecting the top 25 collaborators of Karl‐Erik Hellenäs. A scholar is included among the top collaborators of Karl‐Erik Hellenäs 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 Karl‐Erik Hellenäs. Karl‐Erik Hellenäs 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.
Hellenäs, Karl‐Erik, et al.. (2020). New efficient methodology for screening of selected organic micropollutants in raw- and drinking water from 90 Swedish water treatment plants. The Science of The Total Environment. 724. 138069–138069. 15 indexed citations
2.
Rosén, Johan, et al.. (2016). A new method for analysis of underivatized free β-methylamino-alanine: Validation and method comparison. Toxicon. 121. 105–108. 9 indexed citations
3.
Rosén, Johan, et al.. (2015). BMAA detected as neither free nor protein bound amino acid in blue mussels. Toxicon. 109. 45–50. 32 indexed citations
4.
Gyllenhammar, Irina, Rikard Tröger, Anders Glynn, et al.. (2013). Serum levels of unconjugated bisphenol A are below 0.2 ng/ml in Swedish nursing women when contamination is minimized. Environment International. 64. 56–60. 5 indexed citations
5.
Rosén, Johan, et al.. (2012). A concept study on non-targeted screening for chemical contaminants in food using liquid chromatography–mass spectrometry in combination with a metabolomics approach. Analytical and Bioanalytical Chemistry. 405(4). 1237–1243. 48 indexed citations
6.
7.
Abramsson-Zetterberg, Lilianne, Anna Vikström, Margareta Törnqvist, & Karl‐Erik Hellenäs. (2008). Differences in the frequency of micronucleated erythrocytes in humans in relation to consumption of fried carbohydrate-rich food. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 653(1-2). 50–56. 29 indexed citations
8.
9.
Wilson, Kathryn M., Hubert W. Vesper, Laura Sampson, et al.. (2008). Validation of a food frequency questionnaire measurement of dietary acrylamide intake using hemoglobin adducts of acrylamide and glycidamide. Cancer Causes & Control. 20(3). 269–278. 55 indexed citations
10.
Rosén, Johan, et al.. (2007). Retention studies of acrylamide for the design of a robust liquid chromatography–tandem mass spectrometry method for food analysis. Journal of Chromatography A. 1172(1). 19–24. 39 indexed citations
11.
12.
Rosén, Johan, et al.. (2005). The acrylamide intake via some common baby food for children in Sweden during their first year of life—an improved method for analysis of acrylamide. Food and Chemical Toxicology. 43(6). 951–959. 58 indexed citations
13.
Svensson, Kettil, Wulf Becker, Anders Glynn, et al.. (2003). Dietary intake of acrylamide in Sweden. Food and Chemical Toxicology. 41(11). 1581–1586. 280 indexed citations
14.
Rosén, Johan & Karl‐Erik Hellenäs. (2002). Analysis of acrylamide in cooked foods by liquid chromatography tandem mass spectrometry. The Analyst. 127(7). 880–882. 403 indexed citations
15.
Johansson, Madelene & Karl‐Erik Hellenäs. (2001). Sensor chip preparation and assay construction for immunobiosensor determination of beta-agonists and hormones. The Analyst. 126(10). 1721–1727. 22 indexed citations
16.
Elliott, Christopher T., G. Andrew Baxter, S. Armstrong Hewitt, et al.. (1998). Use of biosensors for rapid drug residue analysis without sample deconjugation or clean-up: a possible way forward†. The Analyst. 123(12). 2469–2473. 15 indexed citations
17.
Hellenäs, Karl‐Erik, C Branzell, H. Johnsson, & Premysl Slanina. (1995). High levels of glycoalkaloids in the established swedish potato variety magnum bonum. Journal of the Science of Food and Agriculture. 68(2). 249–255. 53 indexed citations
18.
Hellenäs, Karl‐Erik, et al.. (1992). Determination of potato glycoalkaloids and their aglycone in blood serum by high-performance liquid chromatography. Journal of Chromatography B Biomedical Sciences and Applications. 573(1). 69–78. 57 indexed citations
19.
Bergman, Kerstin & Karl‐Erik Hellenäs. (1992). Methylation of rat and mouse DNA by the mushroom poison gyromitrin and its metabolite monomethylhydrazine. Cancer Letters. 61(2). 165–170. 9 indexed citations
20.
Bergman, Kerstin, et al.. (1990). Effects of dietary sodium selenite supplementation on salicylate-induced embryo- and fetotoxicity in the rat. Toxicology. 61(2). 135–146. 6 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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