Tamara Pelikánová

926 total citations
28 papers, 770 citations indexed

About

Tamara Pelikánová is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Tamara Pelikánová has authored 28 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 8 papers in Food Science and 7 papers in Nutrition and Dietetics. Recurrent topics in Tamara Pelikánová's work include Polyamine Metabolism and Applications (22 papers), Melamine detection and toxicity (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Tamara Pelikánová is often cited by papers focused on Polyamine Metabolism and Applications (22 papers), Melamine detection and toxicity (8 papers) and Genetic and phenotypic traits in livestock (5 papers). Tamara Pelikánová collaborates with scholars based in Czechia and United States. Tamara Pelikánová's co-authors include Martin Křı́žek, Pavel Kalač, Eva Dadáková, J. Špička, Eva Samková, František Vácha, Oto Hanuš, J. Šavel, Martin Kváč and Lucie Hasoňová and has published in prestigious journals such as Food Chemistry, Journal of Chromatography A and Food Research International.

In The Last Decade

Tamara Pelikánová

28 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tamara Pelikánová Czechia 16 606 246 131 97 96 28 770
Martin Křı́žek Czechia 20 879 1.5× 308 1.3× 272 2.1× 96 1.0× 95 1.0× 33 1.1k
Ágnes Baráth Hungary 6 887 1.5× 397 1.6× 191 1.5× 96 1.0× 64 0.7× 7 1.0k
Eva Dadáková Czechia 14 408 0.7× 268 1.1× 127 1.0× 112 1.2× 51 0.5× 32 728
Liesbeth Rijnen France 10 803 1.3× 981 4.0× 287 2.2× 274 2.8× 14 0.1× 10 1.2k
Shiling Lü China 15 526 0.9× 323 1.3× 355 2.7× 63 0.6× 39 0.4× 43 816
Wenrui Gao China 9 243 0.4× 273 1.1× 67 0.5× 114 1.2× 44 0.5× 21 648
Jun Niu China 16 323 0.5× 40 0.2× 41 0.3× 22 0.2× 43 0.4× 31 543
Gabriela Trejo‐Tapia Mexico 19 589 1.0× 216 0.9× 21 0.2× 46 0.5× 77 0.8× 65 909
J. Adda France 15 244 0.4× 469 1.9× 229 1.7× 94 1.0× 11 0.1× 25 638
Hsien‐Feng Kung Taiwan 23 1.1k 1.9× 532 2.2× 351 2.7× 80 0.8× 41 0.4× 48 1.4k

Countries citing papers authored by Tamara Pelikánová

Since Specialization
Citations

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

Fields of papers citing papers by Tamara Pelikánová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Pelikánová

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Pelikánová. A scholar is included among the top collaborators of Tamara Pelikánová 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 Tamara Pelikánová. Tamara Pelikánová 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.
Dadáková, Eva, et al.. (2022). Can biogenic amines cause ailments following the intake of edible mushroom meals?. Czech Journal of Food Sciences. 40(6). 407–413. 1 indexed citations
2.
Křı́žek, Martin, Eva Dadáková, František Vácha, & Tamara Pelikánová. (2017). Comparison of the formation of biogenic amines in irradiated and smoked fish. European Food Research and Technology. 243(11). 1989–1995. 9 indexed citations
3.
Samková, Eva, et al.. (2016). PROPORTION OF IMPORTANT FATTY ACIDS IN COW AND GOAT MILK FAT. 23(1). 582–587. 2 indexed citations
4.
Samková, Eva, et al.. (2014). Eighteen-carbon fatty acids in milk fat of Czech Fleckvieh and Holstein cows following feeding with fresh lucerne (Medicago sativa L.)*. Animal Science Papers and Reports. 32(3). 209–218. 7 indexed citations
5.
Samková, Eva, Eva Dadáková, & Tamara Pelikánová. (2013). Changes in biogenic amine and polyamine contents in smear-ripened cheeses during storage. European Food Research and Technology. 237(3). 309–314. 17 indexed citations
6.
Samková, Eva, et al.. (2012). Animal factors affecting fatty acid composition of cow milk fat: A review. South African Journal of Animal Science. 42(2). 83–100. 57 indexed citations
7.
Křı́žek, Martin, et al.. (2011). Formation of biogenic amines in fillets and minced flesh of three freshwater fish species stored at 3 °C and 15 °C. Acta Veterinaria Brno. 80(4). 365–372. 10 indexed citations
8.
Dadáková, Eva, Tamara Pelikánová, & Pavel Kalač. (2011). Concentration of biologically active polyamines in rabbit meat, liver and kidney after slaughter and their changes during meat storage and cooking. Meat Science. 90(3). 796–800. 6 indexed citations
9.
Dadáková, Eva, Tamara Pelikánová, & Pavel Kalač. (2010). Concentration of biologically active polyamines in meat and liver of sheep and lambs after slaughter and their changes in mutton during storage and cooking. Meat Science. 87(2). 119–124. 15 indexed citations
10.
Dadáková, Eva, Martin Křı́žek, & Tamara Pelikánová. (2009). Determination of biogenic amines in foods using ultra-performance liquid chromatography (UPLC). Food Chemistry. 116(1). 365–370. 174 indexed citations
11.
Dadáková, Eva, Tamara Pelikánová, & Pavel Kalač. (2009). Content of biogenic amines and polyamines in some species of European wild-growing edible mushrooms. European Food Research and Technology. 230(1). 163–171. 41 indexed citations
12.
Samková, Eva, et al.. (2009). The effect of feeding diets markedly differing in the proportion of grass and maize silages on bovine milk fat composition. Czech Journal of Animal Science. 54(3). 93–100. 17 indexed citations
13.
Kalač, Pavel, et al.. (2008). Changes in the content of biologically active polyamines during beef loin storage and cooking. Meat Science. 81(4). 607–611. 18 indexed citations
14.
Kalač, Pavel, et al.. (2007). Changes in the content of biologically active polyamines during storage and cooking of pig liver. Meat Science. 77(2). 269–274. 10 indexed citations
15.
Kalač, Pavel, et al.. (2007). Biologically active polyamines in pig kidneys and spleen: Content after slaughter and changes during cold storage and cooking. Meat Science. 79(2). 326–331. 9 indexed citations
16.
Kalač, Pavel, et al.. (2006). Content of biologically active polyamines in livers of cattle, pigs and chickens after animal slaughter. Meat Science. 73(4). 640–644. 28 indexed citations
17.
Kalač, Pavel, et al.. (2005). Content of polyamines in beef and pork after animal slaughtering. European Food Research and Technology. 223(3). 321–324. 20 indexed citations
18.
Kalač, Pavel, et al.. (2002). Levels of biogenic amines in typical vegetable products. Food Chemistry. 77(3). 349–351. 56 indexed citations
19.
Kalač, Pavel, et al.. (2002). Biogenic amine formation in bottled beer. Food Chemistry. 79(4). 431–434. 58 indexed citations
20.
Kalač, Pavel, et al.. (1999). Concentrations of seven biogenic amines in sauerkraut. Food Chemistry. 67(3). 275–280. 40 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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