Tamara Pelikánová

926 citations
28 papers · 770 · h-index 16

Impact in

Papers in

Tamara Pelikánová

28 papers receiving 743 citations

Peers

Tamara Pelikánová
Comparison fields: 5 of 64
  • Food Science 246
  • Animal Science and Zoology 131
  • Biochemistry 83
  • Molecular Biology 606
  • Nutrition and Dietetics 97
Replace Martin Křı́žek with:
Martin Křı́žek Czechia
Ágnes Baráth Hungary
Eva Dadáková Czechia
Wenrui Gao China
Shiling Lü China
Liesbeth Rijnen France
Gerson Graser United States
Endel Karmas United States
Tara McIntosh Canada
Sonia Delhaye France
Tamara Pelikánová relative to Martin Křı́žek Czechia Martin Křı́žek's profile →
Citations per field
00.5×1.5×
Martin Křı́žek · 1×
Citations per year

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-authors

The 11 scholars most cited alongside Tamara Pelikánová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tamara Pelikánová Line = papers co-authored together Tamara Pelikánová links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009174
2 199867
3 200258
4 201257
5 200256
6 200941
7 199940
8 200930
9 201829
10 200628
11 201021
12 200520
13 200818
14 201317
15 200917
16 201015
17 200714
18 201211
19 201110
20 200710

About Tamara Pelikánová

Tamara Pelikánová is a scholar working on Molecular Biology, Food Science, Nutrition and Dietetics, Pharmacology and Agronomy and Crop Science, having authored 28 papers that have together received 770 indexed citations. Recurring topics across this work include Polyamine Metabolism and Applications (22 papers), Melamine detection and toxicity (8 papers), Ruminant Nutrition and Digestive Physiology (5 papers), Genetic and phenotypic traits in livestock (5 papers), Advanced Chemical Sensor Technologies (4 papers), Fatty Acid Research and Health (4 papers), Cannabis and Cannabinoid Research (4 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Food Science (246 citations), Animal Science and Zoology (131 citations), Biochemistry (83 citations), Molecular Biology (606 citations) and Nutrition and Dietetics (97 citations). Tamara Pelikánová has collaborated with scholars based in Czechia and United States. Frequent co-authors include Martin Křı́žek, Pavel Kalač, Eva Dadáková, J. Špička, Eva Samková, František Vácha, Oto Hanuš, J. Šavel, Martin Kváč and Lucie Hasoňová. Their work appears in journals such as Meat Science, Food Chemistry, European Food Research and Technology, Journal of Chromatography A and Food Research International.

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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