Beata Paszczyk

1.1k citations
45 papers · 804 · h-index 15

Impact in

Papers in

Beata Paszczyk

41 papers receiving 773 citations

Peers

Beata Paszczyk
Comparison fields: 5 of 83
  • Animal Science and Zoology 200
  • Health, Toxicology and Mutagenesis 219
  • Aquatic Science 106
  • Nutrition and Dietetics 202
  • Pollution 147
Replace Simonetta Menotta with:
Simonetta Menotta Italy
Rana Muhammad Bilal Pakistan
Eduardo Beltrán Spain
A. Bocca Italy
Ida‐Johanne Jensen Norway
Timo Hirvi Finland
C. Santos Portugal
Junying Li China
Abd Elhakeem El-Murr Egypt
Jang-Hyun Hur South Korea
Beata Paszczyk relative to Simonetta Menotta Italy Simonetta Menotta's profile →
Citations per field
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Simonetta Menotta · 1×
Citations per year

Countries citing papers authored by Beata Paszczyk

Since Specialization
Citations

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

Fields of papers citing papers by Beata Paszczyk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Beata Paszczyk, 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 Beata Paszczyk Line = papers co-authored together Beata Paszczyk links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018158
2 202195
3 202086
4 201773
5 201933
6 201924
7
Trans fatty acids in milk fat
199623
8 201423
9 202223
10
Annual changes in the content of unsaturated fatty acids with 18 carbon atoms, including cis9trans11 C18:2 (CLA) acid, in milk fat.
200619
11 202117
12 202216
13 202216
14 202215
15 201614
16 201914
17 202412
18 202012
19 201512
20 200811

About Beata Paszczyk

Beata Paszczyk is a scholar working on Nutrition and Dietetics, Animal Science and Zoology, Molecular Biology, Food Science and Health, Toxicology and Mutagenesis, having authored 45 papers that have together received 804 indexed citations. Recurring topics across this work include Fatty Acid Research and Health (23 papers), Meat and Animal Product Quality (18 papers), Protein Hydrolysis and Bioactive Peptides (11 papers), Mercury impact and mitigation studies (6 papers), Probiotics and Fermented Foods (6 papers), Aquaculture Nutrition and Growth (5 papers), Environmental Toxicology and Ecotoxicology (5 papers) and Nutrition and Health Studies (4 papers). The work is most often cited by research in Animal Science and Zoology (200 citations), Health, Toxicology and Mutagenesis (219 citations), Aquatic Science (106 citations), Nutrition and Dietetics (202 citations) and Pollution (147 citations). Beata Paszczyk has collaborated with scholars based in Poland. Frequent co-authors include Joanna Łuczyńska, M. Łuczyński, M Polák, Marta Czarnowska‐Kujawska, Joanna Nowosad, Anna E. Zielak-Steciwko, Łukasz Paweł Tarkowski, Joanna Klepacka, Dariusz Kucharczyk and Jan G. Jaworski. Their work appears in journals such as Animals, International Journal of Environmental Research and Public Health, Molecules, Foods and Applied Sciences.

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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