Beata Paszczyk

1.1k citations
44 papers · 767 · h-index 15

Impact in

Papers in

Beata Paszczyk

41 papers receiving 737 citations

Peers

Beata Paszczyk
Comparison fields: 5 of 82
  • Animal Science and Zoology 196
  • Health, Toxicology and Mutagenesis 219
  • Aquatic Science 103
  • Nutrition and Dietetics 197
  • Pollution 145
Replace Jasna Đinović-Stojanović with:
Jasna Đinović-Stojanović Serbia
Eduardo Beltrán Spain
A. Bocca Italy
Xulu Chang China
Timo Hirvi Finland
Abd Elhakeem El-Murr Egypt
Antonio Vella Italy
C. Santos Portugal
H.S. NAKAUE United States
Jang-Hyun Hur South Korea
Beata Paszczyk relative to Jasna Đinović-Stojanović Serbia Jasna Đinović-Stojanović's profile →
Citations per field
00.5×3.6×
Jasna Đinović-Stojanović · 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 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018155
2 202188
3 202079
4 201770
5 201930
6 201924
7 201423
8
Trans fatty acids in milk fat
199623
9
Annual changes in the content of unsaturated fatty acids with 18 carbon atoms, including cis9trans11 C18:2 (CLA) acid, in milk fat.
200619
10 202219
11 202116
12 202216
13 202215
14 201614
15 201914
16 202012
17 201512
18 202212
19 200811
20 201611

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 44 papers that have together received 767 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), Environmental Toxicology and Ecotoxicology (5 papers), Aquaculture Nutrition and Growth (5 papers) and Nutrition and Health Studies (4 papers). The work is most often cited by research in Animal Science and Zoology (196 citations), Health, Toxicology and Mutagenesis (219 citations), Aquatic Science (103 citations), Nutrition and Dietetics (197 citations) and Pollution (145 citations). Beata Paszczyk has collaborated with scholars based in Poland. Frequent co-authors include Joanna Łuczyńska, M. Łuczyński, M Polák, Joanna Nowosad, Marta Czarnowska‐Kujawska, Anna E. Zielak-Steciwko, Łukasz Paweł Tarkowski, Małgorzata Starowicz, Monika Kowalska‐Góralska and Dariusz Kucharczyk. Their work appears in journals such as International Journal of Environmental Research and Public Health, Molecules, Animals, 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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