Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Cathelicidins: family of antimicrobial peptides. A review
2012447 citationsEwa M. Kościuczuk, Paweł Lisowski et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Emilia Bagnicka
Since
Specialization
Citations
This map shows the geographic impact of Emilia Bagnicka'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 Emilia Bagnicka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emilia Bagnicka more than expected).
This network shows the impact of papers produced by Emilia Bagnicka. 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 Emilia Bagnicka. The network helps show where Emilia Bagnicka may publish in the future.
Co-authorship network of co-authors of Emilia Bagnicka
This figure shows the co-authorship network connecting the top 25 collaborators of Emilia Bagnicka.
A scholar is included among the top collaborators of Emilia Bagnicka 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 Emilia Bagnicka. Emilia Bagnicka is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jarczak, Justyna, Ewa M. Kościuczuk, Paweł Lisowski, et al.. (2014). The effects of diet supplementation with yeast on the expression of selected immune system genes in the milk somatic cells of dairy goats.. Animal Science Papers and Reports. 32(1). 41–53.7 indexed citations
9.
Strzałkowska, Nina, et al.. (2014). Influence of stress on the yield and quality of milk as well as on reproductive rates of high-yielding dairy cows.. Medycyna Weterynaryjna. 70(2). 84–89.1 indexed citations
10.
Jóźwik, Artur, J. Krzyżewski, Nina Strzałkowska, et al.. (2012). Relations between the oxidative status, mastitis, milk quality and disorders of reproductive functions in dairy cows - a review.. Animal Science Papers and Reports. 30(4). 297–307.49 indexed citations
11.
Strzałkowska, Nina, et al.. (2012). Fatty acid profiles, cholesterol concentration, and susceptibility to lipolitic fat fraction in goat's milk.. Medycyna Weterynaryjna. 68(1). 40–44.5 indexed citations
12.
Kaba, Jarosław, Tadeusz Stefaniak, Emilia Bagnicka, & Michał Czopowicz. (2011). Experimental immunology Haptoglobin in goats with caprine arthritis-encephalitis. Central European Journal of Immunology. 36(2). 76–78.4 indexed citations
13.
Jóźwik, Artur, Emilia Bagnicka, Nina Strzałkowska, et al.. (2010). The oxidative status of milking goats after per os administration of N-acetylcysteine.. Animal Science Papers and Reports. 28(2). 143–152.11 indexed citations
Strzałkowska, Nina, et al.. (2010). The concentration of free fatty acids in goat milk as related to the stage of lactation, age and somatic cell count.. Animal Science Papers and Reports. 28(4). 389–395.29 indexed citations
16.
Strzałkowska, Nina, Artur Jóźwik, Emilia Bagnicka, J. Krzyżewski, & Jarosław Olav Horbańczuk. (2009). Studies upon genetic and environmental factors affecting the cholesterol content of cow milk. I. Relationship between the polymorphic form of beta-lactoglobulin, somatic cell count, cow age and stage of lactation and cholesterol content of milk.. Animal Science Papers and Reports. 27(2). 95–103.33 indexed citations
17.
Krzyżewski, J., et al.. (2008). Association between the polymorphism of bovine β4-defensin gene and milk traits in Holstein-Friesian cows as computed for standard (305 days) and the whole lactation.. Animal Science Papers and Reports. 26(3). 191–198.4 indexed citations
18.
Kołątaj, A., et al.. (2007). Effect of testosterone on the activity of lysosomal enzymes in the mouse liver and kidney maintained on the different protein level in diet.. Medycyna Weterynaryjna. 63(9). 1084–1089.1 indexed citations
19.
Bagnicka, Emilia, O. Distl, H. Hamann, & M. Łukaszewicz. (2004). Heritabilities of and genetic correlations between the dairy traits in goats estimated in first vs later lacta- tions. Animal Science Papers and Reports. 22(2).14 indexed citations
20.
Zwierzchowski, L., et al.. (2003). Association of the polymorphism at defensin gene loci with dairy production traits and milk somatic cell count in Black-and-White cows. Animal Science Papers and Reports. 21(4).12 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.