Katarzyna Dudek

682 total citations
31 papers, 451 citations indexed

About

Katarzyna Dudek is a scholar working on Genetics, Immunology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Katarzyna Dudek has authored 31 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 9 papers in Immunology and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Katarzyna Dudek's work include Genetic diversity and population structure (14 papers), T-cell and B-cell Immunology (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Katarzyna Dudek is often cited by papers focused on Genetic diversity and population structure (14 papers), T-cell and B-cell Immunology (7 papers) and Genetic and phenotypic traits in livestock (6 papers). Katarzyna Dudek collaborates with scholars based in Poland, Netherlands and Spain. Katarzyna Dudek's co-authors include Wiesław Babik, Piotr Zieliński, Michał Stuglik, Anna Fijarczyk, Maciej Pabijan, D. Kubisz, Łukasz Kajtoch, Gemma Palomar, Michał Kolasa and Miłosz A. Mazur and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Katarzyna Dudek

30 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katarzyna Dudek Poland 13 214 123 97 87 79 31 451
Yu Du China 11 109 0.5× 94 0.8× 147 1.5× 119 1.4× 112 1.4× 42 351
Mateusz Konczal Poland 11 174 0.8× 108 0.9× 22 0.2× 85 1.0× 81 1.0× 21 328
Schyler O. Nunziata United States 12 119 0.6× 118 1.0× 69 0.7× 84 1.0× 96 1.2× 38 380
Mrinalini United States 13 217 1.0× 117 1.0× 80 0.8× 100 1.1× 139 1.8× 16 535
Ying Zhen United States 14 284 1.3× 109 0.9× 43 0.4× 166 1.9× 302 3.8× 29 798
Annabel C. Beichman United States 11 308 1.4× 190 1.5× 29 0.3× 46 0.5× 262 3.3× 17 585
Robyn Howitt New Zealand 13 77 0.4× 157 1.3× 38 0.4× 110 1.3× 58 0.7× 21 520
Josiane Aubert France 9 268 1.3× 84 0.7× 22 0.2× 202 2.3× 69 0.9× 13 499
Julien Prunier Canada 14 299 1.4× 132 1.1× 68 0.7× 64 0.7× 217 2.7× 32 628
Jackie Lighten United Kingdom 10 173 0.8× 84 0.7× 40 0.4× 79 0.9× 102 1.3× 15 381

Countries citing papers authored by Katarzyna Dudek

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Dudek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Dudek

This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Dudek. A scholar is included among the top collaborators of Katarzyna Dudek 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 Katarzyna Dudek. Katarzyna Dudek 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.
Babik, Wiesław, et al.. (2025). Linkage Mapping vs. Association: A Comparison of Two RADseq ‐Based Approaches to Identify Markers for Homomorphic Sex Chromosomes in Large Genomes. Molecular Ecology Resources. 25(7). e70019–e70019. 2 indexed citations
2.
Konczal, Mateusz, et al.. (2025). Sex-specific recombination landscape in a species with holocentric chromosomes. Genetics. 231(4). 1 indexed citations
3.
Migalska, Magdalena, et al.. (2025). Compact genomic architecture of the axolotl MHC region: setting the record straight. Immunogenetics. 77(1). 33–33.
4.
Babik, Wiesław, et al.. (2025). Identification of Y-chromosome Turnover in Newts Fails to Support a Sex Chromosome Origin for the Triturus Balanced Lethal System. Genome Biology and Evolution. 17(9). 1 indexed citations
5.
Dudek, Katarzyna, et al.. (2024). Transcriptomics of differences in thermal plasticity associated with selection for an exaggerated male sexual trait. Heredity. 133(1). 43–53. 2 indexed citations
6.
Sánchez‐Montes, Gregorio, et al.. (2023). Assessing fine‐scale pondscape connectivity with amphibian eyes: An integrative approach using genomic and capture–mark–recapture data. Molecular Ecology. 33(2). e17206–e17206. 1 indexed citations
7.
Babik, Wiesław, et al.. (2023). The genomic response to urbanization in the damselfly Ischnura elegans. Evolutionary Applications. 16(11). 1805–1818. 8 indexed citations
8.
Minias, Piotr, Gemma Palomar, Katarzyna Dudek, & Wiesław Babik. (2022). Salamanders reveal novel trajectories of amphibian MHC evolution. Evolution. 76(10). 2436–2449. 5 indexed citations
9.
Palomar, Gemma, Katarzyna Dudek, Ben Wielstra, et al.. (2021). Molecular Evolution of Antigen-Processing Genes in Salamanders: Do They Coevolve withMHCClass I Genes?. Genome Biology and Evolution. 13(2). 7 indexed citations
10.
Palomar, Gemma, Katarzyna Dudek, Magdalena Migalska, et al.. (2021). Coevolution between MHC Class I and Antigen-Processing Genes in Salamanders. Molecular Biology and Evolution. 38(11). 5092–5106. 9 indexed citations
11.
Kolasa, Michał, et al.. (2019). How Hosts Taxonomy, Trophy, and Endosymbionts Shape Microbiome Diversity in Beetles. Microbial Ecology. 78(4). 995–1013. 50 indexed citations
12.
Zieliński, Piotr, Katarzyna Dudek, Jan W. Arntzen, et al.. (2019). Differential introgression across newt hybrid zones: Evidence from replicated transects. Molecular Ecology. 28(21). 4811–4824. 27 indexed citations
13.
Fijarczyk, Anna, et al.. (2018). Balancing selection and introgression of newt immune-response genes. Proceedings of the Royal Society B Biological Sciences. 285(1884). 20180819–20180819. 23 indexed citations
14.
Fijarczyk, Anna, et al.. (2016). Molecular Inversion Probes for targeted resequencing in non-model organisms. Scientific Reports. 6(1). 24051–24051. 33 indexed citations
15.
Zieliński, Piotr, Krystyna Nadachowska‐Brzyska, Katarzyna Dudek, & Wiesław Babik. (2016). Divergence history of the Carpathian and smooth newts modelled in space and time. Molecular Ecology. 25(16). 3912–3928. 17 indexed citations
16.
Fijarczyk, Anna, Katarzyna Dudek, & Wiesław Babik. (2016). Selective Landscapes in newt Immune Genes Inferred from Patterns of Nucleotide Variation. Genome Biology and Evolution. 8(11). 3417–3432. 12 indexed citations
17.
18.
Pabijan, Maciej, et al.. (2014). The dissection of a Pleistocene refugium: phylogeography of the smooth newt, Lissotriton vulgaris, in the Balkans. Journal of Biogeography. 42(4). 671–683. 46 indexed citations
19.
Babik, Wiesław, Katarzyna Dudek, Anna Fijarczyk, et al.. (2014). Constraint and Adaptation in newt Toll-Like Receptor Genes. Genome Biology and Evolution. 7(1). 81–95. 30 indexed citations
20.
Zieliński, Piotr, Michał Stuglik, Katarzyna Dudek, Mateusz Konczal, & Wiesław Babik. (2013). Development, validation and high‐throughput analysis of sequence markers in nonmodel species. Molecular Ecology Resources. 14(2). 352–360. 24 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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