Katarzyna Piórkowska

1.4k total citations
100 papers, 951 citations indexed

About

Katarzyna Piórkowska is a scholar working on Genetics, Animal Science and Zoology and Molecular Biology. According to data from OpenAlex, Katarzyna Piórkowska has authored 100 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Genetics, 40 papers in Animal Science and Zoology and 34 papers in Molecular Biology. Recurrent topics in Katarzyna Piórkowska's work include Genetic and phenotypic traits in livestock (40 papers), Meat and Animal Product Quality (28 papers) and Animal Nutrition and Physiology (22 papers). Katarzyna Piórkowska is often cited by papers focused on Genetic and phenotypic traits in livestock (40 papers), Meat and Animal Product Quality (28 papers) and Animal Nutrition and Physiology (22 papers). Katarzyna Piórkowska collaborates with scholars based in Poland, United Kingdom and United States. Katarzyna Piórkowska's co-authors include Katarzyna Ropka‐Molik, M. Tyra, Kacper Żukowski, Maria Oczkowicz, R. Eckert, Artur Gurgul, Monika Stefaniuk‐Szmukier, M. Różycki, Tomasz Szmatoła and Monika Bugno‐Poniewierska and has published in prestigious journals such as International Journal of Molecular Sciences, Gene and Meat Science.

In The Last Decade

Katarzyna Piórkowska

95 papers receiving 927 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 Piórkowska Poland 17 484 354 331 185 124 100 951
Katarzyna Ropka‐Molik Poland 20 755 1.6× 429 1.2× 400 1.2× 271 1.5× 160 1.3× 142 1.4k
Rogério Abdallah Curi Brazil 20 785 1.6× 189 0.5× 387 1.2× 138 0.7× 155 1.3× 111 1.3k
Eli Grindflek Norway 23 702 1.5× 294 0.8× 365 1.1× 138 0.7× 34 0.3× 79 1.3k
Paolo Zambonelli Italy 17 556 1.1× 356 1.0× 445 1.3× 195 1.1× 54 0.4× 75 1.1k
Kacper Żukowski Poland 14 408 0.8× 240 0.7× 157 0.5× 164 0.9× 29 0.2× 54 660
Artur Gurgul Poland 19 722 1.5× 445 1.3× 145 0.4× 238 1.3× 43 0.3× 119 1.2k
Beatrice A. McGivney Ireland 18 580 1.2× 326 0.9× 115 0.3× 43 0.2× 346 2.8× 33 990
Nobushige Ishida Japan 15 496 1.0× 429 1.2× 71 0.2× 54 0.3× 112 0.9× 43 945
M. G. Thomas United States 22 868 1.8× 142 0.4× 283 0.9× 124 0.7× 66 0.5× 46 1.4k
Ruihua Dang China 19 738 1.5× 456 1.3× 136 0.4× 416 2.2× 37 0.3× 107 1.2k

Countries citing papers authored by Katarzyna Piórkowska

Since Specialization
Citations

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

Fields of papers citing papers by Katarzyna Piórkowska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katarzyna Piórkowska

This figure shows the co-authorship network connecting the top 25 collaborators of Katarzyna Piórkowska. A scholar is included among the top collaborators of Katarzyna Piórkowska 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 Piórkowska. Katarzyna Piórkowska 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.
Ropka‐Molik, Katarzyna, Jolanta Opiela, Katarzyna Piórkowska, et al.. (2025). Changes of Gene Expression Profile during Differentiation of Equine Bone Marrow-Derived MSCs towards Adipocytes and Chondrocytes*. Annals of Animal Science. 26(1). 293–306.
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Piórkowska, Katarzyna, et al.. (2025). Identification of Genes Related to Fat Deposition as Candidates for ER Stress Based on Combined RNA-ATAC Sequencing Analysis. Annals of Animal Science. 25(2). 585–595. 1 indexed citations
4.
Szyndler‐Nędza, Magdalena, Małgorzata Świątkiewicz, M. Tyra, et al.. (2024). Effect of Different Protein Sources on the Meat Quality of Złotnicka Spotted Pigs with Particular Emphasis of Slaughter Body Weight. Annals of Animal Science. 25(1). 293–304. 1 indexed citations
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Tyra, M., Katarzyna Ropka‐Molik, Katarzyna Piórkowska, et al.. (2023). Association of ghrelin gene polymorphisms with slaughter traits in pig. Annals of Animal Science. 23(2). 431–437. 2 indexed citations
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Stefaniuk‐Szmukier, Monika, et al.. (2021). Low diversity of mitochondrial DNA in fancy pigeons (Columba livia) revealed by partial D‐loop sequencing. Animal Genetics. 52(3). 382–382. 1 indexed citations
9.
Piórkowska, Katarzyna, et al.. (2020). Use of the HRM Method in Quick Identification of FecXO Mutation in Highly Prolific Olkuska Sheep. Animals. 10(5). 844–844. 4 indexed citations
10.
Reiter, Simone Frizell, Barbara Wallner, Г. Брем, et al.. (2020). Distribution of the Warmblood Fragile Foal Syndrome Type 1 Mutation (PLOD1 c.2032G>A) in Different Horse Breeds from Europe and the United States. Genes. 11(12). 1518–1518. 12 indexed citations
11.
Piórkowska, Katarzyna, Katarzyna Ropka‐Molik, Magdalena Szyndler‐Nędza, et al.. (2020). Evaluation of SCD, ACACA and FASN Mutations: Effects on Pork Quality and Other Production Traits in Pigs Selected Based on RNA-Seq Results. Animals. 10(1). 123–123. 30 indexed citations
12.
Stefaniuk‐Szmukier, Monika, et al.. (2020). Variability of ACOX1 Gene Polymorphisms across Different Horse Breeds with Regard to Selection Pressure. Animals. 10(12). 2225–2225. 6 indexed citations
13.
Piórkowska, Katarzyna, Kacper Żukowski, M. Tyra, et al.. (2019). The Pituitary Transcriptional Response Related to Feed Conversion in Pigs. Genes. 10(9). 712–712. 10 indexed citations
14.
Tyra, M., et al.. (2019). Association of Ghrelin Gene Polymorphisms with Fattening Traits and Feed Intake in Pig: A Preliminary Study. Animals. 9(7). 410–410. 6 indexed citations
15.
Bugno‐Poniewierska, Monika, et al.. (2019). Genetic screening for cerebellar abiotrophy, severe combined immunodeficiency and lavender foal syndrome in Arabian horses in Poland. The Veterinary Journal. 248. 71–73. 8 indexed citations
16.
Piórkowska, Katarzyna, et al.. (2014). New Polymorphisms in Regulatory Region of CAPN3 Gene with no Effect on Gene Expression in Breast Muscle of Broiler Chickens. Annals of Animal Science. 14(3). 511–524. 2 indexed citations
17.
Piórkowska, Katarzyna, Katarzyna Ropka‐Molik, Maria Oczkowicz, M. Różycki, & Kacper Żukowski. (2013). Association study of PIT1 and GHRH SNPs with economically important traits in pigs of three breeds reared in Poland.. Animal Science Papers and Reports. 31(4). 303–314. 8 indexed citations
18.
Kawęcka, Aldona & Katarzyna Piórkowska. (2011). Characteristics of the genetic structure of native sheep breeds. Annals of Animal Science. 11(3). 8 indexed citations
19.
Rejduch, B., et al.. (2010). Expression of IGF1 and IGF2 genes in muscles during development of pigs representing five different breeds.. Annals of Animal Science. 10(3). 231–239. 2 indexed citations
20.
Szyndler‐Nędza, Magdalena, M. Tyra, Tadeusz Blicharski, & Katarzyna Piórkowska. (2010). Effect of mutation in MC4R gene on carcass quality in Pulawska pig included in conservation breeding programme.. Animal Science Papers and Reports. 28(1). 37–45. 17 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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