Anna Wolc

3.0k total citations
138 papers, 2.1k citations indexed

About

Anna Wolc is a scholar working on Genetics, Animal Science and Zoology and Agronomy and Crop Science. According to data from OpenAlex, Anna Wolc has authored 138 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 57 papers in Animal Science and Zoology and 17 papers in Agronomy and Crop Science. Recurrent topics in Anna Wolc's work include Genetic and phenotypic traits in livestock (68 papers), Animal Nutrition and Physiology (48 papers) and Genetic Mapping and Diversity in Plants and Animals (29 papers). Anna Wolc is often cited by papers focused on Genetic and phenotypic traits in livestock (68 papers), Animal Nutrition and Physiology (48 papers) and Genetic Mapping and Diversity in Plants and Animals (29 papers). Anna Wolc collaborates with scholars based in United States, Poland and United Kingdom. Anna Wolc's co-authors include Jack C. M. Dekkers, Janet E. Fulton, Jesus Arango, Neil O’Sullivan, P. Settar, Rohan L. Fernando, T. Szwaczkowski, Dorian J. Garrick, Ian White and Rudolf Preisinger and has published in prestigious journals such as The Journal of Immunology, International Journal of Molecular Sciences and Journal of Dairy Science.

In The Last Decade

Anna Wolc

132 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anna Wolc United States 23 1.4k 877 425 312 184 138 2.1k
Nadine Buys Belgium 31 1.7k 1.3× 1.4k 1.6× 261 0.6× 250 0.8× 757 4.1× 152 3.5k
Raquel Quintanilla Spain 25 1.2k 0.9× 630 0.7× 216 0.5× 179 0.6× 408 2.2× 91 1.8k
Haja N. Kadarmideen Denmark 32 2.3k 1.7× 751 0.9× 290 0.7× 1.0k 3.3× 820 4.5× 149 3.5k
Yuliaxis Ramayo‐Caldas Spain 26 963 0.7× 610 0.7× 160 0.4× 292 0.9× 1.0k 5.4× 82 2.3k
Ana I. Fernández Spain 29 1.6k 1.2× 698 0.8× 313 0.7× 162 0.5× 868 4.7× 103 2.7k
E. Kalm Germany 31 2.2k 1.6× 1.2k 1.4× 368 0.9× 668 2.1× 534 2.9× 150 3.2k
Rosemarie Weikard Germany 23 1.0k 0.7× 355 0.4× 194 0.5× 335 1.1× 581 3.2× 80 1.9k
C. Óvilo Spain 32 1.6k 1.2× 1.1k 1.2× 252 0.6× 164 0.5× 816 4.4× 134 3.1k
A. Kumaresan India 29 908 0.7× 402 0.5× 142 0.3× 1.1k 3.6× 342 1.9× 224 3.0k
L. Buttazzoni Italy 23 1.0k 0.7× 642 0.7× 101 0.2× 321 1.0× 356 1.9× 86 1.7k

Countries citing papers authored by Anna Wolc

Since Specialization
Citations

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

Fields of papers citing papers by Anna Wolc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anna Wolc

This figure shows the co-authorship network connecting the top 25 collaborators of Anna Wolc. A scholar is included among the top collaborators of Anna Wolc 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 Anna Wolc. Anna Wolc 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.
Wolc, Anna, et al.. (2025). The chicken major histocompatibility complex (MHC-B) and alloantigen systems A, D, E, and I impact resistance to coccidiosis. Poultry Science. 104(7). 105151–105151. 2 indexed citations
2.
Wolc, Anna, et al.. (2024). A Pharmacokinetic Study of the Interaction Between Regorafenib and Paracetamol in Male Rats. Pharmaceutics. 16(11). 1387–1387. 1 indexed citations
3.
Oko, Andrzej, et al.. (2023). Assessment of serum concentration and urinary excretion of tumor necrosis factor receptor 1 and 2 and their potential as markers of immunoglobulin A nephropathy activity. Advances in Clinical and Experimental Medicine. 33(6). 583–591. 1 indexed citations
4.
Wang, Zhang, Ian Dunn, Peter W.F. Wilson, et al.. (2023). Genome wide association analysis of cuticle deposition in laying hens. Poultry Science. 102(10). 102990–102990.
5.
Szałek, Edyta, Arkadiusz Spychała, Tomasz Grabowski, et al.. (2022). The metabolic conversion of metamizole (Dipyrone) in male and female patients after total gastrectomy for stomach cancer.. Acta Poloniae Pharmaceutica - Drug Research. 79(3). 401–407.
6.
Grabowski, Tomasz, et al.. (2020). The oxidation and hypoglycaemic effect of sorafenib in streptozotocin-induced diabetic rats. Pharmacological Reports. 72(1). 254–259. 6 indexed citations
8.
Wolc, Anna, et al.. (2020). A biphasic curve for modeling, classifying, and predicting egg production in single cycle and molted flocks. Poultry Science. 99(4). 2007–2010. 4 indexed citations
9.
Warzych, Ewelina, Adam Cieślak, Anna Wolc, & Dorota Lechniak. (2016). Cathepsin mRNA level in bovine cumulus cells fails to be a good marker of oocyte quality. Animal Science Papers and Reports. 34(4). 339. 1 indexed citations
10.
Hsu, Wan‐Ling, Rohan L. Fernando, Jack C. M. Dekkers, et al.. (2015). A simulation study on the effect of nested vs factorial mating on response to pedigree and genomic selection. 1 indexed citations
11.
Wolc, Anna, Andreas Kranis, Jesus Arango, et al.. (2014). Applications of Genomic Selection in Poultry. Iowa State University Digital Repository (Iowa State University). 80. 2 indexed citations
12.
Wolc, Anna, Rohan L. Fernando, Jack C. M. Dekkers, et al.. (2014). Prediction Accuracy of Pedigree and Genomic Estimated Breeding Values over Generations in Layer Chickens. Iowa State University Digital Repository (Iowa State University). 326. 1 indexed citations
13.
Wolc, Anna, Jesus Arango, Tomasz Jankowski, et al.. (2014). Genome‐wide association study for egg production and quality in layer chickens. Journal of Animal Breeding and Genetics. 131(3). 173–182. 68 indexed citations
14.
Wolc, Anna, Jesus Arango, P. Settar, et al.. (2012). Genome‐wide association analysis and genetic architecture of egg weight and egg uniformity in layer chickens. Animal Genetics. 43(s1). 87–96. 86 indexed citations
15.
Wolc, Anna, et al.. (2009). Culling reasons as related to lifetime dairy performance in Polish Friesian (Black-and-White) cows on Pawłowice farm in the years 1909-2006. Animal Science Papers and Reports. 27(3). 173–180. 6 indexed citations
16.
Wolc, Anna, et al.. (2008). Genetic evaluation of production and reproduction traits in two selected lines of geese under multitrait animal model. Animal Science Papers and Reports. 26(1). 71–78. 3 indexed citations
17.
Wolc, Anna, et al.. (2006). The effect of inbreeding level and genetic factors on longevity in Arabian oryx (Oryx leucoryx). Animal Science Papers and Reports. 24(4). 279–287. 1 indexed citations
18.
Szwaczkowski, T., et al.. (2006). Genetic evaluation in laying hens based on fixed and random regression models.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 7–29. 1 indexed citations
19.
Wolc, Anna, et al.. (2005). The genetic background of longevity in David's deer [Elaphurus davidianus, Milne Edwards 1866]. 72. 1 indexed citations
20.
Wolc, Anna, et al.. (2005). Inbreeding rate and its effect on three body conformation traits in Arab mares. Animal Science Papers and Reports. 23(1). 51–59. 15 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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