Zofia E. Madeja

1.3k total citations
29 papers, 964 citations indexed

About

Zofia E. Madeja is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Molecular Biology. According to data from OpenAlex, Zofia E. Madeja has authored 29 papers receiving a total of 964 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Public Health, Environmental and Occupational Health, 12 papers in Genetics and 10 papers in Molecular Biology. Recurrent topics in Zofia E. Madeja's work include Reproductive Biology and Fertility (14 papers), Pluripotent Stem Cells Research (10 papers) and Animal Genetics and Reproduction (8 papers). Zofia E. Madeja is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Pluripotent Stem Cells Research (10 papers) and Animal Genetics and Reproduction (8 papers). Zofia E. Madeja collaborates with scholars based in Poland, United Kingdom and United States. Zofia E. Madeja's co-authors include Myriam Hemberger, Piotr Pawlak, Ray Kit Ng, Wolf Reik, Diana Lucifero, Claire Dawson, Wendy Dean, Anna Piliszek, Francesco Colucci and Ashley Moffett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Zofia E. Madeja

27 papers receiving 946 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zofia E. Madeja Poland 17 476 247 244 211 159 29 964
Maite del Collado Brazil 17 400 0.8× 259 1.0× 505 2.1× 121 0.6× 69 0.4× 34 923
Kun Tan China 22 698 1.5× 118 0.5× 331 1.4× 234 1.1× 48 0.3× 44 1.2k
Samuel Gebremedhn Germany 18 561 1.2× 315 1.3× 378 1.5× 122 0.6× 62 0.4× 35 1.1k
Priscila Ramos‐Ibeas Spain 20 488 1.0× 92 0.4× 543 2.2× 187 0.9× 44 0.3× 51 1.1k
Hanako Bai Japan 19 357 0.8× 346 1.4× 238 1.0× 225 1.1× 85 0.5× 76 908
Alison Murray United Kingdom 15 252 0.5× 335 1.4× 489 2.0× 133 0.6× 337 2.1× 23 1.2k
Inseok Kwak United States 10 241 0.5× 441 1.8× 108 0.4× 256 1.2× 171 1.1× 14 828
Hassendrini N. Peiris Australia 19 737 1.5× 414 1.7× 87 0.4× 49 0.2× 436 2.7× 48 1.2k
Ruiying Diao China 16 344 0.7× 155 0.6× 128 0.5× 88 0.4× 97 0.6× 28 719
Madia Charlier France 17 215 0.5× 446 1.8× 121 0.5× 183 0.9× 58 0.4× 33 900

Countries citing papers authored by Zofia E. Madeja

Since Specialization
Citations

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

Fields of papers citing papers by Zofia E. Madeja

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zofia E. Madeja. 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 Zofia E. Madeja. The network helps show where Zofia E. Madeja may publish in the future.

Co-authorship network of co-authors of Zofia E. Madeja

This figure shows the co-authorship network connecting the top 25 collaborators of Zofia E. Madeja. A scholar is included among the top collaborators of Zofia E. Madeja 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 Zofia E. Madeja. Zofia E. Madeja 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.
Madeja, Zofia E., et al.. (2025). Stage-sensitive potential of isolated rabbit ICM to differentiate into extraembryonic lineages. Biology of Reproduction. 113(5). 1102–1120.
2.
Warzych, Ewelina, Piotr Pawlak, Zofia E. Madeja, et al.. (2025). Effect of IVM media supplementation with a blend of n6/n3 fatty acids on the quality of bovine oocytes and blastocysts. Theriogenology. 242. 117427–117427.
3.
Sell‐Kubiak, Ewa, et al.. (2021). Response of Bovine Cumulus–Oocytes Complexes to Energy Pathway Inhibition during In Vitro Maturation. Genes. 12(6). 838–838. 8 indexed citations
4.
Warzych, Ewelina, et al.. (2020). Lipid Stores and Lipid Metabolism Associated Gene Expression in Porcine and Bovine Parthenogenetic Embryos Revealed by Fluorescent Staining and RNA-seq. International Journal of Molecular Sciences. 21(18). 6488–6488. 25 indexed citations
5.
Warzych, Ewelina, Piotr Pawlak, Dorota Lechniak, & Zofia E. Madeja. (2020). WNT signalling supported by MEK/ERK inhibition is essential to maintain pluripotency in bovine preimplantation embryo. Developmental Biology. 463(1). 63–76. 9 indexed citations
6.
Madeja, Zofia E., Piotr Pawlak, & Anna Piliszek. (2019). Beyond the mouse: non-rodent animal models for study of early mammalian development and biomedical research. The International Journal of Developmental Biology. 63(3-4-5). 187–201. 28 indexed citations
7.
Madeja, Zofia E., Ewelina Warzych, Piotr Pawlak, & Dorota Lechniak. (2019). Inhibitor mediated WNT and MEK/ERK signalling affects apoptosis and the expression of quality related genes in bovine in vitro obtained blastocysts. Biochemical and Biophysical Research Communications. 510(3). 403–408. 3 indexed citations
8.
Piliszek, Anna & Zofia E. Madeja. (2018). Pre-implantation Development of Domestic Animals. Current topics in developmental biology. 128. 267–294. 23 indexed citations
9.
10.
Warzych, Ewelina, Piotr Pawlak, Marcin Pszczoła, et al.. (2017). Interactions of bovine oocytes with follicular elements with respect to lipid metabolism. Animal Science Journal. 88(10). 1491–1497. 24 indexed citations
11.
Piliszek, Anna, et al.. (2017). Differentiation of trophectoderm in rabbit embryos is initiated in the absence of Gata3 and Cdx2. Mechanisms of Development. 145. S79–S79. 2 indexed citations
12.
13.
Nowacka‐Woszuk, Joanna, Zofia E. Madeja, & Agata Chmurzyńska. (2017). Prenatal caloric restriction alters lipid metabolism but not hepatic Fasn gene expression and methylation profiles in rats. BMC Genetics. 18(1). 78–78. 16 indexed citations
14.
15.
Madeja, Zofia E., Ewelina Warzych, Piotr Pawlak, et al.. (2013). Changes in sub-cellular localisation of trophoblast and inner cell mass specific transcription factors during bovine preimplantation development. BMC Developmental Biology. 13(1). 32–32. 43 indexed citations
16.
Krueger, Felix, Zofia E. Madeja, Myriam Hemberger, et al.. (2009). Down-regulation of Cdx2 in colorectal carcinoma cells by the Raf–MEK–ERK 1/2 pathway. Cellular Signalling. 21(12). 1846–1856. 25 indexed citations
17.
Burke, Shannon, et al.. (2008). Unique Receptor Repertoire in Mouse Uterine NK cells. The Journal of Immunology. 181(9). 6140–6147. 116 indexed citations
18.
Madeja, Zofia E., Ewelina Warzych, Jaana Peippo, Dorota Lechniak, & M. Świtoński. (2008). Gene expression and protein distribution of leptin and its receptor in bovine oocytes and preattachment embryos produced in vitro. animal. 3(4). 568–578. 12 indexed citations
19.
Ng, Ray Kit, Wendy Dean, Claire Dawson, et al.. (2008). Epigenetic restriction of embryonic cell lineage fate by methylation of Elf5. Nature Cell Biology. 10(11). 1280–1290. 273 indexed citations
20.
Madeja, Zofia E., Agata Chmurzyńska, Tomasz Jankowski, et al.. (2004). Short Communication: Effect of Leptin Gene Polymorphisms on Breeding Value for Milk Production Traits. Journal of Dairy Science. 87(11). 3925–3927. 49 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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