Galyna Pliushch

810 total citations
8 papers, 577 citations indexed

About

Galyna Pliushch is a scholar working on Molecular Biology, Genetics and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Galyna Pliushch has authored 8 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Genetics and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Galyna Pliushch's work include Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (6 papers) and Prenatal Screening and Diagnostics (5 papers). Galyna Pliushch is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genetic Syndromes and Imprinting (6 papers) and Prenatal Screening and Diagnostics (5 papers). Galyna Pliushch collaborates with scholars based in Germany, Australia and Israel. Galyna Pliushch's co-authors include Thomas Haaf, Nady El Hajj, Ulrich Zechner, E. Schneider, Michael Korenkov, Tobias Müller, H Lehnen, Marcus Dittrich, Wiltrud Coerdt and Achim Tresch and has published in prestigious journals such as Nucleic Acids Research, Diabetes and Human Molecular Genetics.

In The Last Decade

Galyna Pliushch

8 papers receiving 572 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Galyna Pliushch Germany 8 394 320 212 158 62 8 577
Sunita Katari United States 7 297 0.8× 423 1.3× 204 1.0× 94 0.6× 129 2.1× 8 629
Nahid Turan United States 8 357 0.9× 491 1.5× 232 1.1× 103 0.7× 149 2.4× 22 726
Amanda Fortier Canada 8 370 0.9× 353 1.1× 200 0.9× 208 1.3× 160 2.6× 10 678
Mathew Van de Pette United Kingdom 9 255 0.6× 208 0.7× 215 1.0× 32 0.2× 35 0.6× 16 374
Eric de Waal United States 8 276 0.7× 269 0.8× 149 0.7× 61 0.4× 122 2.0× 12 500
Siim Sõber Estonia 11 238 0.6× 114 0.4× 94 0.4× 102 0.6× 84 1.4× 13 495
Éloïse Giabicani France 9 172 0.4× 108 0.3× 177 0.8× 31 0.2× 29 0.5× 24 358
Yuqian Xiang China 11 157 0.4× 138 0.4× 54 0.3× 182 1.2× 74 1.2× 23 434
Søren Kløverpris Denmark 10 133 0.3× 63 0.2× 78 0.4× 41 0.3× 72 1.2× 13 377
Zarqa Saif Australia 10 90 0.2× 193 0.6× 58 0.3× 130 0.8× 107 1.7× 22 410

Countries citing papers authored by Galyna Pliushch

Since Specialization
Citations

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

Fields of papers citing papers by Galyna Pliushch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Galyna Pliushch

This figure shows the co-authorship network connecting the top 25 collaborators of Galyna Pliushch. A scholar is included among the top collaborators of Galyna Pliushch 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 Galyna Pliushch. Galyna Pliushch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Mitchell, Megan, Reiner Strick, Pamela L. Strissel, et al.. (2017). Gene expression and epigenetic aberrations in F1‐placentas fathered by obese males. Molecular Reproduction and Development. 84(4). 316–328. 27 indexed citations
2.
Pliushch, Galyna, E. Schneider, Nady El Hajj, et al.. (2015). In vitro maturation of oocytes is not associated with altered deoxyribonucleic acid methylation patterns in children from in vitro fertilization or intracytoplasmic sperm injection. Fertility and Sterility. 103(3). 720–727.e1. 30 indexed citations
3.
Hajj, Nady El, Galyna Pliushch, E. Schneider, et al.. (2012). Metabolic Programming of MEST DNA Methylation by Intrauterine Exposure to Gestational Diabetes Mellitus. Diabetes. 62(4). 1320–1328. 193 indexed citations
4.
Hansmann, T., Galyna Pliushch, Daniela Endt, et al.. (2012). Constitutive promoter methylation of BRCA1 and RAD51C in patients with familial ovarian cancer and early-onset sporadic breast cancer. Human Molecular Genetics. 21(21). 4669–4679. 74 indexed citations
5.
Pliushch, Galyna, E. Schneider, Nady El Hajj, et al.. (2010). Extreme Methylation Values of Imprinted Genes in Human Abortions and Stillbirths. American Journal Of Pathology. 176(3). 1084–1090. 48 indexed citations
6.
Schneider, E., Galyna Pliushch, Nady El Hajj, et al.. (2010). Spatial, temporal and interindividual epigenetic variation of functionally important DNA methylation patterns. Nucleic Acids Research. 38(12). 3880–3890. 94 indexed citations
7.
Zechner, Ulrich, Galyna Pliushch, E. Schneider, et al.. (2009). Quantitative methylation analysis of developmentally important genes in human pregnancy losses after ART and spontaneous conception. Molecular Human Reproduction. 16(9). 704–713. 58 indexed citations
8.
Ruf, Nico, Sylvia Bähring, Danuta Galetzka, et al.. (2007). Sequence-based bioinformatic prediction and QUASEP identify genomic imprinting of the KCNK9 potassium channel gene in mouse and human. Human Molecular Genetics. 16(21). 2591–2599. 53 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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