Nataliya Petryk

21 total papers · 1.6k total citations
16 papers, 983 citations indexed

About

Nataliya Petryk is a scholar working on Molecular Biology, Genetics and Food Science. According to data from OpenAlex, Nataliya Petryk has authored 16 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 5 papers in Genetics and 1 paper in Food Science. Recurrent topics in Nataliya Petryk's work include Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (9 papers) and DNA Repair Mechanisms (9 papers). Nataliya Petryk is often cited by papers focused on Genomics and Chromatin Dynamics (12 papers), Epigenetics and DNA Methylation (9 papers) and DNA Repair Mechanisms (9 papers). Nataliya Petryk collaborates with scholars based in France, Denmark and China. Nataliya Petryk's co-authors include Anja Groth, Kathleen R. Stewart-Morgan, Olivier Hyrien, Chun-Long Chen, Maria Dalby, Robin Andersson, Malik Kahli, Yves d’Aubenton-Carafa, Anne Strandsby and Alice Wenger and has published in prestigious journals such as Science, Nucleic Acids Research and Nature Communications.

In The Last Decade

Nataliya Petryk

16 papers receiving 975 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nataliya Petryk 923 115 108 59 48 16 983
Ryan Rickels 858 0.9× 92 0.8× 85 0.8× 55 0.9× 44 0.9× 12 937
Abhijit Shukla 1.2k 1.3× 98 0.9× 94 0.9× 61 1.0× 55 1.1× 20 1.2k
M. Behfar Ardehali 994 1.1× 105 0.9× 73 0.7× 93 1.6× 42 0.9× 9 1.1k
Jonas Paulsen 769 0.8× 137 1.2× 156 1.4× 71 1.2× 45 0.9× 30 882
Christopher C. Adams 917 1.0× 108 0.9× 101 0.9× 91 1.5× 49 1.0× 18 1.0k
Héctor Rincón‐Arano 715 0.8× 112 1.0× 69 0.6× 60 1.0× 80 1.7× 21 809
Rabah Iratni 868 0.9× 138 1.2× 111 1.0× 35 0.6× 92 1.9× 9 951
Candice L. Wike 820 0.9× 171 1.5× 148 1.4× 54 0.9× 23 0.5× 11 939
Christian Poitras 979 1.1× 97 0.8× 72 0.7× 55 0.9× 39 0.8× 19 1.1k
Mariëtte P.C. van de Corput 928 1.0× 140 1.2× 221 2.0× 61 1.0× 50 1.0× 10 1.0k

Countries citing papers authored by Nataliya Petryk

Since Specialization
Citations

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

Fields of papers citing papers by Nataliya Petryk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nataliya Petryk

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

All Works

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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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