Nina Chumak

1.2k total citations · 1 hit paper
8 papers, 876 citations indexed

About

Nina Chumak is a scholar working on Molecular Biology, Plant Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Nina Chumak has authored 8 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Plant Science and 1 paper in Cellular and Molecular Neuroscience. Recurrent topics in Nina Chumak's work include Plant Molecular Biology Research (5 papers), Chromosomal and Genetic Variations (5 papers) and Plant Reproductive Biology (4 papers). Nina Chumak is often cited by papers focused on Plant Molecular Biology Research (5 papers), Chromosomal and Genetic Variations (5 papers) and Plant Reproductive Biology (4 papers). Nina Chumak collaborates with scholars based in Austria, United States and Switzerland. Nina Chumak's co-authors include Vera K. Schoft, Hisashi Tamaru, Robert L. Fischer, Daniel Zilberman, Toshiro Nishimura, Tzung‐Fu Hsieh, Magdalena Mosiołek, Marie‐Theres Hauser, Christian Ibarra and Jessica A. Rodrigues and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and EMBO Reports.

In The Last Decade

Nina Chumak

8 papers receiving 866 citations

Hit Papers

Active DNA Demethylation ... 2012 2026 2016 2021 2012 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nina Chumak Austria 7 726 564 78 28 26 8 876
Sylvie Tutois France 15 510 0.7× 594 1.1× 75 1.0× 29 1.0× 41 1.6× 23 815
Joan Barau Brazil 11 309 0.4× 635 1.1× 180 2.3× 36 1.3× 33 1.3× 16 857
Cameron Kennedy United States 8 411 0.6× 678 1.2× 146 1.9× 27 1.0× 48 1.8× 8 788
Alan Walton Belgium 10 244 0.3× 237 0.4× 32 0.4× 61 2.2× 33 1.3× 12 416
Vera K. Schoft Austria 10 763 1.1× 650 1.2× 80 1.0× 32 1.1× 24 0.9× 11 972
Sandro Lein Germany 7 227 0.3× 625 1.1× 97 1.2× 10 0.4× 24 0.9× 8 677
Esther M.N. Dohmann Germany 11 737 1.0× 683 1.2× 24 0.3× 17 0.6× 52 2.0× 12 886
Andrew Angel United Kingdom 8 468 0.6× 593 1.1× 34 0.4× 18 0.6× 42 1.6× 10 758
Özgen Deniz United Kingdom 10 382 0.5× 729 1.3× 93 1.2× 7 0.3× 14 0.5× 11 825
Robin Ganesan United States 8 309 0.4× 843 1.5× 81 1.0× 6 0.2× 19 0.7× 12 935

Countries citing papers authored by Nina Chumak

Since Specialization
Citations

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

Fields of papers citing papers by Nina Chumak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Chumak

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Chumak. A scholar is included among the top collaborators of Nina Chumak 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 Nina Chumak. Nina Chumak 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.
Schoft, Vera K., Nina Chumak, János Bindics, et al.. (2015). SYBR Green-activated sorting of Arabidopsis pollen nuclei based on different DNA/RNA content. Plant Reproduction. 28(1). 61–72. 13 indexed citations
2.
Chumak, Nina, Magdalena Mosiołek, & Vera K. Schoft. (2015). Sample Preparation and Fractionation of Arabidopsis thaliana Sperm and Vegetative Cell Nuclei by FACS. BIO-PROTOCOL. 5(22). 6 indexed citations
3.
Mérai, Zsuzsanna, Nina Chumak, Marcelina García-Aguilar, et al.. (2014). The AAA-ATPase molecular chaperone Cdc48/p97 disassembles sumoylated centromeres, decondenses heterochromatin, and activates ribosomal RNA genes. Proceedings of the National Academy of Sciences. 111(45). 16166–16171. 63 indexed citations
4.
Ibarra, Christian, Xiaoqi Feng, Vera K. Schoft, et al.. (2012). Active DNA Demethylation in Plant Companion Cells Reinforces Transposon Methylation in Gametes. Science. 337(6100). 1360–1364. 377 indexed citations breakdown →
5.
Xie, Lisi, et al.. (2011). UV‐B signaling pathways and fluence rate dependent transcriptional regulation of ARIADNE12. Physiologia Plantarum. 145(4). 527–539. 25 indexed citations
6.
Schoft, Vera K., Nina Chumak, Yeonhee Choi, et al.. (2011). Function of the DEMETER DNA glycosylase in the Arabidopsis thaliana male gametophyte. Proceedings of the National Academy of Sciences. 108(19). 8042–8047. 159 indexed citations
7.
Schoft, Vera K., Nina Chumak, Magdalena Mosiołek, et al.. (2009). Induction of RNA‐directed DNA methylation upon decondensation of constitutive heterochromatin. EMBO Reports. 10(9). 1015–1021. 130 indexed citations
8.
Eisenhaber, Birgit, Nina Chumak, Frank Eisenhaber, & Marie‐Theres Hauser. (2007). The ring between ring fingers (RBR) protein family. Genome Biology. 8(3). 209–209. 103 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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