Nadezda Kosyakova

2.9k total citations
96 papers, 1.7k citations indexed

About

Nadezda Kosyakova is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Nadezda Kosyakova has authored 96 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Genetics, 61 papers in Plant Science and 49 papers in Molecular Biology. Recurrent topics in Nadezda Kosyakova's work include Genomic variations and chromosomal abnormalities (64 papers), Chromosomal and Genetic Variations (60 papers) and Genomics and Chromatin Dynamics (26 papers). Nadezda Kosyakova is often cited by papers focused on Genomic variations and chromosomal abnormalities (64 papers), Chromosomal and Genetic Variations (60 papers) and Genomics and Chromatin Dynamics (26 papers). Nadezda Kosyakova collaborates with scholars based in Germany, Russia and Brazil. Nadezda Kosyakova's co-authors include Thomas Liehr, Anja Weise, Kristin Mrasek, Elisabeth Ewers, Vladimir A. Trifonov, Ahmed B. Hamid, Elisabeth Klein, Hasmik Mkrtchyan, Marcelo de Bello Cioffi and Samarth Bhatt and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.

In The Last Decade

Nadezda Kosyakova

93 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nadezda Kosyakova Germany 25 1.2k 762 762 409 142 96 1.7k
Rhea U. Vallente United States 11 1.5k 1.3× 1.4k 1.9× 1.1k 1.4× 203 0.5× 131 0.9× 23 2.2k
Ryuichi Ono Japan 17 1.1k 0.9× 1.6k 2.1× 363 0.5× 625 1.5× 155 1.1× 31 2.0k
Rabindranath De La Fuente United States 23 789 0.7× 2.3k 3.0× 257 0.3× 238 0.6× 108 0.8× 43 3.0k
Sylvia Erhardt Germany 18 987 0.8× 3.4k 4.4× 901 1.2× 526 1.3× 214 1.5× 31 3.7k
Joomyeong Kim United States 31 1.1k 1.0× 2.1k 2.7× 276 0.4× 431 1.1× 224 1.6× 91 2.5k
John Cobb United States 21 533 0.5× 1.4k 1.9× 274 0.4× 94 0.2× 191 1.3× 36 1.9k
Katia Ancelin France 17 844 0.7× 3.1k 4.0× 355 0.5× 143 0.3× 271 1.9× 29 3.6k
Siqin Bao China 17 482 0.4× 1.8k 2.4× 201 0.3× 152 0.4× 153 1.1× 58 2.2k
Sandrine Caburet France 23 686 0.6× 1.3k 1.7× 229 0.3× 98 0.2× 141 1.0× 39 1.9k
Takashi Sado Japan 28 2.1k 1.8× 3.5k 4.7× 402 0.5× 633 1.5× 565 4.0× 54 4.0k

Countries citing papers authored by Nadezda Kosyakova

Since Specialization
Citations

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

Fields of papers citing papers by Nadezda Kosyakova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadezda Kosyakova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadezda Kosyakova. A scholar is included among the top collaborators of Nadezda Kosyakova 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 Nadezda Kosyakova. Nadezda Kosyakova 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.
2.
Porokhovnik, Lev N., et al.. (2017). Effects of the copy number of ribosomal genes (genes for rRNA) on viability of subjects with chromosomal abnormalities. Gene. 611. 47–53. 7 indexed citations
3.
Porokhovnik, Lev N., et al.. (2017). Viability of carriers of chromosomal abnormalities depends on genomic dosage of active ribosomal genes (rRNA genes). Russian Journal of Genetics. 53(6). 703–711. 1 indexed citations
4.
Fischer, Melina, et al.. (2016). Large deletion on the Y-chromosome long arm (Yq) of C57BL/6JBomTac inbred mice. Mammalian Genome. 28(1-2). 31–37. 6 indexed citations
5.
Moysés‐Oliveira, Mariana, Roberta Santos Guilherme, Vera Ayres Meloni, et al.. (2015). X‐linked intellectual disability related genes disrupted by balanced X‐autosome translocations. American Journal of Medical Genetics Part B Neuropsychiatric Genetics. 168(8). 669–677. 28 indexed citations
6.
Alves, Gilda, et al.. (2014). Monitoring of gas station attendants exposure to benzene, toluene, xylene (BTX) using three-color chromosome painting. Molecular Cytogenetics. 7(1). 15–15. 39 indexed citations
7.
Porokhovnik, Lev N., et al.. (2014). Oxidative stress, rRNA genes, and antioxidant enzymes in pathogenesis of schizophrenia and autism: Modeling and clinical recommendations. Biology Bulletin Reviews. 4(5). 363–373. 4 indexed citations
8.
Liehr, Thomas, Nadezda Kosyakova, Radek Čmejla, et al.. (2013). A method to identify new molecular markers for assessing minimal residual disease in acute leukemia patients. Leukemia Research. 37(10). 1363–1373. 13 indexed citations
9.
Supiwong, Weerayuth, Thomas Liehr, Marcelo de Bello Cioffi, et al.. (2013). Karyotype and cytogenetic mapping of 9 classes of repetitive DNAs in the genome of the naked catfish Mystus bocourti (Siluriformes, Bagridae). Molecular Cytogenetics. 6(1). 51–51. 28 indexed citations
10.
Mrasek, Kristin, et al.. (2012). Copy number variations (CNVs) in human pluripotent cell-derived neuroprogenitors. Gene. 506(2). 377–379. 9 indexed citations
11.
Sheth, Frenny, Joris Andrieux, Elisabeth Ewers, et al.. (2011). Characterization of sSMC by FISH and molecular techniques. European Journal of Medical Genetics. 54(3). 247–255. 14 indexed citations
12.
Mkrtchyan, Hasmik, Sophie Hinreiner, Marina Manvelyan, et al.. (2010). The Human Genome Puzzle — the Role of Copy Number Variation in Somatic Mosaicism. Current Genomics. 11(6). 426–431. 30 indexed citations
13.
Ktistaki, Eleni, Anna Garefalaki, Adam Williams, et al.. (2010). CD8 Locus Nuclear Dynamics during Thymocyte Development. The Journal of Immunology. 184(10). 5686–5695. 15 indexed citations
14.
Liehr, Thomas, Iris Bartels, Barbara Zoll, et al.. (2010). Is There a Yet Unreported Unbalanced Chromosomal Abnormality without Phenotypic Consequences in Proximal 4p?. Cytogenetic and Genome Research. 132(1-2). 121–123. 3 indexed citations
15.
Mkrtchyan, Hasmik, Sophie Hinreiner, Marina Manvelyan, et al.. (2010). Early Embryonic Chromosome Instability Results in Stable Mosaic Pattern in Human Tissues. PLoS ONE. 5(3). e9591–e9591. 41 indexed citations
16.
Liehr, Thomas, Markus Stümm, R.‐D. Wegner, et al.. (2009). 10p11.2 to 10q11.2 is a yet unreported region leading to unbalanced chromosomal abnormalities without phenotypic consequences. Cytogenetic and Genome Research. 124(1). 102–105. 27 indexed citations
17.
Kosyakova, Nadezda, et al.. (2009). The hierarchically organized splitting of chromosomal bands for all human chromosomes. Molecular Cytogenetics. 2(1). 4–4. 10 indexed citations
18.
Liehr, Thomas, et al.. (2009). Handling small supernumerary marker chromosomes in prenatal diagnostics. Expert Review of Molecular Diagnostics. 9(4). 317–324. 51 indexed citations
19.
Backx, Liesbeth, Hilde Van Esch, Cindy Melotte, et al.. (2007). Array painting using microdissected chromosomes to map chromosomal breakpoints. Cytogenetic and Genome Research. 116(3). 158–166. 35 indexed citations
20.
Brečević, Lukrecija, S. Michel, Heike Starke, et al.. (2006). Multicolor FISH used for the characterization of small supernumerary marker chromosomes (sSMC) in commercially available immortalized cell lines. Cytogenetic and Genome Research. 114(3-4). 319–324. 11 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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