Alexander Kagansky

2.0k total citations
30 papers, 1.6k citations indexed

About

Alexander Kagansky is a scholar working on Molecular Biology, Plant Science and Oncology. According to data from OpenAlex, Alexander Kagansky has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 8 papers in Plant Science and 5 papers in Oncology. Recurrent topics in Alexander Kagansky's work include Genomics and Chromatin Dynamics (9 papers), Plant Virus Research Studies (5 papers) and Chromosomal and Genetic Variations (4 papers). Alexander Kagansky is often cited by papers focused on Genomics and Chromatin Dynamics (9 papers), Plant Virus Research Studies (5 papers) and Chromosomal and Genetic Variations (4 papers). Alexander Kagansky collaborates with scholars based in United Kingdom, Russia and Japan. Alexander Kagansky's co-authors include Robin C. Allshire, Alison L. Pidoux, Juri Rappsilber, Takeshi Urano, Elizabeth H. Bayne, Pin Tong, Manu Shukla, Pauline Audergon, Sandra Catania and Georgina L. Hamilton and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Alexander Kagansky

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Kagansky United Kingdom 17 1.2k 560 148 128 105 30 1.6k
Guosheng Li China 19 583 0.5× 496 0.9× 142 1.0× 51 0.4× 112 1.1× 65 1.2k
H. Gut Switzerland 20 1.3k 1.0× 216 0.4× 96 0.6× 113 0.9× 36 0.3× 26 1.6k
Thomas Brefort Germany 15 767 0.6× 522 0.9× 268 1.8× 180 1.4× 50 0.5× 16 1.2k
Sunil Laxman India 22 1.0k 0.8× 107 0.2× 75 0.5× 100 0.8× 44 0.4× 55 1.4k
Haijie Ma China 19 606 0.5× 405 0.7× 250 1.7× 170 1.3× 62 0.6× 47 1.1k
Tong Gao China 19 391 0.3× 192 0.3× 119 0.8× 154 1.2× 46 0.4× 48 853
Michel Werner France 39 3.5k 2.8× 427 0.8× 70 0.5× 188 1.5× 50 0.5× 62 3.7k
Fumiko Taguchi Japan 25 691 0.6× 1.2k 2.1× 39 0.3× 98 0.8× 37 0.4× 62 1.9k
Jim Dover United States 13 3.5k 2.8× 780 1.4× 73 0.5× 181 1.4× 68 0.6× 13 3.8k
Yong‐Tae Kim South Korea 15 700 0.6× 161 0.3× 95 0.6× 156 1.2× 113 1.1× 33 1.1k

Countries citing papers authored by Alexander Kagansky

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Kagansky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Kagansky

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Kagansky. A scholar is included among the top collaborators of Alexander Kagansky 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 Alexander Kagansky. Alexander Kagansky 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.
Гончаров, Н. В., et al.. (2022). Single-nucleus transcriptomics of IDH1- and TP53-mutant glioma stem cells displays diversified commitment on invasive cancer progenitors. Scientific Reports. 12(1). 18975–18975. 13 indexed citations
2.
Rozenberg, Julian M., Svetlana Zvereva, Ilya Zubarev, et al.. (2021). Dual Role of p73 in Cancer Microenvironment and DNA Damage Response. Cells. 10(12). 3516–3516. 16 indexed citations
3.
Garaeva, Luiza, Roman Kamyshinsky, Yury Kil, et al.. (2021). Delivery of functional exogenous proteins by plant-derived vesicles to human cells in vitro. Scientific Reports. 11(1). 6489–6489. 104 indexed citations
4.
Rozenberg, Julian M., Svetlana Zvereva, Ilya Zubarev, et al.. (2021). The p53 family member p73 in the regulation of cell stress response. Biology Direct. 16(1). 23–23. 49 indexed citations
5.
Kagansky, Alexander, et al.. (2019). The Extracellular Matrix and Biocompatible Materials in Glioblastoma Treatment. Frontiers in Bioengineering and Biotechnology. 7. 341–341. 65 indexed citations
6.
Kumeiko, Vadim, et al.. (2018). Molecular Mechanisms Governing the Stem Cell’s Fate in Brain Cancer: Factors of Stemness and Quiescence. Frontiers in Cellular Neuroscience. 12. 388–388. 33 indexed citations
7.
MacLeod, Kenneth G., Giovanny Rodriguez Blanco, Vladimir Larionov, et al.. (2017). Global histone modification fingerprinting in human cells using epigenetic reverse phase protein array. Cell Death Discovery. 3(1). 16077–16077. 10 indexed citations
8.
Neergheen, Vidushi S., Almas Taj Awan, Yusuf Baran, et al.. (2017). Biodiversity, drug discovery, and the future of global health: Introducing the biodiversity to biomedicine consortium, a call to action. Journal of Global Health. 7(2). 20304–20304. 26 indexed citations
9.
Rybtsov, Stanislav, et al.. (2016). Ethical and scientific aspects of human embryonic material research: the Great Britain regulations. Genes and Cells. 11(1). 82–89. 1 indexed citations
10.
Audergon, Pauline, Sandra Catania, Alexander Kagansky, et al.. (2015). Restricted epigenetic inheritance of H3K9 methylation. Science. 348(6230). 132–135. 202 indexed citations
11.
Blanco, Giovanny Rodriguez, et al.. (2015). Pilot RNAi screening using mammalian cell-based system identifies novel putative silencing factors including Kat5/Tip60. SHILAP Revista de lepidopterología. 2(4). 570–584. 2 indexed citations
12.
Bayne, Elizabeth H., Sharon A. White, Alexander Kagansky, et al.. (2010). Stc1: A Critical Link between RNAi and Chromatin Modification Required for Heterochromatin Integrity. Cell. 140(5). 666–677. 176 indexed citations
13.
Anderson, Holly E., et al.. (2010). Silencing Mediated by the Schizosaccharomyces pombe HIRA Complex Is Dependent upon the Hpc2-Like Protein, Hip4. PLoS ONE. 5(10). e13488–e13488. 25 indexed citations
14.
Simmer, Femke, Alessia Buscaino, Isabelle C. Kos‐Braun, et al.. (2010). Hairpin RNA induces secondary small interfering RNA synthesis and silencing in trans in fission yeast. EMBO Reports. 11(2). 112–118. 51 indexed citations
15.
Kagansky, Alexander, H. Diego Folco, Ricardo Almeida, et al.. (2009). Synthetic Heterochromatin Bypasses RNAi and Centromeric Repeats to Establish Functional Centromeres. Science. 324(5935). 1716–1719. 132 indexed citations
16.
Pidoux, Alison L., Eun Shik Choi, Xingkun Liu, et al.. (2009). Fission Yeast Scm3: A CENP-A Receptor Required for Integrity of Subkinetochore Chromatin. Molecular Cell. 33(3). 299–311. 159 indexed citations
17.
Djupedal, Ingela, Isabelle C. Kos‐Braun, Rebecca A. Mosher, et al.. (2009). Analysis of small RNA in fission yeast; centromeric siRNAs are potentially generated through a structured RNA. The EMBO Journal. 28(24). 3832–3844. 63 indexed citations
18.
Bayne, Elizabeth H., Manuela Portoso, Alexander Kagansky, et al.. (2008). Splicing Factors Facilitate RNAi-Directed Silencing in Fission Yeast. Science. 322(5901). 602–606. 107 indexed citations
19.
Kagansky, Alexander, et al.. (2004). Histone Tail-independent Chromatin Binding Activity of Recombinant Cohesin Holocomplex. Journal of Biological Chemistry. 279(5). 3382–3388. 13 indexed citations
20.

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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