Kerstin Bystricky

3.8k total citations
55 papers, 2.6k citations indexed

About

Kerstin Bystricky is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Kerstin Bystricky has authored 55 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Molecular Biology, 14 papers in Genetics and 12 papers in Plant Science. Recurrent topics in Kerstin Bystricky's work include Genomics and Chromatin Dynamics (32 papers), RNA Research and Splicing (17 papers) and Chromosomal and Genetic Variations (10 papers). Kerstin Bystricky is often cited by papers focused on Genomics and Chromatin Dynamics (32 papers), RNA Research and Splicing (17 papers) and Chromosomal and Genetic Variations (10 papers). Kerstin Bystricky collaborates with scholars based in France, Switzerland and United States. Kerstin Bystricky's co-authors include Timothy J. Richmond, Thomas Schalch, Susan M. Gasser, Mathieu Dalvai, Haitham A. Shaban, Silvia Kocanova, Roman Barth, Lutz R. Gehlen, Jörg Langowski and Patrick Heun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Kerstin Bystricky

55 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kerstin Bystricky France 29 2.3k 451 292 131 115 55 2.6k
Assen Roguev United States 24 2.1k 0.9× 263 0.6× 253 0.9× 125 1.0× 41 0.4× 44 2.4k
Olivier Gadal France 31 3.4k 1.5× 310 0.7× 178 0.6× 195 1.5× 50 0.4× 58 3.5k
Hung‐Yi Wu Taiwan 19 1.2k 0.5× 234 0.5× 193 0.7× 183 1.4× 33 0.3× 30 1.9k
Daniel Shoemaker United States 14 2.8k 1.2× 258 0.6× 332 1.1× 112 0.9× 22 0.2× 26 3.2k
Vasily M. Studitsky United States 35 5.1k 2.2× 591 1.3× 409 1.4× 350 2.7× 31 0.3× 150 5.5k
Sandra Goetze Switzerland 19 1.2k 0.5× 218 0.5× 262 0.9× 182 1.4× 31 0.3× 39 1.5k
Michael J. Trnka United States 21 2.6k 1.1× 309 0.7× 137 0.5× 67 0.5× 31 0.3× 34 2.9k
Roman Fedorov Germany 24 971 0.4× 339 0.8× 127 0.4× 93 0.7× 38 0.3× 50 1.5k
Jennifer F. Kugel United States 25 2.5k 1.1× 317 0.7× 222 0.8× 127 1.0× 27 0.2× 62 3.0k
Ronald Hancock Canada 26 1.5k 0.6× 153 0.3× 198 0.7× 180 1.4× 37 0.3× 42 1.8k

Countries citing papers authored by Kerstin Bystricky

Since Specialization
Citations

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

Fields of papers citing papers by Kerstin Bystricky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kerstin Bystricky

This figure shows the co-authorship network connecting the top 25 collaborators of Kerstin Bystricky. A scholar is included among the top collaborators of Kerstin Bystricky 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 Kerstin Bystricky. Kerstin Bystricky 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.
Pomp, Wim, Karen J. Meaburn, Silvia Kocanova, et al.. (2024). Transcription processes compete with loop extrusion to homogenize promoter and enhancer dynamics. Science Advances. 10(50). eadq0987–eadq0987. 11 indexed citations
2.
3.
Gallardo, Franck, D Schmitt, Nathalie Silvestre, et al.. (2020). Fluorescent Tagged Vaccinia Virus Genome Allows Rapid and Efficient Measurement of Oncolytic Potential and Discovery of Oncolytic Modulators. Biomedicines. 8(12). 543–543. 10 indexed citations
4.
Desbois, Nicolas, et al.. (2020). A3- and A2B-fluorocorroles: synthesis, X-ray characterization and antiviral activity evaluation against human cytomegalovirus infection. RSC Medicinal Chemistry. 11(7). 783–801. 8 indexed citations
5.
Desbois, Nicolas, et al.. (2020). A3- and A2B-nitrocorroles: synthesis and antiviral activity evaluation against human cytomegalovirus infection. RSC Medicinal Chemistry. 11(7). 771–782. 8 indexed citations
6.
Shaban, Haitham A., et al.. (2020). Hi-D: nanoscale mapping of nuclear dynamics in single living cells. Genome biology. 21(1). 95–95. 68 indexed citations
7.
Socol, Marius, Renjie Wang, Daniel Jost, et al.. (2019). Rouse model with transient intramolecular contacts on a timescale of seconds recapitulates folding and fluctuation of yeast chromosomes. Nucleic Acids Research. 47(12). 6195–6207. 44 indexed citations
8.
9.
Martı́-Renom, Marc A., Wendy A. Bickmore, Kerstin Bystricky, et al.. (2018). Challenges and guidelines toward 4D nucleome data and model standards. Nature Genetics. 50(10). 1352–1358. 38 indexed citations
10.
Kocanova, Silvia, et al.. (2018). Real-time imaging of specific genomic loci in eukaryotic cells using the ANCHOR DNA labelling system. Methods. 142. 16–23. 26 indexed citations
11.
Kocanova, Silvia, Isabelle Goiffon, & Kerstin Bystricky. (2018). 3D FISH to analyse gene domain-specific chromatin re-modeling in human cancer cell lines. Methods. 142. 3–15. 6 indexed citations
12.
Bayindir‐Buchhalter, Irem, Silvia Kocanova, Isabel Sousa, et al.. (2015). Transcriptional Pathways in cPGI2-Induced Adipocyte Progenitor Activation for Browning. Frontiers in Endocrinology. 6. 129–129. 27 indexed citations
13.
Belton, Jon-Matthew, Bryan R. Lajoie, Sylvain Cantaloube, et al.. (2015). The Conformation of Yeast Chromosome III Is Mating Type Dependent and Controlled by the Recombination Enhancer. Cell Reports. 13(9). 1855–1867. 28 indexed citations
14.
Bystricky, Kerstin. (2015). Chromosome dynamics and folding in eukaryotes: Insights from live cell microscopy. FEBS Letters. 589(20PartA). 3014–3022. 26 indexed citations
15.
Gallardo, Franck, et al.. (2014). DNA Dynamics during Early Double-Strand Break Processing Revealed by Non-Intrusive Imaging of Living Cells. PLoS Genetics. 10(3). e1004187–e1004187. 102 indexed citations
16.
Bellucci, Luca Giorgio, et al.. (2013). Activation of p21 by HDAC Inhibitors Requires Acetylation of H2A.Z. PLoS ONE. 8(1). e54102–e54102. 36 indexed citations
17.
Dalvai, Mathieu, et al.. (2013). TIP48/Reptin and H2A.Z Requirement for Initiating Chromatin Remodeling in Estrogen-Activated Transcription. PLoS Genetics. 9(4). e1003387–e1003387. 33 indexed citations
18.
Médina, Philippe de, Salvatore Genovese, Michaël R. Paillasse, et al.. (2010). Auraptene Is an Inhibitor of Cholesterol Esterification and a Modulator of Estrogen Receptors. Molecular Pharmacology. 78(5). 827–836. 55 indexed citations
19.
Kocanova, Silvia, et al.. (2010). Ligands specify estrogen receptor alpha nuclear localization and degradation. BMC Cell Biology. 11(1). 98–98. 57 indexed citations
20.
Hajjoul, Houssam, Silvia Kocanova, Imen Lassadi, Kerstin Bystricky, & Aurélien Bancaud. (2009). Lab-on-Chip for fast 3D particle tracking in living cells. Lab on a Chip. 9(21). 3054–3054. 33 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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