Nick Kepper

909 total citations
19 papers, 624 citations indexed

About

Nick Kepper is a scholar working on Molecular Biology, Plant Science and Computer Networks and Communications. According to data from OpenAlex, Nick Kepper has authored 19 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Plant Science and 4 papers in Computer Networks and Communications. Recurrent topics in Nick Kepper's work include Genomics and Chromatin Dynamics (11 papers), Chromosomal and Genetic Variations (6 papers) and RNA and protein synthesis mechanisms (5 papers). Nick Kepper is often cited by papers focused on Genomics and Chromatin Dynamics (11 papers), Chromosomal and Genetic Variations (6 papers) and RNA and protein synthesis mechanisms (5 papers). Nick Kepper collaborates with scholars based in Germany, Netherlands and United States. Nick Kepper's co-authors include Karsten Rippe, Gero Wedemann, René Stehr, Robert Schöpflin, Tobias Knoch, Frank Grosveld, Kelly R. Molloy, Gregor Kreth, Kevin A. Peterson and Stefan Stein and has published in prestigious journals such as The Journal of Cell Biology, Nature Protocols and Biophysical Journal.

In The Last Decade

Nick Kepper

19 papers receiving 612 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Kepper Germany 11 583 165 60 18 18 19 624
Judith Miné-Hattab France 11 594 1.0× 78 0.5× 50 0.8× 14 0.8× 28 1.6× 19 637
Vоlodymyr Bondarenko Ukraine 4 569 1.0× 53 0.3× 57 0.9× 9 0.5× 19 1.1× 19 598
Eva Hannak Germany 6 885 1.5× 158 1.0× 78 1.3× 9 0.5× 12 0.7× 8 1.1k
Dongqing Pan Germany 10 474 0.8× 209 1.3× 49 0.8× 6 0.3× 10 0.6× 15 533
Jolien S. Verdaasdonk United States 9 421 0.7× 184 1.1× 26 0.4× 9 0.5× 11 0.6× 10 515
Judith F. Kribelbauer United States 11 548 0.9× 58 0.4× 122 2.0× 8 0.4× 22 1.2× 14 631
Roel Oldenkamp United Kingdom 6 479 0.8× 132 0.8× 61 1.0× 12 0.7× 30 1.7× 8 530
Helder Ferreira United Kingdom 14 1.2k 2.1× 170 1.0× 83 1.4× 91 5.1× 21 1.2× 17 1.3k
Sebastian Heeger Germany 8 777 1.3× 246 1.5× 55 0.9× 4 0.2× 16 0.9× 8 821

Countries citing papers authored by Nick Kepper

Since Specialization
Citations

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

Fields of papers citing papers by Nick Kepper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Kepper

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

All Works

19 of 19 papers shown
1.
Mallm, Jan‐Philipp, et al.. (2023). Epigenetic signals that direct cell type–specific interferon beta response in mouse cells. Life Science Alliance. 6(4). e202201823–e202201823. 7 indexed citations
2.
Chung, Inn, et al.. (2018). TelNet - a database for human and yeast genes involved in telomere maintenance. BMC Genetics. 19(1). 32–32. 35 indexed citations
3.
Kolovos, Petros, Rutger W. W. Brouwer, Christel Kockx, et al.. (2018). Investigation of the spatial structure and interactions of the genome at sub-kilobase-pair resolution using T2C. Nature Protocols. 13(3). 459–477. 10 indexed citations
4.
Knoch, Tobias, Malte Wachsmuth, Nick Kepper, et al.. (2016). The detailed 3D multi-loop aggregate/rosette chromatin architecture and functional dynamic organization of the human and mouse genomes. Epigenetics & Chromatin. 9(1). 19 indexed citations
5.
Teif, Vladimir B., Nick Kepper, Klaus Yserentant, Gero Wedemann, & Karsten Rippe. (2015). Affinity, stoichiometry and cooperativity of heterochromatin protein 1 (HP1) binding to nucleosomal arrays. Journal of Physics Condensed Matter. 27(6). 64110–64110. 18 indexed citations
6.
Müller, Oliver J., et al.. (2014). Changing Chromatin Fiber Conformation by Nucleosome Repositioning. Biophysical Journal. 107(9). 2141–2150. 34 indexed citations
7.
Kolovos, Petros, Harmen J.G. van de Werken, Nick Kepper, et al.. (2014). Targeted Chromatin Capture (T2C): a novel high resolution high throughput method to detect genomic interactions and regulatory elements. Epigenetics & Chromatin. 7(1). 10–10. 65 indexed citations
8.
Grunzke, Richard, Jürgen Hesser, Nick Kepper, et al.. (2014). Device-Driven Metadata Management Solutions for Scientific Big Data Use Cases. 99. 317–321. 6 indexed citations
9.
Kepper, Nick, et al.. (2011). Dissecting DNA-Histone Interactions in the Nucleosome by Molecular Dynamics Simulations of DNA Unwrapping. Biophysical Journal. 101(8). 1999–2008. 76 indexed citations
10.
Kepper, Nick, et al.. (2011). Force spectroscopy of chromatin fibers: Extracting energetics and structural information from Monte Carlo simulations. Biopolymers. 95(7). 435–447. 32 indexed citations
11.
Dickmann, Frank, Jochen Hampe, Michael Hausmann, et al.. (2011). Solutions for biomedical grid computing—Case studies from the D-Grid project Services@MediGRID. Journal of Computational Science. 3(5). 280–297. 3 indexed citations
12.
Stehr, René, et al.. (2010). Exploring the Conformational Space of Chromatin Fibers and Their Stability by Numerical Dynamic Phase Diagrams. Biophysical Journal. 98(6). 1028–1037. 35 indexed citations
13.
Dickmann, Frank, Mathias Kaspar, Nick Kepper, et al.. (2010). Evaluation of Visualization Approaches in a Biomedical Grid Environment. GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen). 147. 80–85. 2 indexed citations
14.
Kepper, Nick, Eberhard Schmitt, Yanina Weiland, et al.. (2010). Visualization, Analysis, and Design of COMBO-FISH Probes in the Grid-Based GLOBE 3D Genome Platform. Studies in health technology and informatics. 159. 171–80. 5 indexed citations
15.
Kepper, Nick, Frank Dickmann, René Stehr, et al.. (2010). Parallel High-Performance Grid Computing: Capabilities and Opportunities of a Novel Demanding Service and Business Class Allowing Highest Resource Efficiency. Studies in health technology and informatics. 159. 264–71. 2 indexed citations
16.
Dickmann, Frank, Ulrich Sax, Mathias Kaspar, et al.. (2009). Visualization in health-grid environments: a novel service and business approach. Grid economics and business models.. 2 indexed citations
17.
Stehr, René, Nick Kepper, Karsten Rippe, & Gero Wedemann. (2008). The Effect of Internucleosomal Interaction on Folding of the Chromatin Fiber. Biophysical Journal. 95(8). 3677–3691. 66 indexed citations
18.
Kepper, Nick, et al.. (2008). Nucleosome Geometry and Internucleosomal Interactions Control the Chromatin Fiber Conformation. Biophysical Journal. 95(8). 3692–3705. 91 indexed citations
19.
Shopland, Lindsay S., Christopher R. Lynch, Kevin A. Peterson, et al.. (2006). Folding and organization of a contiguous chromosome region according to the gene distribution pattern in primary genomic sequence. The Journal of Cell Biology. 174(1). 27–38. 116 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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