Stephan Diekmann

7.1k total citations
121 papers, 5.7k citations indexed

About

Stephan Diekmann is a scholar working on Molecular Biology, Plant Science and Cell Biology. According to data from OpenAlex, Stephan Diekmann has authored 121 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 96 papers in Molecular Biology, 24 papers in Plant Science and 23 papers in Cell Biology. Recurrent topics in Stephan Diekmann's work include DNA and Nucleic Acid Chemistry (40 papers), Genomics and Chromatin Dynamics (30 papers) and Microtubule and mitosis dynamics (22 papers). Stephan Diekmann is often cited by papers focused on DNA and Nucleic Acid Chemistry (40 papers), Genomics and Chromatin Dynamics (30 papers) and Microtubule and mitosis dynamics (22 papers). Stephan Diekmann collaborates with scholars based in Germany, United Kingdom and United States. Stephan Diekmann's co-authors include David M.J. Lilley, Peter Hemmerich, Robert M. Clegg, Eberhard von Kitzing, Christian Hoischen, James C. Wang, Alastair I.H. Murchie, Alexander Hillisch, Mike Lorenz and Lars Schmiedeberg and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Stephan Diekmann

121 papers receiving 5.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephan Diekmann Germany 41 4.7k 778 689 680 536 121 5.7k
Yoshifumi Nishimura Japan 44 5.0k 1.1× 806 1.0× 469 0.7× 379 0.6× 342 0.6× 198 6.2k
Marc le Maire France 47 5.1k 1.1× 360 0.5× 428 0.6× 541 0.8× 299 0.6× 143 6.6k
A.S. Arvai United States 43 5.5k 1.2× 1.2k 1.6× 1.0k 1.5× 634 0.9× 967 1.8× 61 7.8k
Lawrence P. McIntosh Canada 48 5.8k 1.2× 477 0.6× 621 0.9× 435 0.6× 207 0.4× 145 7.5k
Carola Hunte Germany 41 5.6k 1.2× 387 0.5× 432 0.6× 465 0.7× 272 0.5× 94 6.8k
Lars‐Oliver Essen Germany 49 6.1k 1.3× 3.1k 3.9× 445 0.6× 571 0.8× 193 0.4× 174 8.7k
Francesc Avilés Spain 52 7.1k 1.5× 416 0.5× 668 1.0× 903 1.3× 907 1.7× 266 9.9k
P. Brick United Kingdom 27 5.2k 1.1× 235 0.3× 743 1.1× 394 0.6× 120 0.2× 40 6.3k
Albert M. Berghuis Canada 39 4.5k 1.0× 223 0.3× 522 0.8× 886 1.3× 167 0.3× 116 5.9k
Martin R. Webb United Kingdom 42 4.3k 0.9× 205 0.3× 639 0.9× 1.1k 1.7× 170 0.3× 131 5.8k

Countries citing papers authored by Stephan Diekmann

Since Specialization
Citations

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

Fields of papers citing papers by Stephan Diekmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephan Diekmann

This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Diekmann. A scholar is included among the top collaborators of Stephan Diekmann 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 Stephan Diekmann. Stephan Diekmann 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
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Matthäus, Christian, et al.. (2017). Raman and infrared spectroscopy differentiate senescent from proliferating cells in a human dermal fibroblast 3D skin model. The Analyst. 142(23). 4405–4414. 20 indexed citations
4.
Marthandan, Shiva, Uwe Menzel, Stefan Priebe, et al.. (2016). Conserved genes and pathways in primary human fibroblast strains undergoing replicative and radiation induced senescence. Biological Research. 49(1). 34–34. 32 indexed citations
5.
Marthandan, Shiva, Mario Baumgart, Stefan Priebe, et al.. (2016). Conserved Senescence Associated Genes and Pathways in Primary Human Fibroblasts Detected by RNA-Seq. PLoS ONE. 11(5). e0154531–e0154531. 73 indexed citations
6.
Schäuble, Sascha, Karolin Klement, Shiva Marthandan, et al.. (2012). Quantitative Model of Cell Cycle Arrest and Cellular Senescence in Primary Human Fibroblasts. PLoS ONE. 7(8). e42150–e42150. 29 indexed citations
7.
Wu, Mei‐Yi, Massimiliano Zampini, Malte Bussiek, et al.. (2011). Segrosome assembly at the pliable parH centromere. Nucleic Acids Research. 39(12). 5082–5097. 15 indexed citations
8.
Ibrahim, Bashar, et al.. (2009). The role of localization in the operation of the mitotic spindle assembly checkpoint. Cell Cycle. 8(16). 2650–2660. 24 indexed citations
9.
Bussiek, Malte, Christian Hoischen, Stephan Diekmann, & Martin L. Bennink. (2009). Sequence-specific physical properties of African green monkey alpha-satellite DNA contribute to centromeric heterochromatin formation. Journal of Structural Biology. 167(1). 36–46. 11 indexed citations
10.
Hemmerich, Peter, Stefanie Weidtkamp‐Peters, Christian Hoischen, et al.. (2008). Dynamics of inner kinetochore assembly and maintenance in living cells. The Journal of Cell Biology. 180(6). 1101–1114. 155 indexed citations
11.
Gellermann, Gerald, et al.. (2007). Identification of molecular compounds critical to Alzheimer's‐like plaque formation. Journal of Neuroscience Research. 85(9). 2037–2044. 3 indexed citations
12.
Hoischen, Christian, Malte Bussiek, Jörg Langowski, & Stephan Diekmann. (2007). Escherichia coli low-copy-number plasmid R1 centromere parC forms a U-shaped complex with its binding protein ParR. Nucleic Acids Research. 36(2). 607–615. 11 indexed citations
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Gellermann, Gerald, Thomas Appel, Astrid Tannert, et al.. (2005). Raft lipids as common components of human extracellular amyloid fibrils. Proceedings of the National Academy of Sciences. 102(18). 6297–6302. 170 indexed citations
14.
Fritzemeier, Karl‐Heinrich, et al.. (2005). Molecular Basis of the Interaction Specificity between the Human Glucocorticoid Receptor and Its Endogenous Steroid Ligand Cortisol. ChemBioChem. 6(6). 1110–1118. 21 indexed citations
15.
Schmiedeberg, Lars, et al.. (2004). High- and Low-mobility Populations of HP1 in Heterochromatin of Mammalian Cells. Molecular Biology of the Cell. 15(6). 2819–2833. 135 indexed citations
16.
Siddiqui, Roman A., et al.. (2003). Mutagenesis study on the role of a lysine residue highly conserved in formate dehydrogenases and periplasmic nitrate reductases. Biochemical and Biophysical Research Communications. 310(1). 40–47. 19 indexed citations
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Lorenz, Mike & Stephan Diekmann. (2001). Quantitative distance information on protein-DNA complexes determined in polyacrylamide gels by fluorescence resonance energy transfer. Electrophoresis. 22(6). 990–998. 16 indexed citations
19.
Steinrücke, Peter, et al.. (2000). Design of Helical Proteins for Real-Time Endoprotease Assays. Analytical Biochemistry. 286(1). 26–34. 22 indexed citations
20.
Diekmann, Stephan & David A. Zarling. (1987). Unique poly(dA) poly(dT) B'-conformation in cellular and synthetic DNAs. Nucleic Acids Research. 15(15). 6063–6074. 27 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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