Kai Dierkes

1.5k total citations · 1 hit paper
17 papers, 976 citations indexed

About

Kai Dierkes is a scholar working on Cell Biology, Sensory Systems and Cognitive Neuroscience. According to data from OpenAlex, Kai Dierkes has authored 17 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 5 papers in Sensory Systems and 4 papers in Cognitive Neuroscience. Recurrent topics in Kai Dierkes's work include Cellular Mechanics and Interactions (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Marine animal studies overview (3 papers). Kai Dierkes is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Marine animal studies overview (3 papers). Kai Dierkes collaborates with scholars based in Germany, Spain and United Kingdom. Kai Dierkes's co-authors include Ewa K. Paluch, Andrew G. Clark, Guillaume Salbreux, Benjamin Lindner, Frank Jülicher, Jérôme Solon, Davide A. D. Cassani, Philippe P. Roux, Priyamvada Chugh and Guillaume Charras and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Cell Biology.

In The Last Decade

Kai Dierkes

16 papers receiving 961 citations

Hit Papers

Actin cortex architecture regulates cell surface tension 2017 2026 2020 2023 2017 50 100 150 200 250
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Actin cortex architecture regulates cell surface tension
    2017 290 citations Priyamvada Chugh, Andrew G. Clark et al. Nature Cell Biology profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Dierkes Germany 13 529 295 225 197 196 17 976
Thomas Risler France 12 302 0.6× 263 0.9× 137 0.6× 81 0.4× 103 0.5× 17 635
Richard Gerum Germany 17 244 0.5× 224 0.8× 67 0.3× 139 0.7× 97 0.5× 36 731
Volker Bormuth Germany 18 915 1.7× 266 0.9× 45 0.2× 125 0.6× 702 3.6× 31 1.5k
Masashi Tanimoto Japan 17 177 0.3× 270 0.9× 62 0.3× 196 1.0× 133 0.7× 39 1.2k
Andrej Vilfan Slovenia 21 321 0.6× 544 1.8× 43 0.2× 48 0.2× 376 1.9× 60 1.6k
Hunter Elliott United States 17 916 1.7× 189 0.6× 43 0.2× 115 0.6× 971 5.0× 31 2.0k
Matthias Kaschube Germany 18 1.4k 2.6× 371 1.3× 23 0.1× 513 2.6× 854 4.4× 46 2.4k
Hervé Rouault France 12 554 1.0× 132 0.4× 37 0.2× 216 1.1× 573 2.9× 15 1.4k
Netta Cohen United Kingdom 19 134 0.3× 131 0.4× 24 0.1× 234 1.2× 405 2.1× 48 1.6k
Sietse M. van Netten Netherlands 20 64 0.1× 271 0.9× 735 3.3× 273 1.4× 239 1.2× 36 1.5k

Countries citing papers authored by Kai Dierkes

Since Specialization
Citations

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

Fields of papers citing papers by Kai Dierkes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Dierkes

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

All Works

17 of 17 papers shown
1.
Dierkes, Kai, et al.. (2023). Quantitative videomicroscopy reveals latent control of cell-pair rotations in vivo. Development. 150(9). 5 indexed citations
2.
Dierkes, Kai, et al.. (2019). In Vivo Force Application Reveals a Fast Tissue Softening and External Friction Increase during Early Embryogenesis. Current Biology. 29(9). 1564–1571.e6. 47 indexed citations
3.
Colombelli, Julien, et al.. (2018). Adherens Junction Length during Tissue Contraction Is Controlled by the Mechanosensitive Activity of Actomyosin and Junctional Recycling. Developmental Cell. 47(4). 453–463.e3. 52 indexed citations
4.
Chugh, Priyamvada, Andrew G. Clark, Matthew B. Smith, et al.. (2017). Actin cortex architecture regulates cell surface tension. Nature Cell Biology. 19(6). 689–697. 290 indexed citations breakdown →
5.
Dierkes, Kai, et al.. (2016). Patterned Contractile Forces Promote Epidermal Spreading and Regulate Segment Positioning during Drosophila Head Involution. Current Biology. 26(14). 1895–1901. 13 indexed citations
6.
Dierkes, Kai, et al.. (2014). Spontaneous Oscillations of Elastic Contractile Materials with Turnover. Physical Review Letters. 113(14). 148102–148102. 63 indexed citations
7.
Clark, Andrew G., Kai Dierkes, & Ewa K. Paluch. (2013). Monitoring Actin Cortex Thickness in Live Cells. Biophysical Journal. 105(3). 570–580. 171 indexed citations
8.
Dierkes, Kai, Frank Jülicher, & Benjamin Lindner. (2012). A mean-field approach to elastically coupled hair bundles. The European Physical Journal E. 35(5). 37–37. 13 indexed citations
9.
Neiman, Alexander, et al.. (2011). Spontaneous voltage oscillations and response dynamics of a Hodgkin-Huxley type model of sensory hair cells. PubMed. 1(1). 11–11. 23 indexed citations
10.
Barral, Jérémie, Kai Dierkes, Benjamin Lindner, Frank Jülicher, & Pascal Martin. (2010). Coupling a Sensory Hair-Cell Bundle to Cyber Clones Enhances Nonlinear Amplification. Biophysical Journal. 98(3). 508a–508a. 1 indexed citations
11.
Ashmore, Jonathan, Paul Avan, William E. Brownell, et al.. (2010). The remarkable cochlear amplifier. Hearing Research. 266(1-2). 1–17. 153 indexed citations
12.
Barral, Jérémie, Kai Dierkes, Benjamin Lindner, Frank Jülicher, & Pascal Martin. (2010). Correction for "Coupling a sensory hair-cell bundle to cyber clones enhances nonlinear amplification". MPG.PuRe (Max Planck Society). 107(23). 10765–10765. 1 indexed citations
13.
Barral, Jérémie, Kai Dierkes, Benjamin Lindner, Frank Jülicher, & Pascal Martin. (2010). Coupling a sensory hair-cell bundle to cyber clones enhances nonlinear amplification. Proceedings of the National Academy of Sciences. 107(18). 8079–8084. 37 indexed citations
14.
Dierkes, Kai. (2010). Nonlinear amplification by active sensory hair bundles. Qucosa (Saxon State and University Library Dresden).
15.
Lindner, Benjamin, Kai Dierkes, & Frank Jülicher. (2009). Local Exponents of Nonlinear Compression in Periodically Driven Noisy Oscillators. Physical Review Letters. 103(25). 250601–250601. 21 indexed citations
16.
Jülicher, Frank, Kai Dierkes, Benjamin Lindner, Jacques Prost, & Pascal Martin. (2009). Spontaneous movements and linear response of a noisy oscillator. The European Physical Journal E. 29(4). 449–460. 24 indexed citations
17.
Dierkes, Kai, Benjamin Lindner, & Frank Jülicher. (2008). Enhancement of sensitivity gain and frequency tuning by coupling of active hair bundles. Proceedings of the National Academy of Sciences. 105(48). 18669–18674. 62 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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