Kai Dierkes

28 total papers · 1.5k total citations
17 papers, 969 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 969 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 Advanced Materials and Mechanics (3 papers). Kai Dierkes is often cited by papers focused on Cellular Mechanics and Interactions (7 papers), Hearing, Cochlea, Tinnitus, Genetics (5 papers) and Advanced Materials and Mechanics (3 papers). Kai Dierkes collaborates with scholars based in Germany, Spain and United Kingdom. Kai Dierkes's co-authors include Andrew G. Clark, Ewa K. Paluch, Guillaume Salbreux, Benjamin Lindner, Frank Jülicher, Jérôme Solon, Anan Ragab, Guillaume Charras, Priyamvada Chugh and Davide A. D. Cassani 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 954 citations

Hit Papers

Actin cortex architecture... 2017 2026 2020 2023 2017 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kai Dierkes 527 293 224 197 197 17 969
S. Camalet 134 0.3× 233 0.8× 142 0.6× 95 0.5× 135 0.7× 27 1.0k
Nick Callamaras 146 0.3× 124 0.4× 70 0.3× 686 3.5× 41 0.2× 15 1.0k
Hayder Amin 243 0.5× 276 0.9× 22 0.1× 561 2.8× 296 1.5× 40 1.2k
Loïc LeGoff 487 0.9× 204 0.7× 29 0.1× 290 1.5× 13 0.1× 22 862
Masashi Tanimoto 174 0.3× 270 0.9× 62 0.3× 132 0.7× 195 1.0× 39 1.2k
David G. C. Hildebrand 200 0.4× 69 0.2× 36 0.2× 185 0.9× 193 1.0× 23 967
Chao-Tsung Yang 424 0.8× 63 0.2× 24 0.1× 382 1.9× 312 1.6× 13 1.1k
Sayak Bhattacharya 352 0.7× 98 0.3× 11 0.0× 424 2.2× 77 0.4× 38 901
Andrew Huxley 77 0.1× 205 0.7× 16 0.1× 391 2.0× 173 0.9× 48 1.0k
Jonathan Mapelli 58 0.1× 55 0.2× 199 0.9× 176 0.9× 542 2.8× 38 1.1k

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

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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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