Cees Dekker

74.0k total citations · 24 hit papers
409 papers, 54.2k citations indexed

About

Cees Dekker is a scholar working on Molecular Biology, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Cees Dekker has authored 409 papers receiving a total of 54.2k indexed citations (citations by other indexed papers that have themselves been cited), including 179 papers in Molecular Biology, 168 papers in Biomedical Engineering and 102 papers in Materials Chemistry. Recurrent topics in Cees Dekker's work include Nanopore and Nanochannel Transport Studies (125 papers), Carbon Nanotubes in Composites (64 papers) and Advanced biosensing and bioanalysis techniques (59 papers). Cees Dekker is often cited by papers focused on Nanopore and Nanochannel Transport Studies (125 papers), Carbon Nanotubes in Composites (64 papers) and Advanced biosensing and bioanalysis techniques (59 papers). Cees Dekker collaborates with scholars based in Netherlands, United States and Germany. Cees Dekker's co-authors include Sander J. Tans, Alwin R. M. Verschueren, Zhen Yao, R. E. Smalley, Derek Stein, Serge G. Lemay, H.W. Zandbergen, Nynke H. Dekker, Henk W. Ch. Postma and Liesbeth Venema and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Cees Dekker

407 papers receiving 52.7k citations

Hit Papers

Room-temperature transistor based on a single carbon nano... 1997 2026 2006 2016 1998 1998 1997 2001 2007 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cees Dekker Netherlands 106 24.2k 21.7k 15.5k 14.5k 10.2k 409 54.2k
Juan Pablo United States 100 9.5k 0.4× 18.0k 0.8× 3.9k 0.3× 6.9k 0.5× 5.1k 0.5× 790 37.7k
Wolfgang Knoll Germany 96 14.8k 0.6× 9.7k 0.4× 14.5k 0.9× 13.2k 0.9× 5.9k 0.6× 887 38.7k
Daan Frenkel Netherlands 101 13.7k 0.6× 27.3k 1.3× 2.3k 0.1× 7.2k 0.5× 9.0k 0.9× 505 48.9k
Paras N. Prasad United States 118 26.6k 1.1× 37.8k 1.7× 12.9k 0.8× 8.2k 0.6× 7.7k 0.8× 937 62.1k
Thomas A. Witten United States 49 7.7k 0.3× 11.5k 0.5× 7.4k 0.5× 2.5k 0.2× 4.1k 0.4× 157 32.5k
Richard P. Van Duyne United States 117 39.4k 1.6× 26.0k 1.2× 13.3k 0.9× 20.3k 1.4× 9.5k 0.9× 388 77.3k
George C. Schatz United States 141 37.1k 1.5× 38.0k 1.8× 15.4k 1.0× 18.7k 1.3× 24.9k 2.4× 1.1k 99.3k
Paul Mulvaney Australia 100 14.9k 0.6× 23.2k 1.1× 10.9k 0.7× 5.4k 0.4× 7.3k 0.7× 373 42.7k
Giulio Cerullo Italy 83 5.7k 0.2× 7.4k 0.3× 11.5k 0.7× 2.1k 0.1× 14.1k 1.4× 801 28.3k
Mostafa A. El‐Sayed United States 121 41.8k 1.7× 49.8k 2.3× 15.3k 1.0× 19.1k 1.3× 7.5k 0.7× 621 103.1k

Countries citing papers authored by Cees Dekker

Since Specialization
Citations

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

Fields of papers citing papers by Cees Dekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cees Dekker

This figure shows the co-authorship network connecting the top 25 collaborators of Cees Dekker. A scholar is included among the top collaborators of Cees Dekker 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 Cees Dekker. Cees Dekker 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.
Barth, Roman, Iain F. Davidson, Jaco van der Torre, et al.. (2025). SMC motor proteins extrude DNA asymmetrically and can switch directions. Cell. 188(3). 749–763.e21. 15 indexed citations
2.
Bock, Florian Patrick, et al.. (2024). Direct observation of a crescent-shape chromosome in expanded Bacillus subtilis cells. Nature Communications. 15(1). 2737–2737. 2 indexed citations
3.
Nova, Ian C., et al.. (2023). Detection of phosphorylation post-translational modifications along single peptides with nanopores. Nature Biotechnology. 42(5). 710–714. 58 indexed citations
4.
Vanderlinden, Willem, et al.. (2023). Supercoiling-dependent DNA binding: quantitative modeling and applications to bulk and single-molecule experiments. Nucleic Acids Research. 52(1). 59–72. 6 indexed citations
5.
Brauns, Fridtjof, et al.. (2023). Directing Min protein patterns with advective bulk flow. Nature Communications. 14(1). 450–450. 6 indexed citations
6.
Bengtson, Michel, et al.. (2021). Diagnosing point-of-care diagnostics for neglected tropical diseases. PLoS neglected tropical diseases. 15(6). e0009405–e0009405. 35 indexed citations
7.
Yang, Wayne, Boya Radha, Yi You, et al.. (2021). Translocation of DNA through Ultrathin Nanoslits. Advanced Materials. 33(11). e2007682–e2007682. 30 indexed citations
8.
Buren, Lennard van, Nicola De Franceschi, Christophe Danelon, et al.. (2021). Optimized cDICE for Efficient Reconstitution of Biological Systems in Giant Unilamellar Vesicles. ACS Synthetic Biology. 10(7). 1690–1702. 45 indexed citations
9.
Japaridze, Aleksandre, et al.. (2020). Direct observation of independently moving replisomes in Escherichia coli. Nature Communications. 11(1). 3109–3109. 32 indexed citations
10.
Last, Mart G.F., Siddharth Deshpande, & Cees Dekker. (2020). pH-Controlled Coacervate–Membrane Interactions within Liposomes. ACS Nano. 14(4). 4487–4498. 119 indexed citations
11.
Burla, Federica, et al.. (2019). Shape and Size Control of Artificial Cells for Bottom-Up Biology. ACS Nano. 13(5). 5439–5450. 62 indexed citations
12.
Hol, Felix J.H., George M. Whitesides, & Cees Dekker. (2019). Bacteria‐in‐paper, a versatile platform to study bacterial ecology. Ecology Letters. 22(8). 1316–1323. 7 indexed citations
13.
Perez, Amilcar J., Yann Cesbron, Sidney L. Shaw, et al.. (2019). Movement dynamics of divisome proteins and PBP2x:FtsW in cells of Streptococcus pneumoniae. Proceedings of the National Academy of Sciences. 116(8). 3211–3220. 88 indexed citations
14.
Verschueren, Daniel, Wayne Yang, & Cees Dekker. (2018). Lithography-based fabrication of nanopore arrays in freestanding SiN and graphene membranes. Nanotechnology. 29(14). 145302–145302. 69 indexed citations
15.
Cadinu, Paolo, Sergii Pud, Wayne Yang, et al.. (2018). Double Barrel Nanopores as a New Tool for Controlling Single-Molecule Transport. Nano Letters. 18(4). 2738–2745. 67 indexed citations
16.
Terakawa, Tsuyoshi, S. Bisht, Jorine M. Eeftens, et al.. (2017). The condensin complex is a mechanochemical motor that translocates along DNA. Science. 358(6363). 672–676. 212 indexed citations
17.
Dekker, Cees. (2012). Single-molecule conductance measurements of biomolecule translocation across biomimetic nuclear pores. Bulletin of the American Physical Society. 2012. 1 indexed citations
18.
Loenhout, Marijn T.J. van, et al.. (2012). Dynamics of DNA Supercoils. Science. 338(6103). 94–97. 165 indexed citations
19.
Stein, Derek, et al.. (2004). Ion transport in nanofluidic channels. APS March Meeting Abstracts. 2004. 1 indexed citations
20.
Bachtold, Adrian, P. Hadley, Takeshi Nakanishi, & Cees Dekker. (2001). Logic Circuits with Carbon Nanotube Transistors. Science. 294(5545). 1317–1320. 2044 indexed citations breakdown →

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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