Tomáš Lukeš

1.2k total citations
23 papers, 744 citations indexed

About

Tomáš Lukeš is a scholar working on Biophysics, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Tomáš Lukeš has authored 23 papers receiving a total of 744 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Biophysics, 8 papers in Biomedical Engineering and 7 papers in Molecular Biology. Recurrent topics in Tomáš Lukeš's work include Advanced Fluorescence Microscopy Techniques (18 papers), Optical Coherence Tomography Applications (6 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). Tomáš Lukeš is often cited by papers focused on Advanced Fluorescence Microscopy Techniques (18 papers), Optical Coherence Tomography Applications (6 papers) and Advanced Electron Microscopy Techniques and Applications (5 papers). Tomáš Lukeš collaborates with scholars based in Switzerland, Czechia and Belgium. Tomáš Lukeš's co-authors include Theo Lasser, Guy M. Hagen, Karel Fliegel, Kristin S. Grußmayer, Aleksandra Rađenović, Azat Sharipov, Pavel Křížek, Marcel Leutenegger, Martin Ovesný and Peter Dedecker and has published in prestigious journals such as Nature Communications, ACS Nano and Bioinformatics.

In The Last Decade

Tomáš Lukeš

23 papers receiving 716 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomáš Lukeš Switzerland 13 585 323 186 178 158 23 744
Kristin S. Grußmayer Switzerland 13 457 0.8× 266 0.8× 134 0.7× 212 1.2× 144 0.9× 24 740
Marco Castello Italy 17 705 1.2× 407 1.3× 217 1.2× 137 0.8× 146 0.9× 37 928
Heng Mao China 9 409 0.7× 269 0.8× 87 0.5× 170 1.0× 165 1.0× 20 692
Robert P. J. Nieuwenhuizen Netherlands 7 540 0.9× 222 0.7× 295 1.6× 198 1.1× 97 0.6× 20 743
Liuju Li China 9 438 0.7× 272 0.8× 83 0.4× 260 1.5× 159 1.0× 18 773
Yiming Li China 15 674 1.2× 287 0.9× 353 1.9× 310 1.7× 121 0.8× 42 1000
Sami Koho Italy 14 426 0.7× 348 1.1× 126 0.7× 119 0.7× 121 0.8× 20 803
Ginni Grover United States 9 401 0.7× 270 0.8× 162 0.9× 79 0.4× 156 1.0× 17 514
Giorgio Tortarolo Italy 14 515 0.9× 274 0.8× 164 0.9× 96 0.5× 99 0.6× 27 662
Amit Lal China 5 455 0.8× 283 0.9× 81 0.4× 138 0.8× 140 0.9× 8 640

Countries citing papers authored by Tomáš Lukeš

Since Specialization
Citations

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

Fields of papers citing papers by Tomáš Lukeš

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomáš Lukeš

This figure shows the co-authorship network connecting the top 25 collaborators of Tomáš Lukeš. A scholar is included among the top collaborators of Tomáš Lukeš 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 Tomáš Lukeš. Tomáš Lukeš 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.
Hannebelle, Mélanie T. M., Tomáš Lukeš, Chiara Toniolo, et al.. (2024). Open-source microscope add-on for structured illumination microscopy. Nature Communications. 15(1). 1550–1550. 12 indexed citations
2.
Hugelier, Siewert, Wim Vandenberg, Tomáš Lukeš, et al.. (2021). Smoothness correction for better SOFI imaging. Scientific Reports. 11(1). 7569–7569. 7 indexed citations
3.
Grußmayer, Kristin S., Tomáš Lukeš, Theo Lasser, & Aleksandra Rađenović. (2020). Self-Blinking Dyes Unlock High-Order and Multiplane Super-Resolution Optical Fluctuation Imaging. ACS Nano. 14(7). 9156–9165. 42 indexed citations
4.
Bouwens, Arno, Jochem Deen, Raffaele Vitale, et al.. (2019). Identifying microbial species by single-molecule DNA optical mapping and resampling statistics. NAR Genomics and Bioinformatics. 2(1). lqz007–lqz007. 18 indexed citations
5.
Sage, Daniel, Thanh-an Pham, Hazen P. Babcock, et al.. (2019). Publisher Correction: Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software. Nature Methods. 16(6). 561–561. 2 indexed citations
6.
Sage, Daniel, Thanh-an Pham, Hazen P. Babcock, et al.. (2019). Super-resolution fight club: assessment of 2D and 3D single-molecule localization microscopy software. Nature Methods. 16(5). 387–395. 210 indexed citations
7.
Dostálek, Miroslav, et al.. (2019). Influence of artificially generated interocular blur difference on fusion stability under vergence stress. Journal of Eye Movement Research. 12(4). 2 indexed citations
8.
9.
Lukeš, Tomáš, et al.. (2018). Quantitative super-resolution single molecule microscopy dataset of YFP-tagged growth factor receptors. GigaScience. 7(3). 1–10. 5 indexed citations
10.
Descloux, A., Kristin S. Grußmayer, Emrah Bostan, et al.. (2018). Combined multi-plane phase retrieval and super-resolution optical fluctuation imaging for 4D cell microscopy. Nature Photonics. 12(3). 165–172. 103 indexed citations
11.
Lukeš, Tomáš, Florian Levet, Aleš Benda, et al.. (2017). Quantifying protein densities on cell membranes using super-resolution optical fluctuation imaging. Nature Communications. 8(1). 1731–1731. 45 indexed citations
12.
Vandenberg, Wim, Sam Duwé, Arno Bouwens, et al.. (2017). Correcting for photodestruction in super-resolution optical fluctuation imaging. Scientific Reports. 7(1). 10470–10470. 25 indexed citations
13.
Deschout, Hendrik, et al.. (2017). Combining PALM and SOFI for quantitative imaging of focal adhesions in living cells. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10071. 100710E–100710E. 4 indexed citations
14.
Lukeš, Tomáš, Azat Sharipov, Stefan Geissbuehler, et al.. (2016). SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging. PLoS ONE. 11(9). e0161602–e0161602. 38 indexed citations
15.
Deschout, Hendrik, Tomáš Lukeš, Azat Sharipov, et al.. (2016). Complementarity of PALM and SOFI for super-resolution live-cell imaging of focal adhesions. Nature Communications. 7(1). 13693–13693. 69 indexed citations
16.
Křížek, Pavel, Tomáš Lukeš, Martin Ovesný, Karel Fliegel, & Guy M. Hagen. (2015). SIMToolbox: a MATLAB toolbox for structured illumination fluorescence microscopy. Bioinformatics. 32(2). 318–320. 57 indexed citations
17.
Lukeš, Tomáš, et al.. (2014). Binarization of noisy microscopy images through signal reconstruction using iterative detection network. 9. 3949–3952. 1 indexed citations
18.
Lukeš, Tomáš, Guy M. Hagen, Pavel Křížek, et al.. (2014). Comparison of image reconstruction methods for structured illumination microscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9129. 91293J–91293J. 17 indexed citations
19.
Lukeš, Tomáš, Karel Fliegel, & Miloš Klíma. (2013). Performance evaluation of image quality metrics with respect to their use for super-resolution enhancement. 42–43. 6 indexed citations
20.
Lukeš, Tomáš, Karel Fliegel, & Miloš Klíma. (2013). Objective image quality assessment of multiframe super-resolution methods. 267–272. 2 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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