Lukáš Žı́dek

1.9k total citations
59 papers, 1.5k citations indexed

About

Lukáš Žı́dek is a scholar working on Molecular Biology, Spectroscopy and Materials Chemistry. According to data from OpenAlex, Lukáš Žı́dek has authored 59 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Molecular Biology, 20 papers in Spectroscopy and 10 papers in Materials Chemistry. Recurrent topics in Lukáš Žı́dek's work include Protein Structure and Dynamics (21 papers), RNA and protein synthesis mechanisms (15 papers) and Advanced NMR Techniques and Applications (12 papers). Lukáš Žı́dek is often cited by papers focused on Protein Structure and Dynamics (21 papers), RNA and protein synthesis mechanisms (15 papers) and Advanced NMR Techniques and Applications (12 papers). Lukáš Žı́dek collaborates with scholars based in Czechia, France and United States. Lukáš Žı́dek's co-authors include Vladimı́r Sklenář, Martin J. Stone, Jiří Nováček, Miloš V. Novotný, Libor Krásný, Richard Štefl, Hana Šanderová, Josef Chmelı́k, Jeffrey L. Vaughn and Wiktor Koźmiński and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Lukáš Žı́dek

59 papers receiving 1.5k citations

Peers

Lukáš Žı́dek
Woonghee Lee United States
William E. Meador United States
Raffaello Verardi United States
Thorsten Dieckmann United States
Lukáš Žı́dek
Citations per year, relative to Lukáš Žı́dek Lukáš Žı́dek (= 1×) peers Henning Tidow

Countries citing papers authored by Lukáš Žı́dek

Since Specialization
Citations

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

Fields of papers citing papers by Lukáš Žı́dek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lukáš Žı́dek

This figure shows the co-authorship network connecting the top 25 collaborators of Lukáš Žı́dek. A scholar is included among the top collaborators of Lukáš Žı́dek 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 Lukáš Žı́dek. Lukáš Žı́dek 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.
Fernández, Pablo, et al.. (2025). Characterization of multiple binding sites on microtubule associated protein 2c recognized by dimeric and monomeric 14‐3‐3ζ. FEBS Journal. 292(8). 1991–2016. 2 indexed citations
2.
Gruber, Tobias, et al.. (2024). Structural basis of binding the unique N-terminal domain of microtubule-associated protein 2c to proteins regulating kinases of signaling pathways. Journal of Biological Chemistry. 300(8). 107551–107551. 2 indexed citations
3.
Lewitzky, Marc, et al.. (2022). Specific phosphorylation of microtubule-associated protein 2c by extracellular signal–regulated kinase reduces interactions at its Pro-rich regions. Journal of Biological Chemistry. 298(10). 102384–102384. 6 indexed citations
4.
Marquardsen, Thorsten, et al.. (2020). Boosting the resolution of low-field $$^{15}\hbox {N}$$ relaxation experiments on intrinsically disordered proteins with triple-resonance NMR. Journal of Biomolecular NMR. 74(2-3). 139–145. 5 indexed citations
5.
Mládek, Arnošt, et al.. (2020). Choice of Force Field for Proteins Containing Structured and Intrinsically Disordered Regions. Biophysical Journal. 118(7). 1621–1633. 27 indexed citations
6.
Srb, Pavel, Hana Šanderová, Libor Krásný, et al.. (2019). Quantitative Conformational Analysis of Functionally Important Electrostatic Interactions in the Intrinsically Disordered Region of Delta Subunit of Bacterial RNA Polymerase. Journal of the American Chemical Society. 141(42). 16817–16828. 10 indexed citations
7.
Špačková, Nad’a, et al.. (2018). Protein environment affects the water–tryptophan binding mode. MD, QM/MM, and NMR studies of engrailed homeodomain mutants. Physical Chemistry Chemical Physics. 20(18). 12664–12677. 3 indexed citations
8.
Benešík, Martin, Jiří Nováček, Ľubomír Janda, et al.. (2017). Role of SH3b binding domain in a natural deletion mutant of Kayvirus endolysin LysF1 with a broad range of lytic activity. Virus Genes. 54(1). 130–139. 32 indexed citations
9.
Srb, Pavel, Jiří Nováček, Pavel Kadeřávek, et al.. (2017). Triple resonance 15N NMR relaxation experiments for studies of intrinsically disordered proteins. Journal of Biomolecular NMR. 69(3). 133–146. 8 indexed citations
10.
Šanderová, Hana, et al.. (2017). Solution structure of domain 1.1 of the σA factor from Bacillus subtilis is preformed for binding to the RNA polymerase core. Journal of Biological Chemistry. 292(28). 11610–11617. 9 indexed citations
11.
Žı́dek, Lukáš, et al.. (2015). Structural Aspects of Multistep Phosphorelay-Mediated Signaling in Plants. Molecular Plant. 9(1). 71–85. 24 indexed citations
12.
Vymětal, Jiří, Jiří Černý, Radka Chaloupková, et al.. (2014). Retro operation on the Trp-cage miniprotein sequence produces an unstructured molecule capable of folding similar to the original only upon 2,2,2-trifluoroethanol addition. Protein Engineering Design and Selection. 27(12). 463–472. 4 indexed citations
13.
Obr, Martin, Romana Hadravová, Michal Doležal, et al.. (2014). Stabilization of the β-hairpin in Mason-Pfizer monkey virus capsid protein- a critical step for infectivity. Retrovirology. 11(1). 94–94. 7 indexed citations
14.
Kadeřávek, Pavel, Hana Šanderová, Jiří Nováček, et al.. (2013). Structural Study of the Partially Disordered Full‐Length δ Subunit of RNA Polymerase from Bacillus subtilis. ChemBioChem. 14(14). 1772–1779. 16 indexed citations
15.
Kožíšek, Milan, et al.. (2009). Backbone 1H, 13C, and 15N NMR assignment for the inactive form of the retroviral protease of the murine intracisternal A-type particle, inMIA-14 PR. Biomolecular NMR Assignments. 3(2). 261–264. 5 indexed citations
16.
Novák, Petr, et al.. (2009). S3EPY: a Sparky extension for determination of small scalar couplings from spin-state-selective excitation NMR experiments. Journal of Biomolecular NMR. 46(2). 191–197. 3 indexed citations
17.
Macek, Pavel, Lukáš Žı́dek, Michaela Rumlová, Iva Pichová, & Vladimı́r Sklenář. (2008). 1H, 13C, and 15N resonance assignment of the N-terminal domain of Mason-Pfizer monkey virus capsid protein, CA 1-140. Biomolecular NMR Assignments. 2(1). 43–45. 2 indexed citations
18.
Vaněk, Ondřej, Daniel Kavan, Petr Pompach, et al.. (2008). Soluble recombinant CD69 receptors optimized to have an exceptional physical and chemical stability display prolonged circulation and remain intact in the blood of mice. FEBS Journal. 275(22). 5589–5606. 19 indexed citations
19.
Šmajs, David, Magda Janalí­ková, Pavel Macek, & Lukáš Žı́dek. (2008). Inactivation of colicin Y by intramembrane helix–helix interaction with its immunity protein. FEBS Journal. 275(21). 5325–5331. 4 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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