Csaba Daday

1.1k total citations
22 papers, 758 citations indexed

About

Csaba Daday is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Cell Biology. According to data from OpenAlex, Csaba Daday has authored 22 papers receiving a total of 758 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atomic and Molecular Physics, and Optics, 11 papers in Molecular Biology and 6 papers in Cell Biology. Recurrent topics in Csaba Daday's work include Force Microscopy Techniques and Applications (7 papers), Lipid Membrane Structure and Behavior (5 papers) and Cellular Mechanics and Interactions (5 papers). Csaba Daday is often cited by papers focused on Force Microscopy Techniques and Applications (7 papers), Lipid Membrane Structure and Behavior (5 papers) and Cellular Mechanics and Interactions (5 papers). Csaba Daday collaborates with scholars based in Germany, Netherlands and Spain. Csaba Daday's co-authors include Frauke Gräter, Claudia Filippi, Davide Mercadante, Carolin König, Johannes Neugebauer, Bert L. de Groot, Benedetta Mennucci, Ómar Valsson, Adalgisa Sinicropi and Boris Martinac and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The EMBO Journal.

In The Last Decade

Csaba Daday

21 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Csaba Daday Germany 15 314 311 166 92 87 22 758
Arjen N. Bader Netherlands 20 165 0.5× 687 2.2× 92 0.6× 139 1.5× 45 0.5× 41 1.4k
Anne Bernheim‐Groswasser Israel 18 327 1.0× 330 1.1× 747 4.5× 198 2.2× 61 0.7× 37 1.5k
Stefanie Y. Nishimura United States 12 106 0.3× 505 1.6× 98 0.6× 144 1.6× 60 0.7× 13 812
Tijana Jovanović‐Talisman United States 19 143 0.5× 1.1k 3.4× 171 1.0× 86 0.9× 73 0.8× 46 1.9k
Haisen Ta Germany 17 241 0.8× 971 3.1× 354 2.1× 267 2.9× 68 0.8× 21 2.3k
Juha‐Matti Alakoskela Finland 20 115 0.4× 544 1.7× 77 0.5× 45 0.5× 78 0.9× 31 921
Ulf Hensen Switzerland 14 309 1.0× 491 1.6× 161 1.0× 93 1.0× 54 0.6× 15 746
Kay E. Gottschalk Germany 16 127 0.4× 564 1.8× 183 1.1× 134 1.5× 189 2.2× 21 1.1k
Christian Ringemann Germany 11 413 1.3× 1.3k 4.1× 239 1.4× 159 1.7× 128 1.5× 15 1.9k
James M. Gruschus United States 24 146 0.5× 1.0k 3.3× 487 2.9× 111 1.2× 291 3.3× 58 1.6k

Countries citing papers authored by Csaba Daday

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Daday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Daday

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Daday. A scholar is included among the top collaborators of Csaba Daday 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 Csaba Daday. Csaba Daday 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.
Dasanna, Anil Kumar, Csaba Daday, Eduardo R. Cruz-Chú, et al.. (2023). The role of flow in the self-assembly of dragline spider silk proteins. Biophysical Journal. 122(21). 4241–4253. 4 indexed citations
2.
Daday, Csaba, et al.. (2022). Mechanical force can enhance c-Src kinase activity by impairing autoinhibition. Biophysical Journal. 121(5). 684–691. 4 indexed citations
3.
Zhang, Yixiao, Csaba Daday, Ruo‐Xu Gu, et al.. (2021). Visualization of the mechanosensitive ion channel MscS under membrane tension. Nature. 590(7846). 509–514. 87 indexed citations
4.
Franz, Florian, Csaba Daday, & Frauke Gräter. (2020). Advances in molecular simulations of protein mechanical properties and function. Current Opinion in Structural Biology. 61. 132–138. 25 indexed citations
5.
Daday, Csaba & Bert L. de Groot. (2020). Lipid–protein forces predict conformational changes in a mechanosensitive channel. European Biophysics Journal. 50(2). 181–186. 3 indexed citations
6.
Acebrón, Iván, Ricardo D. Righetto, Christina Schoenherr, et al.. (2020). Structural basis of Focal Adhesion Kinase activation on lipid membranes. The EMBO Journal. 39(19). e104743–e104743. 52 indexed citations
7.
Schubeis, Tobias, Tanguy Le Marchand, Csaba Daday, et al.. (2020). A β-barrel for oil transport through lipid membranes: Dynamic NMR structures of AlkL. Proceedings of the National Academy of Sciences. 117(35). 21014–21021. 46 indexed citations
8.
Daday, Csaba, Teresa Ferraro, Sophie Quintin, et al.. (2019). The plakin domain of C. elegans VAB-10/plectin acts as a hub in a mechanotransduction pathway to promote morphogenesis. Development. 146(24). 20 indexed citations
9.
Daday, Csaba, et al.. (2019). How ARVC-Related Mutations Destabilize Desmoplakin: An MD Study. Biophysical Journal. 116(5). 831–835. 3 indexed citations
10.
Gräter, Frauke, et al.. (2019). How Fast Is Too Fast in Force-Probe Molecular Dynamics Simulations?. The Journal of Physical Chemistry B. 123(17). 3658–3664. 16 indexed citations
11.
Obarska-Kosińska, Agnieszka, et al.. (2018). Mechanosensation through Radicals in Tensed Collagen. Biophysical Journal. 114(3). 113a–113a. 1 indexed citations
12.
Mercadante, Davide, Frauke Gräter, & Csaba Daday. (2018). CONAN: A Tool to Decode Dynamical Information from Molecular Interaction Maps. Biophysical Journal. 114(6). 1267–1273. 76 indexed citations
13.
Franz, Florian, et al.. (2018). Stability of Biological Membranes upon Mechanical Indentation. The Journal of Physical Chemistry B. 122(28). 7073–7079. 3 indexed citations
14.
Daday, Csaba, Katra Kolšek, & Frauke Gräter. (2017). The mechano-sensing role of the unique SH3 insertion in plakin domains revealed by Molecular Dynamics simulations. Scientific Reports. 7(1). 11669–11669. 27 indexed citations
15.
Daday, Csaba, et al.. (2016). Introducing QMC/MMpol: Quantum Monte Carlo in Polarizable Force Fields for Excited States. Journal of Chemical Theory and Computation. 12(4). 1674–1683. 27 indexed citations
16.
Daday, Csaba, et al.. (2014). Wavefunction in Density Functional Theory Embedding for Excited States: Which Wavefunctions, which Densities?. ChemPhysChem. 15(15). 3205–3217. 57 indexed citations
17.
Daday, Csaba, Carolin König, Ómar Valsson, Johannes Neugebauer, & Claudia Filippi. (2013). State-Specific Embedding Potentials for Excitation-Energy Calculations. Journal of Chemical Theory and Computation. 9(5). 2355–2367. 68 indexed citations
18.
Daday, Csaba, Simon D. Smart, George H. Booth, Ali Alavi, & Claudia Filippi. (2012). Full Configuration Interaction Excitations of Ethene and Butadiene: Resolution of an Ancient Question. Journal of Chemical Theory and Computation. 8(11). 4441–4451. 53 indexed citations
19.
Daday, Csaba. (2011). Coulomb and Spin-Orbit Interaction Effects in a Mesoscopic Ring. Skemman.
20.
Daday, Csaba, Andrei Manolescu, D. C. Marinescu, & Viðar Guðmundsson. (2011). Electronic charge and spin density distribution in a quantum ring with spin-orbit and Coulomb interactions. Physical Review B. 84(11). 24 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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