Robert Vácha

6.0k total citations
93 papers, 4.8k citations indexed

About

Robert Vácha is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Biomaterials. According to data from OpenAlex, Robert Vácha has authored 93 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Molecular Biology, 32 papers in Atomic and Molecular Physics, and Optics and 18 papers in Biomaterials. Recurrent topics in Robert Vácha's work include Lipid Membrane Structure and Behavior (39 papers), Spectroscopy and Quantum Chemical Studies (30 papers) and Antimicrobial Peptides and Activities (15 papers). Robert Vácha is often cited by papers focused on Lipid Membrane Structure and Behavior (39 papers), Spectroscopy and Quantum Chemical Studies (30 papers) and Antimicrobial Peptides and Activities (15 papers). Robert Vácha collaborates with scholars based in Czechia, United States and Germany. Robert Vácha's co-authors include Pavel Jungwirth, Daan Frenkel, Francisco J. Martínez‐Veracoechea, Barbara Jagoda‐Cwiklik, Ivo Kabelka, Max L. Berkowitz, Mikael Lund, Anne Milet, V. Buch and J. Paul Devlin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Robert Vácha

89 papers receiving 4.8k citations

Author Peers

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

Author Last Decade Papers Cites
Robert Vácha 1.9k 1.9k 749 666 625 93 4.8k
Kristian Kjær 2.5k 1.3× 1.7k 0.9× 444 0.6× 897 1.3× 1.3k 2.0× 102 6.2k
Philip E. Mason 1.5k 0.8× 1.6k 0.9× 613 0.8× 596 0.9× 1.2k 1.9× 102 5.0k
Henry S. Ashbaugh 830 0.4× 1.4k 0.7× 469 0.6× 853 1.3× 957 1.5× 101 3.4k
Søren Vrønning Hoffmann 1.5k 0.8× 2.1k 1.1× 540 0.7× 323 0.5× 1.1k 1.8× 322 5.9k
Jarosław Majewski 2.2k 1.1× 1.1k 0.6× 295 0.4× 885 1.3× 887 1.4× 158 4.9k
Preston B. Moore 1.6k 0.9× 1.6k 0.9× 409 0.5× 663 1.0× 883 1.4× 66 3.5k
Jochen S. Hub 3.4k 1.7× 1.1k 0.6× 289 0.4× 866 1.3× 1.1k 1.7× 96 5.5k
Gerald Brezesinski 5.2k 2.7× 2.3k 1.2× 653 0.9× 835 1.3× 959 1.5× 363 8.2k
Adrian R. Rennie 1.4k 0.7× 1.5k 0.8× 851 1.1× 1.1k 1.6× 1.7k 2.7× 184 6.1k
Wataru Shinoda 2.6k 1.4× 1.4k 0.8× 373 0.5× 1.4k 2.1× 2.1k 3.4× 162 7.4k

Countries citing papers authored by Robert Vácha

Since Specialization
Citations

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

Fields of papers citing papers by Robert Vácha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Vácha

This figure shows the co-authorship network connecting the top 25 collaborators of Robert Vácha. A scholar is included among the top collaborators of Robert Vácha 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 Robert Vácha. Robert Vácha 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.
Vácha, Robert, et al.. (2025). Split Membrane: A New Model to Accelerate All-Atom MD Simulation of Phospholipid Bilayers. Journal of Chemical Information and Modeling. 65(2). 845–856. 2 indexed citations
2.
Kabelka, Ivo, et al.. (2025). Martini 3 Limitations in Phospholipid Flip-Flop. Journal of Chemical Theory and Computation. 21(19). 9227–9233.
3.
Vácha, Robert, et al.. (2025). Quantifying (de)Mixing of Disordered Proteins in Molecular Dynamics Simulations. bioRxiv (Cold Spring Harbor Laboratory).
4.
Yadav, Anoop, et al.. (2025). A biotin-HaloTag ligand enables efficient affinity capture of protein variants from live cells. The Journal of Cell Biology. 224(8).
5.
Biriukov, Denys, et al.. (2024). Energetics of toroidal pore formation in lipid membranes using molecular dynamics simulations. Biophysical Journal. 123(3). 545a–545a. 1 indexed citations
6.
Vácha, Robert, et al.. (2024). Nanoparticle induced fusion of lipid membranes. Nanoscale. 16(21). 10221–10229. 7 indexed citations
7.
Torres, Marcelo D. T., Floriana Cappiello, Katy Jeannot, et al.. (2024). Computational Design of Pore-Forming Peptides with Potent Antimicrobial and Anticancer Activities. Journal of Medicinal Chemistry. 67(16). 14040–14061. 9 indexed citations
8.
Vácha, Robert, et al.. (2024). Valency of Ligand–Receptor Binding from Pair Potentials. Journal of Chemical Theory and Computation. 20(7). 2901–2907. 2 indexed citations
9.
Šebesta, Marek, et al.. (2024). Sequence and structural determinants of RNAPII CTD phase-separation and phosphorylation by CDK7. Nature Communications. 15(1). 9163–9163. 5 indexed citations
10.
Vácha, Robert, et al.. (2023). Amphipathic Helices Can Sense Both Positive and Negative Curvatures of Lipid Membranes. The Journal of Physical Chemistry Letters. 15(1). 175–179. 10 indexed citations
11.
Kabelka, Ivo & Robert Vácha. (2021). Advances in Molecular Understanding of α-Helical Membrane-Active Peptides. Accounts of Chemical Research. 54(9). 2196–2204. 91 indexed citations
12.
Kabelka, Ivo, et al.. (2021). Selecting Collective Variables and Free-Energy Methods for Peptide Translocation across Membranes. Journal of Chemical Information and Modeling. 61(2). 819–830. 31 indexed citations
13.
Baranova, Natalia, et al.. (2021). Cardiolipin-Containing Lipid Membranes Attract the Bacterial Cell Division Protein DivIVA. International Journal of Molecular Sciences. 22(15). 8350–8350. 7 indexed citations
14.
Plevka, Pavel, et al.. (2021). Cargo Release from Nonenveloped Viruses and Virus-like Nanoparticles: Capsid Rupture or Pore Formation. ACS Nano. 15(12). 19233–19243. 15 indexed citations
15.
Kabelka, Ivo, et al.. (2020). Effect of helical kink in antimicrobial peptides on membrane pore formation. eLife. 9. 59 indexed citations
16.
Kabelka, Ivo, et al.. (2020). Effect of Helical Kink on Peptide Translocation across Phospholipid Membranes. The Journal of Physical Chemistry B. 124(28). 5940–5947. 15 indexed citations
17.
Vácha, Robert, et al.. (2017). Self-assembled clusters of patchy rod-like molecules. Soft Matter. 13(41). 7492–7497. 7 indexed citations
18.
Martínez‐Veracoechea, Francisco J., et al.. (2017). Design of Multivalent Inhibitors for Preventing Cellular Uptake. Scientific Reports. 7(1). 11689–11689. 8 indexed citations
19.
Amaro, Mariana, et al.. (2016). GM1 Ganglioside Inhibits β‐Amyloid Oligomerization Induced by Sphingomyelin. Angewandte Chemie International Edition. 55(32). 9411–9415. 83 indexed citations
20.
Kabelka, Ivo & Robert Vácha. (2015). Optimal conditions for opening of membrane pore by amphiphilic peptides. The Journal of Chemical Physics. 143(24). 243115–243115. 22 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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