Ondřej Vávra

664 total citations
17 papers, 467 citations indexed

About

Ondřej Vávra is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Ondřej Vávra has authored 17 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Computational Theory and Mathematics and 4 papers in Materials Chemistry. Recurrent topics in Ondřej Vávra's work include Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (4 papers). Ondřej Vávra is often cited by papers focused on Protein Structure and Dynamics (11 papers), Computational Drug Discovery Methods (8 papers) and Enzyme Structure and Function (4 papers). Ondřej Vávra collaborates with scholars based in Czechia, Norway and United Kingdom. Ondřej Vávra's co-authors include Jiřı́ Damborský, David Bednář, Jan Brezovský, Jan Štourač, Jiří Filipovič, Gaspar Pinto, Piia Kokkonen, Sérgio M. Marques, Luděk Matyska and Jaroslav Bendl and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Applied and Environmental Microbiology.

In The Last Decade

Ondřej Vávra

16 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ondřej Vávra Czechia	9	354	81	74	47	46	17	467
Dmitry Suplatov Russia	16	464 1.3×	60 0.7×	135 1.8×	34 0.7×	63 1.4×	37	563
Gaurao V. Dhoke Germany	17	409 1.2×	96 1.2×	42 0.6×	89 1.9×	89 1.9×	35	615
Bruce J. Wittmann United States	8	641 1.8×	63 0.8×	66 0.9×	94 2.0×	77 1.7×	11	761
Tianhao Yu United States	6	706 2.0×	82 1.0×	92 1.2×	116 2.5×	78 1.7×	9	908
Stefan Bartoschek Germany	12	408 1.2×	47 0.6×	78 1.1×	18 0.4×	34 0.7×	19	585
Quoc‐Thai Nguyen Vietnam	14	248 0.7×	44 0.5×	35 0.5×	26 0.6×	41 0.9×	29	413
Lukáš Daniel Czechia	10	456 1.3×	49 0.6×	125 1.7×	51 1.1×	52 1.1×	14	669
Zachary Wu United States	5	701 2.0×	91 1.1×	66 0.9×	91 1.9×	110 2.4×	6	852
Martin Maňák Czechia	5	301 0.9×	34 0.4×	77 1.0×	31 0.7×	36 0.8×	9	424
Miguel A. Maria‐Solano Spain	11	436 1.2×	46 0.6×	106 1.4×	64 1.4×	56 1.2×	14	546

Countries citing papers authored by Ondřej Vávra

Since Specialization

Citations

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

Fields of papers citing papers by Ondřej Vávra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ondřej Vávra

This figure shows the co-authorship network connecting the top 25 collaborators of Ondřej Vávra. A scholar is included among the top collaborators of Ondřej Vávra 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 Ondřej Vávra. Ondřej Vávra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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17 of 17 papers shown

Marques, Sérgio M., et al.. (2025). Caver Web 2.0: analysis of tunnels and ligand transport in dynamic ensembles of proteins. Nucleic Acids Research. 53(W1). W132–W142. 2 indexed citations

Vávra, Ondřej, Jonathan D. Tyzack, Jan Štourač, et al.. (2024). Large-scale annotation of biochemically relevant pockets and tunnels in cognate enzyme–ligand complexes. Journal of Cheminformatics. 16(1). 114–114. 2 indexed citations

Vávra, Ondřej, Tomáš Raček, Václav Bazgier, et al.. (2023). ChannelsDB 2.0: a comprehensive database of protein tunnels and pores in AlphaFold era. Nucleic Acids Research. 52(D1). D413–D418. 8 indexed citations

Vávra, Ondřej, Jiřı́ Damborský, & David Bednář. (2022). Fast approximative methods for study of ligand transport and rational design of improved enzymes for biotechnologies. Biotechnology Advances. 60. 108009–108009. 17 indexed citations

Pinto, Gaspar, Ondřej Vávra, Sérgio M. Marques, et al.. (2021). Screening of world approved drugs against highly dynamical spike glycoprotein of SARS-CoV-2 using CaverDock and machine learning. Computational and Structural Biotechnology Journal. 19. 3187–3197. 11 indexed citations

Vávra, Ondřej, et al.. (2021). Simulation of Ligand Transport in Receptors Using CaverDock. Methods in molecular biology. 2266. 105–124. 3 indexed citations

Furmanová, Katarína, Ondřej Vávra, Barbora Kozlíková, et al.. (2020). DockVis: Visual Analysis of Molecular Docking Trajectories. Computer Graphics Forum. 39(6). 452–464. 3 indexed citations

Vávra, Ondřej, Jiří Filipovič, David Bednář, et al.. (2019). CaverDock: a molecular docking-based tool to analyse ligand transport through protein tunnels and channels. Bioinformatics. 35(23). 4986–4993. 63 indexed citations

Pinto, Gaspar, Ondřej Vávra, Jiří Filipovič, et al.. (2019). Fast Screening of Inhibitor Binding/Unbinding Using Novel Software Tool CaverDock. Frontiers in Chemistry. 7. 19 indexed citations

10.

Štourač, Jan, Ondřej Vávra, Piia Kokkonen, et al.. (2019). Caver Web 1.0: identification of tunnels and channels in proteins and analysis of ligand transport. Nucleic Acids Research. 47(W1). W414–W422. 199 indexed citations

11.

Filipovič, Jiří, Ondřej Vávra, David Bednář, et al.. (2019). CaverDock: A Novel Method for the Fast Analysis of Ligand Transport. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 17(5). 1625–1638. 39 indexed citations

12.

Jurčík, Adam, Katarína Furmanová, Jan Byška, et al.. (2019). Visual Analysis of Ligand Trajectories in Molecular Dynamics. 212–221. 5 indexed citations

13.

Štourač, Jan, Ondřej Vávra, Piia Kokkonen, et al.. (2019). Caver web: identification of tunnels and channels in proteins and analysis of ligand transport. Journal of Biotechnology. 305. S72–S72. 4 indexed citations

14.

Filipovič, Jiří, Ondřej Vávra, David Bednář, et al.. (2017). A novel method for analysis of ligand binding and unbinding based on molecular docking. Faculty of 1000 Research Ltd. 6.

15.

Buryška, Tomáš, Petra Bábková, Ondřej Vávra, Jiřı́ Damborský, & Zbyněk Prokop. (2017). A Haloalkane Dehalogenase from a Marine Microbial Consortium Possessing Exceptionally Broad Substrate Specificity. Applied and Environmental Microbiology. 84(2). 19 indexed citations

16.

Filipovič, Jiří, Ondřej Vávra, David Bednář, et al.. (2017). CAVERDOCK: A new tool for analysis of ligand binding and unbinding based on molecular docking. 1 indexed citations

17.

Bendl, Jaroslav, Jan Štourač, Eva Šebestová, et al.. (2016). HotSpot Wizard 2.0: automated design of site-specific mutations and smart libraries in protein engineering. Nucleic Acids Research. 44(W1). W479–W487. 72 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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