Jan Byška

742 total citations
36 papers, 524 citations indexed

About

Jan Byška is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Biophysics. According to data from OpenAlex, Jan Byška has authored 36 papers receiving a total of 524 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 16 papers in Computer Vision and Pattern Recognition and 6 papers in Biophysics. Recurrent topics in Jan Byška's work include Protein Structure and Dynamics (15 papers), Data Visualization and Analytics (14 papers) and Cell Image Analysis Techniques (6 papers). Jan Byška is often cited by papers focused on Protein Structure and Dynamics (15 papers), Data Visualization and Analytics (14 papers) and Cell Image Analysis Techniques (6 papers). Jan Byška collaborates with scholars based in Czechia, Norway and Austria. Jan Byška's co-authors include Barbora Kozlíková, Adam Jurčík, Katarína Furmanová, Jiřı́ Damborský, Sérgio M. Marques, David Bednář, Jan Štourač, Jan Brezovský, Lukáš Daniel and Martin Maňák and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and BMC Bioinformatics.

In The Last Decade

Jan Byška

35 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Byška Czechia 11 347 127 65 41 36 36 524
Katarína Furmanová Czechia 6 244 0.7× 76 0.6× 48 0.7× 32 0.8× 18 0.5× 23 389
Adam Jurčík Czechia 6 253 0.7× 64 0.5× 50 0.8× 29 0.7× 18 0.5× 13 359
Martin Maňák Czechia 5 301 0.9× 21 0.2× 77 1.2× 34 0.8× 9 0.3× 9 424
Jiří Filipovič Czechia 12 285 0.8× 24 0.2× 68 1.0× 86 2.1× 9 0.3× 40 539
Hui Du China 12 494 1.4× 63 0.5× 51 0.8× 22 0.5× 15 0.4× 63 867
David S. Goodsell United States 9 424 1.2× 36 0.3× 62 1.0× 18 0.4× 23 0.6× 27 532
Michele D’Amico Italy 13 141 0.4× 39 0.3× 131 2.0× 98 2.4× 34 0.9× 25 548
Minjun Li China 14 394 1.1× 44 0.3× 66 1.0× 207 5.0× 7 0.2× 60 801
Huixin Luo China 10 142 0.4× 183 1.4× 32 0.5× 31 0.8× 13 0.4× 19 445
Charly Empereur‐mot Switzerland 10 358 1.0× 59 0.5× 260 4.0× 94 2.3× 40 1.1× 14 925

Countries citing papers authored by Jan Byška

Since Specialization
Citations

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

Fields of papers citing papers by Jan Byška

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Byška

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Byška. A scholar is included among the top collaborators of Jan Byška 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 Jan Byška. Jan Byška 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.
Byška, Jan, et al.. (2026). Foreword to special section on 15th Eurographics workshop on visual computing for biology and medicine. Computers & Graphics. 135. 104546–104546.
2.
Kozlíková, Barbora, et al.. (2025). Helveg: Diagrams for Software Documentation. IEEE Transactions on Visualization and Computer Graphics. 31(10). 9079–9091. 1 indexed citations
3.
Planas-Iglesias, Joan, et al.. (2024). Visual Support for the Loop Grafting Workflow on Proteins. IEEE Transactions on Visualization and Computer Graphics. 31(1). 580–590. 1 indexed citations
4.
Kozlíková, Barbora, et al.. (2024). Interactive Diagrams for Software Documentation. 12–23. 1 indexed citations
5.
Furmanová, Katarína, Barbora Kozlíková, Tomǎš Brázdil, et al.. (2023). xOpat: eXplainable Open Pathology Analysis Tool. Computer Graphics Forum. 42(3). 63–73. 3 indexed citations
6.
Vázquez, Pere‐Pau, Tobias Isenberg, Michael Krone, et al.. (2023). State of the Art of Molecular Visualization in Immersive Virtual Environments. Computer Graphics Forum. 42(6). 21 indexed citations
7.
Byška, Jan, Sérgio M. Marques, David Bednář, et al.. (2023). InVADo: Interactive Visual Analysis of Molecular Docking Data. IEEE Transactions on Visualization and Computer Graphics. 30(4). 1984–1997. 4 indexed citations
8.
Planas-Iglesias, Joan, Jan Štourač, Gaspar Pinto, et al.. (2022). LoopGrafter: a web tool for transplanting dynamical loops for protein engineering. Nucleic Acids Research. 50(W1). W465–W473. 18 indexed citations
9.
Waldner, Manuela, Katarína Furmanová, Sérgio M. Marques, et al.. (2022). sMolBoxes: Dataflow Model for Molecular Dynamics Exploration. IEEE Transactions on Visualization and Computer Graphics. 29(1). 1–10. 5 indexed citations
10.
Byška, Jan, et al.. (2021). VRdeo: Creating engaging educational material for asynchronous student-teacher exchange using virtual reality. Computers & Graphics. 98. 280–292. 19 indexed citations
11.
Byška, Jan, et al.. (2020). Dynamics-function relationship in the catalytic domains of N-terminal acetyltransferases. Computational and Structural Biotechnology Journal. 18. 532–547. 9 indexed citations
12.
Byška, Jan, et al.. (2019). Analysis of Long Molecular Dynamics Simulations Using Interactive Focus+Context Visualization. Computer Graphics Forum. 38(3). 441–453. 11 indexed citations
13.
Byška, Jan, Adam Jurčík, Katarína Furmanová, Barbora Kozlíková, & Jan Paleček. (2019). Visual Analysis of Protein–Protein Interaction Docking Models Using COZOID Tool. Methods in molecular biology. 2074. 81–94. 4 indexed citations
14.
Furmanová, Katarína, Adam Jurčík, Barbora Kozlíková, Helwig Hauser, & Jan Byška. (2019). Multiscale Visual Drilldown for the Analysis of Large Ensembles of Multi-Body Protein Complexes. IEEE Transactions on Visualization and Computer Graphics. 26(1). 1–1. 5 indexed citations
15.
Berland, Siren, Trine L. Toft‐Bertelsen, Ingvild Aukrust, et al.. (2018). A de novo Ser111Thr variant in aquaporin-4 in a patient with intellectual disability, transient signs of brain ischemia, transient cardiac hypertrophy, and progressive gait disturbance. Molecular Case Studies. 4(1). a002303–a002303. 3 indexed citations
16.
Furmanová, Katarína, Jan Byška, Eduard Gröller, et al.. (2018). COZOID: contact zone identifier for visual analysis of protein-protein interactions. BMC Bioinformatics. 19(1). 125–125. 13 indexed citations
17.
Byška, Jan, et al.. (2017). Comparative visualization of protein secondary structures. BMC Bioinformatics. 18(S2). 23–23. 11 indexed citations
18.
Furmanová, Katarína, Jan Byška, Adam Jurčík, et al.. (2017). Interactive exploration of ligand transportation through protein tunnels. BMC Bioinformatics. 18(S2). 22–22. 15 indexed citations
19.
Byška, Jan, et al.. (2016). Unfolding and Interactive Exploration of Protein Tunnels and their Dynamics. Eurographics. 1–10. 3 indexed citations
20.
Byška, Jan, Adam Jurčík, & Jiří­ Sochor. (2013). Geometry-based Algorithm for Detection of Asymmetric Tunnels in Protein Molecules. Eurographics. 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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