David Hoksza

2.8k total citations · 2 hit papers
55 papers, 1.2k citations indexed

About

David Hoksza is a scholar working on Molecular Biology, Computational Theory and Mathematics and Spectroscopy. According to data from OpenAlex, David Hoksza has authored 55 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 21 papers in Computational Theory and Mathematics and 8 papers in Spectroscopy. Recurrent topics in David Hoksza's work include Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (20 papers) and RNA and protein synthesis mechanisms (14 papers). David Hoksza is often cited by papers focused on Computational Drug Discovery Methods (21 papers), Protein Structure and Dynamics (20 papers) and RNA and protein synthesis mechanisms (14 papers). David Hoksza collaborates with scholars based in Czechia, Luxembourg and United States. David Hoksza's co-authors include Radoslav Krivák, Petr Škoda, Marián Novotný, Lukáš Jendele, Daniel Svozil, Dávid Jakubec, Reinhard Schneider, Petr Čech, Jan Jelı́nek and Marek Ostaszewski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

David Hoksza

51 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure

2018 296 citations Radoslav Krivák, David Hoksza Journal of Cheminformatics profile →
PrankWeb: a web server for ligand binding site prediction and visualization

2019 276 citations Lukáš Jendele, Radoslav Krivák et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Hoksza Czechia	15	811	407	125	80	69	55	1.2k
Shan Chang China	21	1.1k 1.3×	374 0.9×	135 1.1×	203 2.5×	73 1.1×	92	1.6k
Seyed Shahriar Arab Iran	20	761 0.9×	184 0.5×	101 0.8×	37 0.5×	57 0.8×	87	1.2k
Lazaros Mavridis United Kingdom	13	668 0.8×	319 0.8×	171 1.4×	35 0.4×	116 1.7×	25	1.1k
Vincent Le Guilloux France	5	1.0k 1.3×	574 1.4×	189 1.5×	42 0.5×	88 1.3×	5	1.3k
Feng Yu China	15	745 0.9×	280 0.7×	102 0.8×	77 1.0×	99 1.4×	61	1.3k
Yanjing Wang China	21	794 1.0×	343 0.8×	95 0.8×	37 0.5×	29 0.4×	74	1.3k
Miriam Sgobba Italy	15	1.0k 1.2×	414 1.0×	127 1.0×	71 0.9×	178 2.6×	17	1.4k
P. Liu Canada	2	1.2k 1.4×	814 2.0×	83 0.7×	65 0.8×	83 1.2×	2	1.6k
Nalini Schaduangrat Thailand	22	1.4k 1.7×	420 1.0×	47 0.4×	60 0.8×	68 1.0×	63	1.8k
Woong‐Hee Shin South Korea	18	756 0.9×	455 1.1×	174 1.4×	23 0.3×	89 1.3×	43	1.1k

Countries citing papers authored by David Hoksza

Since Specialization

Citations

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

Fields of papers citing papers by David Hoksza

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Hoksza

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

All Works

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20 of 20 papers shown

Novotný, Marián, et al.. (2025). Hybrid protein–ligand binding residue prediction with protein language models: does the structure matter?. Bioinformatics. 41(8). 1 indexed citations

Nguyen, Duyen T., David Hoksza, Patrick May, et al.. (2024). Genomics 2 Proteins portal: a resource and discovery tool for linking genetic screening outputs to protein sequences and structures. Nature Methods. 21(10). 1947–1957. 5 indexed citations

Novotný, Marián, et al.. (2024). CryptoBench: cryptic protein–ligand binding sites dataset and benchmark. Bioinformatics. 41(1). 4 indexed citations

Gawron, Piotr, David Hoksza, Janet Piñero, et al.. (2023). Visualization of automatically combined disease maps and pathway diagrams for rare diseases. SHILAP Revista de lepidopterología. 3. 1101505–1101505.

Skopal, Tomáš, et al.. (2023). Visualizations for universal deep-feature representations: survey and taxonomy. Knowledge and Information Systems. 66(2). 811–840.

Krivák, Radoslav, et al.. (2022). AHoJ: rapid, tailored search and retrieval of apo and holo protein structures for user-defined ligands. Bioinformatics. 38(24). 5452–5453. 6 indexed citations

Sweeney, Blake, David Hoksza, Eric P. Nawrocki, et al.. (2021). R2DT is a framework for predicting and visualising RNA secondary structure using templates. Nature Communications. 12(1). 3494–3494. 77 indexed citations

Jendele, Lukáš, Radoslav Krivák, Petr Škoda, Marián Novotný, & David Hoksza. (2019). PrankWeb: a web server for ligand binding site prediction and visualization. Nucleic Acids Research. 47(W1). W345–W349. 276 indexed citations breakdown →

Hoksza, David, Piotr Gawron, Marek Ostaszewski, Jan Hasenauer, & Reinhard Schneider. (2019). Closing the gap between formats for storing layout information in systems biology. Briefings in Bioinformatics. 21(4). 1249–1260. 14 indexed citations

10.

Krivák, Radoslav & David Hoksza. (2018). P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure. Journal of Cheminformatics. 10(1). 39–39. 296 indexed citations breakdown →

11.

Jelı́nek, Jan, Petr Škoda, & David Hoksza. (2017). Utilizing knowledge base of amino acids structural neighborhoods to predict protein-protein interaction sites. BMC Bioinformatics. 18(S15). 492–492. 5 indexed citations

12.

Eliáš, Richard & David Hoksza. (2017). TRAVeLer: a tool for template-based RNA secondary structure visualization. BMC Bioinformatics. 18(1). 487–487. 20 indexed citations

13.

Eliáš, Richard & David Hoksza. (2016). RNA Secondary Structure Visualization using Tree Edit Distance. International Journal of Bioscience Biochemistry and Bioinformatics. 6(1). 9–17. 2 indexed citations

14.

Krivák, Radoslav & David Hoksza. (2015). Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features. Journal of Cheminformatics. 7(1). 12–12. 54 indexed citations

15.

Čech, Petr, David Hoksza, & Daniel Svozil. (2015). MultiSETTER: web server for multiple RNA structure comparison. BMC Bioinformatics. 16(1). 253–253. 10 indexed citations

16.

Čech, Petr, Daniel Svozil, & David Hoksza. (2012). SETTER: web server for RNA structure comparison. Nucleic Acids Research. 40(W1). W42–W48. 22 indexed citations

17.

Novák, Jiří, Tomáš Skopal, David Hoksza, & Jakub Lokoč. (2011). Non-metric similarity search of tandem mass spectra including posttranslational modifications. Journal of Discrete Algorithms. 13. 19–31. 2 indexed citations

18.

Novák, Jiří, Tomáš Skopal, David Hoksza, & Jakub Lokoč. (2010). Improving the similarity search of tandem mass spectra using metric access methods. 85–92. 1 indexed citations

19.

Novák, Jiří & David Hoksza. (2010). Parametrised Hausdorff Distance as a Non-Metric Similarity Model for Tandem Mass Spectrometry.. 48(3). 1–12. 5 indexed citations

20.

Hoksza, David & Tomáš Skopal. (2007). Index-Based Approach to Similarity Search in Protein and Nucleotide Databases. 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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