Jakub Galgonek

662 total citations · 1 hit paper
21 papers, 326 citations indexed

About

Jakub Galgonek is a scholar working on Molecular Biology, Computational Theory and Mathematics and Artificial Intelligence. According to data from OpenAlex, Jakub Galgonek has authored 21 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Computational Theory and Mathematics and 4 papers in Artificial Intelligence. Recurrent topics in Jakub Galgonek's work include Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Jakub Galgonek is often cited by papers focused on Protein Structure and Dynamics (9 papers), Computational Drug Discovery Methods (7 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). Jakub Galgonek collaborates with scholars based in Czechia, United Kingdom and United States. Jakub Galgonek's co-authors include Jiřı́ Vondrášek, Christoph Steinbeck, Guido F. Pauli, Roderic Page, Pierre‐Marie Allard, Maria Sorokina, Adriano Rutz, Egon Willighagen, Jiří Vymětal and Arnaud Gaudry and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Physical Chemistry B.

In The Last Decade

Jakub Galgonek

20 papers receiving 318 citations

Hit Papers

The LOTUS initiative for open knowledge management in nat... 2022 2026 2023 2024 2022 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jakub Galgonek Czechia 8 229 77 56 34 30 21 326
João Paulo Ataíde Martins Brazil 10 164 0.7× 163 2.1× 42 0.8× 40 1.2× 20 0.7× 16 458
Alban Lepailleur France 14 255 1.1× 194 2.5× 74 1.3× 18 0.5× 31 1.0× 32 619
Fabien Plisson Mexico 16 397 1.7× 124 1.6× 123 2.2× 29 0.9× 41 1.4× 26 723
Pradeep Anand Ravindranath United States 3 308 1.3× 209 2.7× 49 0.9× 33 1.0× 53 1.8× 10 516
Prasit Mandi Thailand 11 160 0.7× 149 1.9× 63 1.1× 16 0.5× 18 0.6× 16 558
Antje Wolf Germany 10 191 0.8× 81 1.1× 35 0.6× 51 1.5× 24 0.8× 18 340
Jingyu Lee South Korea 9 250 1.1× 190 2.5× 43 0.8× 34 1.0× 36 1.2× 12 511
Janosch Achenbach Germany 11 130 0.6× 132 1.7× 50 0.9× 78 2.3× 23 0.8× 16 370
Saw Simeon Thailand 12 244 1.1× 267 3.5× 73 1.3× 14 0.4× 53 1.8× 19 451
Peter Merseburger Belgium 4 228 1.0× 155 2.0× 95 1.7× 24 0.7× 30 1.0× 11 377

Countries citing papers authored by Jakub Galgonek

Since Specialization
Citations

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

Fields of papers citing papers by Jakub Galgonek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakub Galgonek

This figure shows the co-authorship network connecting the top 25 collaborators of Jakub Galgonek. A scholar is included among the top collaborators of Jakub Galgonek 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 Jakub Galgonek. Jakub Galgonek 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.
Galgonek, Jakub & Jiřı́ Vondrášek. (2024). The IDSM mass spectrometry extension: searching mass spectra using SPARQL. Bioinformatics. 40(4). 2 indexed citations
2.
Galgonek, Jakub, Jiřı́ Vondrášek, Petr Bouř, et al.. (2023). What are the minimal folding seeds in proteins? Experimental and theoretical assessment of secondary structure propensities of small peptide fragments. Chemical Science. 15(2). 594–608. 4 indexed citations
3.
Galgonek, Jakub & Jiřı́ Vondrášek. (2023). A comparison of approaches to accessing existing biological and chemical relational databases via SPARQL. Journal of Cheminformatics. 15(1). 61–61. 1 indexed citations
4.
Rutz, Adriano, Maria Sorokina, Jakub Galgonek, et al.. (2022). The LOTUS initiative for open knowledge management in natural products research. eLife. 11. 188 indexed citations breakdown →
5.
Musil, Miloš, Jan Štourač, Jakub Galgonek, et al.. (2022). Fully automated virtual screening pipeline of FDA-approved drugs using Caver Web. Computational and Structural Biotechnology Journal. 20. 6512–6518. 3 indexed citations
6.
Galgonek, Jakub & Jiřı́ Vondrášek. (2021). IDSM ChemWebRDF: SPARQLing small-molecule datasets. Journal of Cheminformatics. 13(1). 38–38. 11 indexed citations
7.
Vymětal, Jiří, Dávid Jakubec, Jakub Galgonek, & Jiřı́ Vondrášek. (2021). Amino Acid Interactions (INTAA) web server v2.0: a single service for computation of energetics and conservation in biomolecular 3D structures. Nucleic Acids Research. 49(W1). W15–W20. 9 indexed citations
8.
Vondrášek, Jiřı́, et al.. (2020). Correction to: Interoperable chemical structure search service. Journal of Cheminformatics. 12(1). 13–13. 3 indexed citations
9.
Galgonek, Jakub, et al.. (2019). Toward Ab Initio Protein Folding: Inherent Secondary Structure Propensity of Short Peptides from the Bioinformatics and Quantum-Chemical Perspective. The Journal of Physical Chemistry B. 123(6). 1215–1227. 14 indexed citations
10.
Vondrášek, Jiřı́, et al.. (2019). Interoperable chemical structure search service. Journal of Cheminformatics. 11(1). 45–45. 9 indexed citations
11.
Vondrášek, Jiřı́, et al.. (2018). Sachem: a chemical cartridge for high-performance substructure search. Journal of Cheminformatics. 10(1). 27–27. 17 indexed citations
12.
Galgonek, Jakub, Jiří Vymětal, Dávid Jakubec, & Jiřı́ Vondrášek. (2017). Amino Acid Interaction (INTAA) web server. Nucleic Acids Research. 45(W1). W388–W392. 33 indexed citations
13.
Kokoschka, Malte, Jakub Galgonek, Jiřı́ Vondrášek, & Pavel Hobza. (2016). Computational methods for the description of pharmacologically relevant platinum complexes – molecular structure and bond dissociation. Physical Chemistry Chemical Physics. 18(5). 4051–4062. 4 indexed citations
14.
Galgonek, Jakub, et al.. (2016). Advanced SPARQL querying in small molecule databases. Journal of Cheminformatics. 8(1). 31–31. 9 indexed citations
15.
Galgonek, Jakub & Jiřı́ Vondrášek. (2014). On InChI and evaluating the quality of cross-reference links. Journal of Cheminformatics. 6(1). 15–15. 4 indexed citations
16.
Galgonek, Jakub, David Hoksza, & Tomáš Skopal. (2011). SProt: sphere-based protein structure similarity algorithm. Proteome Science. 9(Suppl 1). S20–S20. 6 indexed citations
17.
Galgonek, Jakub & David Hoksza. (2010). SProt - from local to global protein structure similarity. 124–129.
18.
Hoksza, David & Jakub Galgonek. (2010). ALIGNMENT-BASED EXTENSION TO DDPIN FEATURE EXTRACTION. 1(1). 1 indexed citations
19.
Galgonek, Jakub, et al.. (2009). On the Effectiveness of Distances Measuring Protein Structure Similarity. 165–166. 2 indexed citations
20.
Hoksza, David & Jakub Galgonek. (2009). Density-based classification of protein structures using iterative TM-score. 87–92. 3 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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