Daniel Svozil

6.3k total citations · 2 hit papers
56 papers, 4.7k citations indexed

About

Daniel Svozil is a scholar working on Molecular Biology, Computational Theory and Mathematics and Materials Chemistry. According to data from OpenAlex, Daniel Svozil has authored 56 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 17 papers in Computational Theory and Mathematics and 8 papers in Materials Chemistry. Recurrent topics in Daniel Svozil's work include DNA and Nucleic Acid Chemistry (19 papers), RNA and protein synthesis mechanisms (18 papers) and Computational Drug Discovery Methods (16 papers). Daniel Svozil is often cited by papers focused on DNA and Nucleic Acid Chemistry (19 papers), RNA and protein synthesis mechanisms (18 papers) and Computational Drug Discovery Methods (16 papers). Daniel Svozil collaborates with scholars based in Czechia, Russia and Germany. Daniel Svozil's co-authors include Vladimı́r Kvasnička, Jiřı́ Pospı́chal, Jiřı́ Šponer, Alberto Pérez, Modesto Orozco, Thomas E. Cheatham, Charles A. Laughton, Bohdan Schneider, Pavel Hobza and Petr Jurečka and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and The Journal of Physical Chemistry B.

In The Last Decade

Daniel Svozil

56 papers receiving 4.6k citations

Hit Papers

Refinement of the AMBER Force Field for Nucleic Acids: Im... 1997 2026 2006 2016 2007 1997 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Svozil Czechia 27 2.9k 438 406 363 335 56 4.7k
Toni Giorgino Italy 23 1.9k 0.7× 605 1.4× 418 1.0× 247 0.7× 330 1.0× 63 4.0k
Josep Lluís Gelpí Spain 33 3.3k 1.1× 648 1.5× 361 0.9× 284 0.8× 173 0.5× 87 4.7k
Marcus Weber Germany 23 1.9k 0.7× 419 1.0× 218 0.5× 272 0.7× 207 0.6× 119 3.2k
Bradley P. Feuston United States 19 947 0.3× 1.2k 2.8× 938 2.3× 319 0.9× 244 0.7× 28 4.4k
Wensheng Cai China 45 2.0k 0.7× 1.5k 3.3× 521 1.3× 860 2.4× 1.5k 4.5× 343 7.8k
William J. Dunn United States 38 1.3k 0.5× 298 0.7× 1.1k 2.6× 240 0.7× 471 1.4× 132 6.4k
Chang No Yoon South Korea 18 1.8k 0.6× 331 0.8× 228 0.6× 108 0.3× 108 0.3× 59 3.7k
Paul Czodrowski Germany 21 2.5k 0.9× 738 1.7× 1.3k 3.1× 91 0.3× 249 0.7× 41 4.2k
Reinhard Schneider Germany 43 7.0k 2.4× 1.3k 2.9× 915 2.3× 77 0.2× 196 0.6× 196 10.5k
M J Harvey United Kingdom 19 1.4k 0.5× 484 1.1× 366 0.9× 161 0.4× 106 0.3× 64 2.5k

Countries citing papers authored by Daniel Svozil

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Svozil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Svozil

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Svozil. A scholar is included among the top collaborators of Daniel Svozil 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 Daniel Svozil. Daniel Svozil 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.
Dehaen, Wim, Ya Chen, Johannes Kirchmair, et al.. (2024). Chemical space exploration with Molpher: Generating and assessing a glucocorticoid receptor ligand library. Molecular Informatics. 43(8). e202300316–e202300316. 1 indexed citations
2.
Štefková, Kristýna, Wim Dehaen, Bronislav Jurásek, et al.. (2021). Pharmacokinetic, pharmacodynamic, and behavioural studies of deschloroketamine in Wistar rats. British Journal of Pharmacology. 179(1). 65–83. 6 indexed citations
3.
Svozil, Daniel, et al.. (2021). Profiling and analysis of chemical compounds using pointwise mutual information. Journal of Cheminformatics. 13(1). 3–3. 6 indexed citations
4.
Cortés‐Ciriano, Isidro, Wim Dehaen, Pavel Kříž, et al.. (2020). QSAR-derived affinity fingerprints (part 1): fingerprint construction and modeling performance for similarity searching, bioactivity classification and scaffold hopping. Journal of Cheminformatics. 12(1). 39–39. 27 indexed citations
5.
Cortés‐Ciriano, Isidro, et al.. (2020). QSAR-derived affinity fingerprints (part 2): modeling performance for potency prediction. Journal of Cheminformatics. 12(1). 41–41. 18 indexed citations
6.
Jurásek, Bronislav, et al.. (2020). New psychoactive substances on dark web markets: From deal solicitation to forensic analysis of purchased substances. Drug Testing and Analysis. 13(1). 156–168. 10 indexed citations
7.
Kolář, Michal, et al.. (2020). SYBA: Bayesian estimation of synthetic accessibility of organic compounds. Journal of Cheminformatics. 12(1). 35–35. 99 indexed citations
8.
Jurásek, Bronislav, Vilém Bartůněk, Štěpán Huber, et al.. (2020). Can X-Ray Powder Diffraction Be a Suitable Forensic Method for Illicit Drug Identification?. Frontiers in Chemistry. 8. 499–499. 6 indexed citations
9.
Šícho, Martin, Conrad Stork, Angelica Mazzolari, et al.. (2019). FAME 3: Predicting the Sites of Metabolism in Synthetic Compounds and Natural Products for Phase 1 and Phase 2 Metabolic Enzymes. Journal of Chemical Information and Modeling. 59(8). 3400–3412. 75 indexed citations
10.
Kops, Christina de Bruyn, Conrad Stork, Martin Šícho, et al.. (2019). GLORY: Generator of the Structures of Likely Cytochrome P450 Metabolites Based on Predicted Sites of Metabolism. Frontiers in Chemistry. 7. 402–402. 55 indexed citations
11.
Schneider, Bohdan, et al.. (2018). A DNA structural alphabet provides new insight into DNA flexibility. Acta Crystallographica Section D Structural Biology. 74(1). 52–64. 19 indexed citations
12.
Šícho, Martin, Christina de Bruyn Kops, Conrad Stork, Daniel Svozil, & Johannes Kirchmair. (2017). FAME 2: Simple and Effective Machine Learning Model of Cytochrome P450 Regioselectivity. Journal of Chemical Information and Modeling. 57(8). 1832–1846. 50 indexed citations
13.
Šícho, Martin & Daniel Svozil. (2017). Molekulové dokování jako nástroj pro virtuální návrh léčiv. Chemické listy. 111(11). 754–759. 1 indexed citations
14.
Svozil, Daniel, et al.. (2017). Nonpher: computational method for design of hard-to-synthesize structures. Journal of Cheminformatics. 9(1). 20–20. 18 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.
Bartůněk, Petr, et al.. (2014). InCHlib – interactive cluster heatmap for web applications. Journal of Cheminformatics. 6(1). 44–44. 46 indexed citations
17.
Schneider, Bohdan, Jiří Černý, Daniel Svozil, et al.. (2013). Bioinformatic analysis of the protein/DNA interface. Nucleic Acids Research. 42(5). 3381–3394. 41 indexed citations
18.
Čech, Petr, Daniel Svozil, & David Hoksza. (2012). SETTER: web server for RNA structure comparison. Nucleic Acids Research. 40(W1). W42–W48. 22 indexed citations
19.
Schneider, Bohdan, Jiří Černý, Daniel Svozil, et al.. (2011). Bioinformatic Analysis of the Protein/DNA Interface. Biophysical Journal. 100(3). 69a–69a. 1 indexed citations
20.
Svozil, Daniel, Tomaso Frigato, Zdeněk Havlas, & Pavel Jungwirth. (2005). Ab initio electronic structure of thymine anions. Physical Chemistry Chemical Physics. 7(5). 840–840. 26 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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