Lukáš Pravda
Impact in
- Molecular Biology top 5%
- Protein Structure and Dynamics
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Structural Biology top 10%
Papers in
- Spectroscopy 10
- Advanced Proteomics Techniques and Applications 6
- Mass Spectrometry Techniques and Applications 4
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- Enzyme Structure and Function 12
- Co-authors
- Radka Svobodová VařekováRoman A. LaskowskiJanet M. ThorntonJagoda JabłońskaDavid SehnalJaroslav KočaKarel BerkaMichal Otyepka
- Journals
- Nucleic Acids Research (5 papers)Biophysical Journal (4 papers)Journal of Cheminformatics (3 papers)BMC Bioinformatics (2 papers)Bioinformatics (2 papers)
- Partner nations
- CzechiaUnited KingdomUnited States
In The Last Decade
Lukáš Pravda
23 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Molecular Biology 1.3k
- Structural Biology 20
- Computational Theory and Mathematics 203
- Biotechnology 107
- Infectious Diseases 204
Countries citing papers authored by Lukáš Pravda
This map shows the geographic impact of Lukáš Pravda'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 Lukáš Pravda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lukáš Pravda more than expected).
Fields of papers citing papers by Lukáš Pravda
This network shows the impact of papers produced by Lukáš Pravda. 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 Lukáš Pravda. The network helps show where Lukáš Pravda may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lukáš Pravda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 8 | |
| 3 | 2021 | 3 | |
| 4 | 2020 | 4 | |
| 5 | 2019 | 12 | |
| 6 | 2018 | 1 | |
| 7 | PDBsum: Structural summaries of PDB entries Hit paper breakdown → | 2017 | 1110 |
| 8 | 2017 | 3 | |
| 9 | 2017 | 5 | |
| 10 | 2017 | 1 | |
| 11 | 2017 | 22 | |
| 12 | 2016 | 10 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 14 | |
| 15 | 2015 | 54 | |
| 16 | 2014 | 16 | |
| 17 | 2014 | 9 | |
| 18 | 2014 | 88 | |
| 19 | 2013 | 259 | |
| 20 | MOLE 2.0: Improved Approach for Analysis of Biomacromolecular Channels and Pores | 2013 | 1 |
About Lukáš Pravda
Lukáš Pravda is a scholar working on Spectroscopy, Materials Chemistry, Molecular Biology, Computational Theory and Mathematics and Physiology, having authored 23 papers that have together received 1.9k indexed citations. Recurring topics across this work include Enzyme Structure and Function (12 papers), Protein Structure and Dynamics (11 papers), Advanced Proteomics Techniques and Applications (6 papers), Computational Drug Discovery Methods (4 papers), Mass Spectrometry Techniques and Applications (4 papers), Microbial Metabolic Engineering and Bioproduction (4 papers), Bioinformatics and Genomic Networks (3 papers) and Ion-surface interactions and analysis (2 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Structural Biology (20 citations), Computational Theory and Mathematics (203 citations), Biotechnology (107 citations) and Infectious Diseases (204 citations). Lukáš Pravda has collaborated with scholars based in Czechia, United Kingdom and United States. Frequent co-authors include Radka Svobodová Vařeková, Roman A. Laskowski, Janet M. Thornton, Jagoda Jabłońska, David Sehnal, Jaroslav Koča, Karel Berka, Michal Otyepka, Veronika Navrátilová and Pavel Banáš. Their work appears in journals such as Nucleic Acids Research, Biophysical Journal, Journal of Cheminformatics, BMC Bioinformatics and Bioinformatics.
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.