Dávid Jakubec
Impact in
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- Computational Drug Discovery Methods
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- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- DNA and Nucleic Acid Chemistry
Papers in
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- Protein Structure and Dynamics 11
- DNA and Nucleic Acid Chemistry 5
- RNA and protein synthesis mechanisms 5
- Microbial Metabolic Engineering and Bioproduction 2
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- Enzyme Structure and Function 3
- Co-authors
- Jiřı́ Vondrášek (11 shared papers)Radoslav Krivák (1 shared paper)David Hoksza (1 shared paper)Petr Škoda (1 shared paper)Marián Novotný (1 shared paper)Pavel Hobza (3 shared papers)Jakub Galgonek (2 shared papers)Jiří Vymětal (3 shared papers)
- Journals
- Journal of Chemical Theory and Computation (5 papers)Nucleic Acids Research (3 papers)PLoS ONE (2 papers)Bioinformatics (1 paper)EMBO Reports (1 paper)
- Partner nations
- CzechiaUnited KingdomPortugal
In The Last Decade
Dávid Jakubec
13 papers receiving 275 citations
Peers
Comparison fields: 5 of 79
- Computational Theory and Mathematics 44
- Molecular Biology 174
- Physical and Theoretical Chemistry 16
- Biotechnology 10
- Aging 2
Countries citing papers authored by Dávid Jakubec
This map shows the geographic impact of Dávid Jakubec'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 Dávid Jakubec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Jakubec more than expected).
Fields of papers citing papers by Dávid Jakubec
This network shows the impact of papers produced by Dávid Jakubec. 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 Dávid Jakubec. The network helps show where Dávid Jakubec may publish in the future.
Co-authors
The 20 scholars most cited alongside Dávid Jakubec, 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 | 2022 | 120 | |
| 2 | 2017 | 33 | |
| 3 | 2015 | 22 | |
| 4 | 2016 | 21 | |
| 5 | 2015 | 13 | |
| 6 | 2016 | 12 | |
| 7 | 2020 | 10 | |
| 8 | 2020 | 10 | |
| 9 | 2021 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2020 | 8 | |
| 12 | 2021 | 8 | |
| 13 | 2018 | 3 | |
| 14 | 2018 | 0 |
About Dávid Jakubec
Dávid Jakubec is a scholar working on Molecular Biology, Materials Chemistry, Cellular and Molecular Neuroscience, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 14 papers that have together received 277 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (11 papers), DNA and Nucleic Acid Chemistry (5 papers), RNA and protein synthesis mechanisms (5 papers), Enzyme Structure and Function (3 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Neuroscience and Neural Engineering (1 paper), Microbial Metabolites in Food Biotechnology (1 paper) and Spectroscopy and Quantum Chemical Studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (44 citations), Molecular Biology (174 citations), Physical and Theoretical Chemistry (16 citations), Biotechnology (10 citations) and Aging (2 citations). Dávid Jakubec has collaborated with scholars based in Czechia, United Kingdom and Portugal. Frequent co-authors include Jiřı́ Vondrášek, Radoslav Krivák, David Hoksza, Petr Škoda, Marián Novotný, Pavel Hobza, Jakub Galgonek, Jiří Vymětal, Roman A. Laskowski and Jiří Hostaš. Their work appears in journals such as Journal of Chemical Theory and Computation, Nucleic Acids Research, PLoS ONE, Bioinformatics and EMBO Reports.
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.