Stanislav Mazurenko
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- Protein Structure and Dynamics 16
- Microbial Metabolic Engineering and Bioproduction 7
- Machine Learning in Bioinformatics 4
- Bioinformatics and Genomic Networks 4
- Biotechnology top 10%
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- Optimization and Variational Analysis 3
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- Enzyme Structure and Function 7
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- Innovative Microfluidic and Catalytic Techniques Innovation 3
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- Sparse and Compressive Sensing Techniques 3
- Co-authors
- Jiřı́ DamborskýZbyněk ProkopDavid BednářAntonín KunkaJan ŠtouračMiloš MusilJuraj DúbravaAndy Beier
- Journals
- Nucleic Acids Research (3 papers)SHILAP Revista de lepidopterología (2 papers)Bioinformatics (1 paper)
- Partner nations
- CzechiaUnited KingdomDenmark
In The Last Decade
Stanislav Mazurenko
36 papers receiving 901 citations
Peers
Comparison fields: 5 of 110
- Molecular Biology 653
- Biotechnology 78
- Computational Theory and Mathematics 83
- Pollution 59
- Biomaterials 65
Countries citing papers authored by Stanislav Mazurenko
This map shows the geographic impact of Stanislav Mazurenko'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 Stanislav Mazurenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stanislav Mazurenko more than expected).
Fields of papers citing papers by Stanislav Mazurenko
This network shows the impact of papers produced by Stanislav Mazurenko. 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 Stanislav Mazurenko. The network helps show where Stanislav Mazurenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Stanislav Mazurenko, 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 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 1 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 41 | |
| 12 | 2023 | 13 | |
| 13 | 2023 | 88 | |
| 14 | 2022 | 32 | |
| 15 | 2022 | 13 | |
| 16 | 2020 | 1 | |
| 17 | 2019 | 1 | |
| 18 | 2018 | 31 | |
| 19 | 2017 | 53 | |
| 20 | 2017 | 47 |
About Stanislav Mazurenko
Stanislav Mazurenko is a scholar working on Health Informatics, Computational Theory and Mathematics and Numerical Analysis, having authored 39 papers that have together received 917 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Enzyme Structure and Function (7 papers), Microbial Metabolic Engineering and Bioproduction (7 papers), Machine Learning in Bioinformatics (4 papers), Bioinformatics and Genomic Networks (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (3 papers), Sparse and Compressive Sensing Techniques (3 papers) and Optimization and Variational Analysis (3 papers). The work is most often cited by research in Molecular Biology (653 citations), Biotechnology (78 citations) and Computational Theory and Mathematics (83 citations). Stanislav Mazurenko has collaborated with scholars based in Czechia, United Kingdom and Denmark. Frequent co-authors include Jiřı́ Damborský, Zbyněk Prokop, David Bednář, Antonín Kunka, Jan Štourač, Miloš Musil, Juraj Dúbrava, Andy Beier, Koen Beerens and Piia Kokkonen. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología 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.