Daniela Chmelová
Impact in
- Biotechnology top 5%
- Microbial Metabolism and Applications
- Analytical Chemistry top 5%
- Dye analysis and toxicity
Papers in
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- Enzyme-mediated dye degradation 13
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- Microbial Metabolism and Applications 11
- Enzyme Production and Characterization 3
- Co-authors
- Miroslav Ondrejovič (33 shared papers)Barbora Legerská (12 shared papers)Stanislav Miertuš (8 shared papers)Miroslav Horník (2 shared papers)Vladimı́r Frecer (1 shared paper)Miroslava Kačániová (1 shared paper)Michaela Havrlentová (2 shared papers)Vratislav PSOTA (1 shared paper)
In The Last Decade
Daniela Chmelová
33 papers receiving 506 citations
Peers
Comparison fields: 5 of 75
- Biotechnology 147
- Analytical Chemistry 73
- Plant Science 265
- Biochemistry 40
- Pollution 61
Countries citing papers authored by Daniela Chmelová
This map shows the geographic impact of Daniela Chmelová'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 Daniela Chmelová with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Chmelová more than expected).
Fields of papers citing papers by Daniela Chmelová
This network shows the impact of papers produced by Daniela Chmelová. 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 Daniela Chmelová. The network helps show where Daniela Chmelová may publish in the future.
Co-authors
The 12 scholars most cited alongside Daniela Chmelová, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 76 | |
| 2 | 2018 | 57 | |
| 3 | 2020 | 44 | |
| 4 | 2022 | 43 | |
| 5 | 2022 | 30 | |
| 6 | 2020 | 28 | |
| 7 | 2016 | 27 | |
| 8 | 2024 | 26 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 18 | |
| 11 | 2015 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2021 | 12 | |
| 14 | Study of wheat protein degradation during germination | 2012 | 11 |
| 15 | 2014 | 11 | |
| 16 | 2020 | 11 | |
| 17 | 2017 | 10 | |
| 18 | 2015 | 9 | |
| 19 | 2011 | 7 | |
| 20 | DETERMINATION OF ENZYMES PRODUCED BY CERIPORIOPSIS SUBVERMISPORA DURING PRETREATMENT OF DIFFERENT BIOMASS SOURCES | 2012 | 6 |
About Daniela Chmelová
Daniela Chmelová is a scholar working on Plant Science, Biotechnology, Molecular Biology, Nutrition and Dietetics and Food Science, having authored 34 papers that have together received 517 indexed citations. Recurring topics across this work include Enzyme-mediated dye degradation (13 papers), Microbial Metabolism and Applications (11 papers), Phytochemicals and Antioxidant Activities (4 papers), biodegradable polymer synthesis and properties (4 papers), Food composition and properties (4 papers), Dye analysis and toxicity (3 papers), Fungal Biology and Applications (3 papers) and Enzyme Production and Characterization (3 papers). The work is most often cited by research in Biotechnology (147 citations), Analytical Chemistry (73 citations), Plant Science (265 citations), Biochemistry (40 citations) and Pollution (61 citations). Daniela Chmelová has collaborated with scholars based in Slovakia and Czechia. Frequent co-authors include Miroslav Ondrejovič, Barbora Legerská, Stanislav Miertuš, Miroslav Horník, Vladimı́r Frecer, Miroslava Kačániová, Michaela Havrlentová, Vratislav PSOTA, Ernest Šturdı́k and Tibor Maliar. Their work appears in journals such as Journal of Biotechnology, Fermentation, Life, Critical Reviews in Analytical Chemistry and International Journal of Biological Macromolecules.
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.