Dávid Švec
Impact in
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- Molecular Biology Techniques and Applications
- RNA Research and Splicing
- Advanced biosensing and bioanalysis techniques
- Single-cell and spatial transcriptomics
- Identification and Quantification in Food
Papers in
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- Molecular Biology Techniques and Applications 9
- RNA Research and Splicing 7
- RNA modifications and cancer 2
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- Cardiovascular Health and Disease Prevention 6
- Heart Rate Variability and Autonomic Control 6
- Blood Pressure and Hypertension Studies 3
- Co-authors
- Mikael Kubista (8 shared papers)Vendula Novosadová (2 shared papers)Michael W. Pfaffl (1 shared paper)Aleš Tichopád (1 shared paper)Anders Ståhlberg (5 shared papers)Daniel Andersson (4 shared papers)Robert Sjöback (4 shared papers)Henrik Laurell (1 shared paper)
In The Last Decade
Dávid Švec
24 papers receiving 808 citations
Dávid Švec's Hit Papers
Peers
Comparison fields: 5 of 114
- Molecular Biology 388
- Cancer Research 76
- Infectious Diseases 73
- Microbiology 21
- Immunology 70
Countries citing papers authored by Dávid Švec
This map shows the geographic impact of Dávid Švec'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 Švec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dávid Švec more than expected).
Fields of papers citing papers by Dávid Švec
This network shows the impact of papers produced by Dávid Švec. 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 Švec. The network helps show where Dávid Švec may publish in the future.
Co-authors
The 25 scholars most cited alongside Dávid Švec, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | How good is a PCR efficiency estimate: Recommendations for precise and robust qPCR efficiency assessments Hit paper breakdown → | 2015 | 425 |
| 2 | 2012 | 75 | |
| 3 | 2013 | 49 | |
| 4 | 2015 | 36 | |
| 5 | 2015 | 33 | |
| 6 | 2015 | 33 | |
| 7 | 2010 | 24 | |
| 8 | 2000 | 23 | |
| 9 | 2014 | 18 | |
| 10 | 2015 | 15 | |
| 11 | 2017 | 14 | |
| 12 | 2016 | 12 | |
| 13 | 2019 | 11 | |
| 14 | 2021 | 11 | |
| 15 | 2021 | 8 | |
| 16 | 2018 | 7 | |
| 17 | 2018 | 7 | |
| 18 | 2021 | 5 | |
| 19 | 2018 | 4 | |
| 20 | 2024 | 3 |
About Dávid Švec
Dávid Švec is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Ecology and Oncology, having authored 27 papers that have together received 821 indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), RNA Research and Splicing (7 papers), Cardiovascular Health and Disease Prevention (6 papers), Heart Rate Variability and Autonomic Control (6 papers), Blood Pressure and Hypertension Studies (3 papers), Hemodynamic Monitoring and Therapy (2 papers), Non-Invasive Vital Sign Monitoring (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (388 citations), Cancer Research (76 citations), Infectious Diseases (73 citations), Microbiology (21 citations) and Immunology (70 citations). Dávid Švec has collaborated with scholars based in Czechia, Slovakia and Sweden. Frequent co-authors include Mikael Kubista, Vendula Novosadová, Michael W. Pfaffl, Aleš Tichopád, Anders Ståhlberg, Daniel Andersson, Robert Sjöback, Henrik Laurell, Jason S. Iacovoni and Jean-José Maoret. Their work appears in journals such as Physiological Research, OncoImmunology, The Journal of Pathology, Communications Biology and Physiology & Behavior.
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.