Dávid Švec
Impact in
- Cancer Research top 10%
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 10%
- Mitochondrial Function and Pathology
- Molecular Biology Techniques and Applications
- Biochemical and Molecular Research
- Extracellular vesicles in disease
Papers in
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- Cardiovascular Health and Disease Prevention 6
- Heart Rate Variability and Autonomic Control 4
- Blood Pressure and Hypertension Studies 2
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- Cancer, Hypoxia, and Metabolism 4
- Co-authors
- Mikael Kubista (8 shared papers)Vendula Novosadová (2 shared papers)Michael Walter Pfaffl (1 shared paper)Aleš Tichopád (1 shared paper)Robert Sjöback (5 shared papers)Anders Ståhlberg (5 shared papers)Daniel Andersson (4 shared papers)Michal Javorka (9 shared papers)
In The Last Decade
Dávid Švec
28 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 217
- Molecular Biology 657
- Genetics 37
- Oncology 83
- Immunology 56
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 461 | |
| 2 | 2017 | 252 | |
| 3 | 2018 | 245 | |
| 4 | 2013 | 51 | |
| 5 | 2015 | 37 | |
| 6 | 2015 | 36 | |
| 7 | 2015 | 33 | |
| 8 | 2025 | 26 | |
| 9 | 2000 | 25 | |
| 10 | 2010 | 23 | |
| 11 | 2014 | 19 | |
| 12 | 2015 | 17 | |
| 13 | 2017 | 16 | |
| 14 | 2016 | 15 | |
| 15 | 2019 | 12 | |
| 16 | 2021 | 12 | |
| 17 | 2021 | 9 | |
| 18 | 2018 | 7 | |
| 19 | 2018 | 7 | |
| 20 | 2021 | 6 |
About Dávid Švec
Dávid Švec is a scholar working on Cardiology and Cardiovascular Medicine, Cancer Research, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (9 papers), Cardiovascular Health and Disease Prevention (6 papers), Cancer, Hypoxia, and Metabolism (4 papers), Heart Rate Variability and Autonomic Control (4 papers), Mitochondrial Function and Pathology (4 papers), Sarcoma Diagnosis and Treatment (2 papers), Blood Pressure and Hypertension Studies (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Cancer Research (217 citations), Molecular Biology (657 citations), Genetics (37 citations), Oncology (83 citations) and Immunology (56 citations). Dávid Švec has collaborated with scholars based in Czechia, Slovakia and Sweden. Frequent co-authors include Mikael Kubista, Vendula Novosadová, Michael Walter Pfaffl, Aleš Tichopád, Robert Sjöback, Anders Ståhlberg, Daniel Andersson, Michal Javorka, Milos Pekny and Vlasta Korenková. Their work appears in journals such as Physiological Research, OncoImmunology, The Journal of Pathology, Frontiers in Oncology and International Journal of Molecular Sciences.
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.