Pavel Švec
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing 16
- Food Science top 2%
- Probiotics and Fermented Foods 23
- Endocrinology top 5%
- Biotechnology top 5%
- Microbial Metabolism and Applications 11
- Molecular Medicine top 5%
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- Genomics and Phylogenetic Studies 47
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- Antimicrobial Resistance in Staphylococcus 25
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- Microbial Community Ecology and Physiology 19
- Bacteriophages and microbial interactions 14
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- Oral microbiology and periodontitis research 10
- Co-authors
- Ivo SedláčekRoman PantůčekDana NovákováIvana MašlaňováPetr PetřášStanislava KrálováJiří KillerMarc Vancanneyt
In The Last Decade
Pavel Švec
95 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Clinical Biochemistry 239
- Food Science 447
- Endocrinology 106
- Biotechnology 170
- Molecular Medicine 97
Countries citing papers authored by Pavel Švec
This map shows the geographic impact of Pavel 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 Pavel Švec with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pavel Švec more than expected).
Fields of papers citing papers by Pavel Švec
This network shows the impact of papers produced by Pavel 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 Pavel Švec. The network helps show where Pavel Švec may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Pavel 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 4 | |
| 5 | 2022 | 24 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 5 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 12 | |
| 10 | 2020 | 50 | |
| 11 | 2020 | 10 | |
| 12 | 2020 | 28 | |
| 13 | 2019 | 15 | |
| 14 | 2018 | 26 | |
| 15 | 2018 | 11 | |
| 16 | 2017 | 48 | |
| 17 | Isolation of the psychrotolerant species Bacillus weihenstephanensis from raw cow's milk | 2003 | 5 |
| 18 | Occurrence of Bacillus cereus and Bacillus licheniformis strains in the course of UHT milk production | 2002 | 11 |
| 19 | 2001 | 2 | |
| 20 | 2000 | 35 |
About Pavel Švec
Pavel Švec is a scholar working on Clinical Biochemistry, Periodontics, Biotechnology, Infectious Diseases and Microbiology, having authored 99 papers that have together received 1.7k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (47 papers), Antimicrobial Resistance in Staphylococcus (25 papers), Probiotics and Fermented Foods (23 papers), Microbial Community Ecology and Physiology (19 papers), Bacterial Identification and Susceptibility Testing (16 papers), Bacteriophages and microbial interactions (14 papers), Microbial Metabolism and Applications (11 papers) and Oral microbiology and periodontitis research (10 papers). The work is most often cited by research in Clinical Biochemistry (239 citations), Food Science (447 citations), Endocrinology (106 citations), Biotechnology (170 citations) and Molecular Medicine (97 citations). Pavel Švec has collaborated with scholars based in Czechia, Belgium and Austria. Frequent co-authors include Ivo Sedláček, Roman Pantůček, Dana Nováková, Ivana Mašlaňová, Petr Petřáš, Stanislava Králová, Jiří Killer, Marc Vancanneyt, Jean Swings and Jiřı́ Doškař. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Systematic and Applied Microbiology, Antonie van Leeuwenhoek, Applied and Environmental Microbiology and Journal of Applied Microbiology.
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.