Pavel Švec

2.3k citations
100 papers · 1.8k · h-index 26

Impact in

Papers in

    • Genomics and Phylogenetic Studies 47
    • Microbial Community Ecology and Physiology 19
    • Bacteriophages and microbial interactions 13

Pavel Švec

98 papers receiving 1.7k citations

Peers

Pavel Švec
Comparison fields: 5 of 110
  • Clinical Biochemistry 242
  • Food Science 476
  • Infectious Diseases 377
  • Endocrinology 110
  • Biotechnology 178
Replace Ivo Sedláček with:
Ivo Sedláček Czechia
Alain Rincé France
Cindy Snauwaert Belgium
Sabine Chapelle Belgium
Ana Paula Guedes Frazzon Brazil
Volker Gürtler Australia
Aidan C. Parte Germany
Neil McEwan United Kingdom
Sohail Naushad Canada
Evie De Brandt Belgium
Pavel Švec relative to Ivo Sedláček Czechia Ivo Sedláček's profile →
Citations per field
00.5×1.5×
Ivo Sedláček · 1×
Citations per year

Countries citing papers authored by Pavel Švec

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Pavel Švec Line = papers co-authored together Pavel Švec links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013113
2 201090
3 201087
4 200667
5 200167
6 202050
7 201750
8 200943
9 201842
10 201041
11 200339
12 200038
13 200837
14 200536
15 200535
16 199932
17 200531
18 200530
19 201828
20 202028

About Pavel Švec

Pavel Švec is a scholar working on Molecular Biology, Ecology, Infectious Diseases, Food Science and Clinical Biochemistry, having authored 100 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (47 papers), Antimicrobial Resistance in Staphylococcus (24 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 (13 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 (242 citations), Food Science (476 citations), Infectious Diseases (377 citations), Endocrinology (110 citations) and Biotechnology (178 citations). Pavel Švec has collaborated with scholars based in Czechia, Belgium and Austria. Frequent co-authors include Ivo Sedláček, Roman Pantůček, Dana Nováková, Petr Petřáš, Ivana Mašlaňová, Stanislava Králová, Jean Swings, Marc Vancanneyt, Jiří Killer and Jiřı́ Doškař. Their work appears in journals such as INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Systematic and Applied Microbiology, Antonie van Leeuwenhoek, Current 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.

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