Jan Bardoň
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
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- Antimicrobial Resistance in Staphylococcus 11
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- Antibiotic Resistance in Bacteria 13
- Co-authors
- Milan Kolář (21 shared papers)Pavel Sauer (7 shared papers)Dagmar Koukalová (5 shared papers)Ivan Literák (4 shared papers)Monika Dolejská (5 shared papers)Magdaléna Röderová (6 shared papers)Alois Čížek (3 shared papers)Renáta Karpíšková (5 shared papers)
In The Last Decade
Jan Bardoň
53 papers receiving 675 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 243
- Endocrinology 122
- Infectious Diseases 215
- Applied Microbiology and Biotechnology 22
- Parasitology 77
Countries citing papers authored by Jan Bardoň
This map shows the geographic impact of Jan Bardoň'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 Jan Bardoň with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Bardoň more than expected).
Fields of papers citing papers by Jan Bardoň
This network shows the impact of papers produced by Jan Bardoň. 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 Jan Bardoň. The network helps show where Jan Bardoň may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Bardoň, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 67 | |
| 2 | 2007 | 39 | |
| 3 | 2008 | 38 | |
| 4 | 2012 | 37 | |
| 5 | 2005 | 37 | |
| 6 | 2002 | 36 | |
| 7 | 2010 | 33 | |
| 8 | 2010 | 32 | |
| 9 | 2020 | 30 | |
| 10 | 2009 | 29 | |
| 11 | 2012 | 29 | |
| 12 | 2018 | 24 | |
| 13 | 2010 | 22 | |
| 14 | 2011 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2021 | 18 | |
| 17 | Occurrence of bacteria producing broad-spectrum beta-lactamases and qnr genes in hospital and urban wastewater samples. | 2016 | 14 |
| 18 | Virulence and antibiotic resistance genes in Campylobacter spp. in the Czech Republic. | 2019 | 13 |
| 19 | 2013 | 13 | |
| 20 | 2011 | 11 |
About Jan Bardoň
Jan Bardoň is a scholar working on Infectious Diseases, Molecular Medicine, Food Science, Clinical Biochemistry and Molecular Biology, having authored 56 papers that have together received 727 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial Identification and Susceptibility Testing (8 papers), Salmonella and Campylobacter epidemiology (7 papers), Neurological disorders and treatments (7 papers), Bacterial biofilms and quorum sensing (7 papers), Streptococcal Infections and Treatments (6 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Molecular Medicine (243 citations), Endocrinology (122 citations), Infectious Diseases (215 citations), Applied Microbiology and Biotechnology (22 citations) and Parasitology (77 citations). Jan Bardoň has collaborated with scholars based in Czechia, Slovakia and Argentina. Frequent co-authors include Milan Kolář, Pavel Sauer, Dagmar Koukalová, Ivan Literák, Monika Dolejská, Magdaléna Röderová, Alois Čížek, Renáta Karpíšková, Vladimír Babák and Ivo Papoušek. Their work appears in journals such as Zoonoses and Public Health, Microbial Drug Resistance, Life, SpringerPlus and Medicine.
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.