Barbara Kot
Impact in
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
- Endocrinology top 5%
- Escherichia coli research studies
Papers in
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- Bacterial biofilms and quorum sensing 15
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- Antimicrobial Resistance in Staphylococcus 12
- Co-authors
- Małgorzata Piechota (20 shared papers)Małgorzata Witeska (11 shared papers)Agata Grużewska (8 shared papers)Bartosz Bojarski (3 shared papers)Katarzyna Wolska (13 shared papers)Iwona Sprawka (3 shared papers)Hubert Sytykiewicz (3 shared papers)Piotr Szweda (9 shared papers)
- Journals
- Pathogens (4 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (3 papers)Antibiotics (3 papers)animal (1 paper)
- Partner nations
- PolandUnited Kingdom
In The Last Decade
Barbara Kot
50 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 109
- Molecular Medicine 258
- Endocrinology 148
- Applied Microbiology and Biotechnology 54
- Clinical Biochemistry 126
- Infectious Diseases 302
Countries citing papers authored by Barbara Kot
This map shows the geographic impact of Barbara Kot'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 Barbara Kot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Kot more than expected).
Fields of papers citing papers by Barbara Kot
This network shows the impact of papers produced by Barbara Kot. 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 Barbara Kot. The network helps show where Barbara Kot may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Kot, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 177 | |
| 2 | 2020 | 121 | |
| 3 | 2018 | 99 | |
| 4 | 2018 | 81 | |
| 5 | 2019 | 58 | |
| 6 | 2015 | 55 | |
| 7 | 2019 | 43 | |
| 8 | 2023 | 42 | |
| 9 | 2016 | 42 | |
| 10 | 2013 | 41 | |
| 11 | 2020 | 37 | |
| 12 | 2017 | 37 | |
| 13 | 2018 | 34 | |
| 14 | 2021 | 33 | |
| 15 | 2020 | 32 | |
| 16 | 2016 | 31 | |
| 17 | 2007 | 27 | |
| 18 | 2012 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 2018 | 24 |
About Barbara Kot
Barbara Kot is a scholar working on Molecular Biology, Infectious Diseases, Molecular Medicine, Genetics and Food Science, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (15 papers), Antibiotic Resistance in Bacteria (15 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Yersinia bacterium, plague, ectoparasites research (11 papers), Urinary Tract Infections Management (6 papers), Essential Oils and Antimicrobial Activity (6 papers), Milk Quality and Mastitis in Dairy Cows (5 papers) and Pharmacological Effects of Natural Compounds (5 papers). The work is most often cited by research in Molecular Medicine (258 citations), Endocrinology (148 citations), Applied Microbiology and Biotechnology (54 citations), Clinical Biochemistry (126 citations) and Infectious Diseases (302 citations). Barbara Kot has collaborated with scholars based in Poland and United Kingdom. Frequent co-authors include Małgorzata Piechota, Małgorzata Witeska, Agata Grużewska, Bartosz Bojarski, Katarzyna Wolska, Iwona Sprawka, Hubert Sytykiewicz, Piotr Szweda, Agnieszka Woźniak-Kosek and Elżbieta Anna Trafny. Their work appears in journals such as Pathogens, Scientific Reports, International Journal of Molecular Sciences, Antibiotics and animal.
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.