Beata Mączyńska
- Molecular Medicine top 5%
- Microbiology top 5%
- Epidemiology
- Endocrinology top 5%
- Molecular Biology
- Co-authors
- Adam JunkaMarzenna BartoszewiczOlivier ClermontVeronika TchesnokovaÉrick DenamurBrian JohnstonJames R. JohnsonConnie Clabots
- Topics
- Antibiotic Resistance in Bacteria (9 papers)Reproductive tract infections research (8 papers)Urinary Tract Infections Management (4 papers)
- Partner nations
- PolandUnited StatesCanada
In The Last Decade
Beata Mączyńska
23 papers receiving 360 citations
Peers
Comparison fields: 5 of 74
- Molecular Medicine 165
- Microbiology 104
- Epidemiology 100
- Endocrinology 99
- Molecular Biology 60
Countries citing papers authored by Beata Mączyńska
This map shows the geographic impact of Beata Mączyńska'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 Beata Mączyńska with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beata Mączyńska more than expected).
Fields of papers citing papers by Beata Mączyńska
This network shows the impact of papers produced by Beata Mączyńska. 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 Beata Mączyńska. The network helps show where Beata Mączyńska may publish in the future.
Co-authorship network of co-authors of Beata Mączyńska
This figure shows the co-authorship network connecting the top 25 collaborators of Beata Mączyńska. A scholar is included among the top collaborators of Beata Mączyńska based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Beata Mączyńska. Beata Mączyńska is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 19 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 14 | |
| 9 | 14 | |
| 10 | 12 | |
| 11 | 21 | |
| 12 | 1 | |
| 13 | 100 | |
| 14 | 36 | |
| 15 | 28 | |
| 16 | 21 | |
| 17 | Biofilm Formation by Clinical Klebsiella Strains Expressing Various Types of Adhesins on Catheters Made of Different Materials | 5 |
| 18 | 43 | |
| 19 | [The presence of Mycoplasma hominis and Ureaplasma urealyticum in the cervical canal of uterus]. | 12 |
| 20 | [Adhesive properties and antibiotic resistance of Klebsiella strains isolated from gastrointestinal tracts of children hospitalised in Wroclaw nad Opole]. | 0 |
About Beata Mączyńska
Beata Mączyńska is a scholar working on Molecular Medicine, Applied Microbiology and Biotechnology and Microbiology, having authored 26 papers that have together received 371 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Reproductive tract infections research (8 papers) and Urinary Tract Infections Management (4 papers). The work is most often cited by research in Molecular Medicine (165 citations), Endocrinology (99 citations) and Microbiology (104 citations). Beata Mączyńska has collaborated with scholars based in Poland, United States and Canada. Frequent co-authors include Adam Junka, Marzenna Bartoszewicz, Olivier Clermont, Veronika Tchesnokova, Érick Denamur, Brian Johnston, James R. Johnson, Connie Clabots, Evgeni V. Sokurenko and M Goluda. Their work appears in journals such as PLoS ONE, Scientific Reports and Journal of Clinical 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.