Ewa Swoboda‐Kopeć
- Co-authors
- Marta WróblewskaM. ŁuczakElżbieta Mierzwińska‐NastalskaMagdalena SikoraRenata RubinsztajnW KurzatkowskiGrażyna SygitowiczMałgorzata Bondaryk
- Topics
- Antifungal resistance and susceptibility (27 papers)Fungal Infections and Studies (16 papers)Antibiotic Resistance in Bacteria (6 papers)
- Partner nations
- PolandUnited KingdomNetherlands
In The Last Decade
Ewa Swoboda‐Kopeć
53 papers receiving 735 citations
Peers
Comparison fields: 5 of 86
- Infectious Diseases 277
- Epidemiology 244
- Molecular Biology 153
- Molecular Medicine 133
- Surgery 81
Countries citing papers authored by Ewa Swoboda‐Kopeć
This map shows the geographic impact of Ewa Swoboda‐Kopeć'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 Ewa Swoboda‐Kopeć with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ewa Swoboda‐Kopeć more than expected).
Fields of papers citing papers by Ewa Swoboda‐Kopeć
This network shows the impact of papers produced by Ewa Swoboda‐Kopeć. 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 Ewa Swoboda‐Kopeć. The network helps show where Ewa Swoboda‐Kopeć may publish in the future.
Co-authorship network of co-authors of Ewa Swoboda‐Kopeć
This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Swoboda‐Kopeć. A scholar is included among the top collaborators of Ewa Swoboda‐Kopeć 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 Ewa Swoboda‐Kopeć. Ewa Swoboda‐Kopeć is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 80 | |
| 3 | Genetic relatedness analysis of yeast like fungal strains isolated from patients with total parenteral nutrition support | 1 |
| 4 | Phenotypic and genotypic characteristic of Candida spp. strains isolated from patients with suspected catheter-related bloodstrem fungal infections | 2 |
| 5 | 9 | |
| 6 | 21 | |
| 7 | 30 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 17 | |
| 12 | Mycotoxins – dangerous metabolites of moulds | 0 |
| 13 | 25 | |
| 14 | 14 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 4 | |
| 18 | 50 | |
| 19 | 11 | |
| 20 | [HL-A antigens in diabetes mellitus]. | 5 |
About Ewa Swoboda‐Kopeć
Ewa Swoboda‐Kopeć is a scholar working on Infectious Diseases, Transplantation and Microbiology, having authored 59 papers that have together received 754 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (27 papers), Fungal Infections and Studies (16 papers) and Antibiotic Resistance in Bacteria (6 papers). The work is most often cited by research in Molecular Medicine (133 citations), Periodontics (81 citations) and Infectious Diseases (277 citations). Ewa Swoboda‐Kopeć has collaborated with scholars based in Poland, United Kingdom and Netherlands. Frequent co-authors include Marta Wróblewska, M. Łuczak, Elżbieta Mierzwińska‐Nastalska, Magdalena Sikora, Renata Rubinsztajn, W Kurzatkowski, Grażyna Sygitowicz, Małgorzata Bondaryk, Monika Staniszewska and Dariusz Kawecki. Their work appears in journals such as International Journal of Pharmaceutics, Transplantation and Journal of Antimicrobial Chemotherapy.
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.