Klaudia Kosowska-Shick
- Infectious Diseases top 2%
- Molecular Biology
- Pharmacology top 5%
- Molecular Medicine top 1%
- Epidemiology top 10%
- Co-authors
- Peter C. AppelbaumPamela McGheeCatherine ClarkBonifacio DewasseGlenn A. PankuchKim CreditoTatiana BogdanovichLois M. Ednie
- Topics
- Antimicrobial Resistance in Staphylococcus (25 papers)Pneumonia and Respiratory Infections (14 papers)Antibiotics Pharmacokinetics and Efficacy (13 papers)
- Journals
- Journal of Clinical MicrobiologyAntimicrobial Agents and ChemotherapyJournal of Antimicrobial Chemotherapy
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Klaudia Kosowska-Shick
35 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 708
- Molecular Biology 380
- Pharmacology 325
- Molecular Medicine 320
- Epidemiology 278
Countries citing papers authored by Klaudia Kosowska-Shick
This map shows the geographic impact of Klaudia Kosowska-Shick'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 Klaudia Kosowska-Shick with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaudia Kosowska-Shick more than expected).
Fields of papers citing papers by Klaudia Kosowska-Shick
This network shows the impact of papers produced by Klaudia Kosowska-Shick. 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 Klaudia Kosowska-Shick. The network helps show where Klaudia Kosowska-Shick may publish in the future.
Co-authorship network of co-authors of Klaudia Kosowska-Shick
This figure shows the co-authorship network connecting the top 25 collaborators of Klaudia Kosowska-Shick. A scholar is included among the top collaborators of Klaudia Kosowska-Shick 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 Klaudia Kosowska-Shick. Klaudia Kosowska-Shick is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 80 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 18 | |
| 5 | 32 | |
| 6 | 148 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 10 | |
| 10 | 55 | |
| 11 | Molecular and Epidemiological Characteristics of Linezolid-Resistant Coagulase-Negative Staphylococci at a Tertiary Care Hospital | 1 |
| 12 | 19 | |
| 13 | 29 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 17 | |
| 17 | 106 | |
| 18 | 12 | |
| 19 | 66 | |
| 20 | 1 |
About Klaudia Kosowska-Shick
Klaudia Kosowska-Shick is a scholar working on Molecular Medicine, Clinical Biochemistry and Infectious Diseases, having authored 35 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (25 papers), Pneumonia and Respiratory Infections (14 papers) and Antibiotics Pharmacokinetics and Efficacy (13 papers). The work is most often cited by research in Molecular Medicine (320 citations), Clinical Biochemistry (262 citations) and Infectious Diseases (708 citations). Klaudia Kosowska-Shick has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Peter C. Appelbaum, Pamela McGhee, Catherine Clark, Bonifacio Dewasse, Glenn A. Pankuch, Kim Credito, Tatiana Bogdanovich, Lois M. Ednie, Kathleen G. Julian and Sandrine Lemaire. Their work appears in journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy 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.