Barbara Mederski
- Infectious Diseases top 5%
- Pulmonary and Respiratory Medicine top 10%
- Modeling and Simulation top 2%
- Public Health, Environmental and Occupational Health top 10%
- Oncology
- Co-authors
- Donald E. LowAllison McGeerTamara WallingtonAndrew E. SimorMona LoutfyFrances JamiesonTom WongDiane White
- Topics
- SARS-CoV-2 and COVID-19 Research (3 papers)Infection Control and Ventilation (3 papers)Respiratory viral infections research (2 papers)
- Journals
- The Journal of Infectious DiseasesEmerging infectious diseasesAmerican Journal of Roentgenology
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Barbara Mederski
11 papers receiving 777 citations
Peers
Comparison fields: 5 of 102
- Infectious Diseases 396
- Pulmonary and Respiratory Medicine 330
- Modeling and Simulation 162
- Public Health, Environmental and Occupational Health 157
- Oncology 118
Countries citing papers authored by Barbara Mederski
This map shows the geographic impact of Barbara Mederski'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 Mederski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Mederski more than expected).
Fields of papers citing papers by Barbara Mederski
This network shows the impact of papers produced by Barbara Mederski. 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 Mederski. The network helps show where Barbara Mederski may publish in the future.
Co-authorship network of co-authors of Barbara Mederski
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara Mederski. A scholar is included among the top collaborators of Barbara Mederski 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 Barbara Mederski. Barbara Mederski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Investigation of the second wave (phase 2) of severe acute respiratory syndrome (SARS) in Toronto, Canada. What happened? | 17 |
| 2 | 52 | |
| 3 | 11 | |
| 4 | 8 | |
| 5 | 308 | |
| 6 | 74 | |
| 7 | 196 | |
| 8 | West Nile virus infection in 2002: morbidity and mortality among patients admitted to hospital in southcentral Ontario. | 134 |
| 9 | Update: severe acute respiratory syndrome--Toronto, 2003. | 10 |
| 10 | 1 | |
| 11 | 1 |
About Barbara Mederski
Barbara Mederski is a scholar working on Applied Microbiology and Biotechnology, Modeling and Simulation and Infectious Diseases, having authored 11 papers that have together received 812 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (3 papers), Infection Control and Ventilation (3 papers) and Respiratory viral infections research (2 papers). The work is most often cited by research in Modeling and Simulation (162 citations), Infectious Diseases (396 citations) and General Dentistry (29 citations). Barbara Mederski has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Donald E. Low, Allison McGeer, Tamara Wallington, Andrew E. Simor, Mona Loutfy, Frances Jamieson, Tom Wong, Diane White, L. Clifford McDonald and Christian Sandrock. Their work appears in journals such as The Journal of Infectious Diseases, Emerging infectious diseases and American Journal of Roentgenology.
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.