Samira Mubareka
- Infectious Diseases top 0.5%
- Epidemiology top 1%
- Biomedical Engineering top 5%
- Molecular Biology top 10%
- Modeling and Simulation top 0.2%
- Co-authors
- Peter PaleseAnice C. LowenJohn SteelWarren C. W. ChanJonathan B. GubbayH KozłowskiBuddhisha UdugamaPranav Kadhiresan
- Topics
- Influenza Virus Research Studies (33 papers)SARS-CoV-2 and COVID-19 Research (31 papers)Respiratory viral infections research (29 papers)
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Samira Mubareka
115 papers receiving 6.0k citations
Hit Papers
Peers
Comparison fields: 5 of 187
- Infectious Diseases 2.6k
- Epidemiology 2.4k
- Biomedical Engineering 970
- Molecular Biology 952
- Modeling and Simulation 948
Countries citing papers authored by Samira Mubareka
This map shows the geographic impact of Samira Mubareka'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 Samira Mubareka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samira Mubareka more than expected).
Fields of papers citing papers by Samira Mubareka
This network shows the impact of papers produced by Samira Mubareka. 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 Samira Mubareka. The network helps show where Samira Mubareka may publish in the future.
Co-authorship network of co-authors of Samira Mubareka
This figure shows the co-authorship network connecting the top 25 collaborators of Samira Mubareka. A scholar is included among the top collaborators of Samira Mubareka 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 Samira Mubareka. Samira Mubareka 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 | 1 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 3 | |
| 8 | 5 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 17 | |
| 12 | 6 | |
| 13 | 24 | |
| 14 | 3 | |
| 15 | 175 | |
| 16 | 0 | |
| 17 | 8 | |
| 18 | 12 | |
| 19 | 18 | |
| 20 | 110 |
About Samira Mubareka
Samira Mubareka is a scholar working on Infectious Diseases, Modeling and Simulation and Epidemiology, having authored 127 papers that have together received 6.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (33 papers), SARS-CoV-2 and COVID-19 Research (31 papers) and Respiratory viral infections research (29 papers). The work is most often cited by research in Modeling and Simulation (948 citations), Infectious Diseases (2.6k citations) and Applied Microbiology and Biotechnology (172 citations). Samira Mubareka has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Peter Palese, Anice C. Lowen, John Steel, Warren C. W. Chan, Jonathan B. Gubbay, H Kozłowski, Buddhisha Udugama, Pranav Kadhiresan, Matthew Osborne and Ayden Malekjahani. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.