Jonathan B. Gubbay
- Epidemiology top 0.5%
- Infectious Diseases top 0.2%
- Molecular Biology top 10%
- Biomedical Engineering top 5%
- Health top 1%
- Co-authors
- Samira MubarekaAlireza EshaghiMatthew OsborneWarren C. W. ChanPranav KadhiresanAyden MalekjahaniHongmin ChenBuddhisha Udugama
- Topics
- Respiratory viral infections research (91 papers)Influenza Virus Research Studies (82 papers)Pneumonia and Respiratory Infections (27 papers)
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Jonathan B. Gubbay
169 papers receiving 6.8k citations
Hit Papers
Peers
Comparison fields: 5 of 160
- Epidemiology 3.8k
- Infectious Diseases 3.4k
- Molecular Biology 967
- Biomedical Engineering 744
- Health 660
Countries citing papers authored by Jonathan B. Gubbay
This map shows the geographic impact of Jonathan B. Gubbay'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 Jonathan B. Gubbay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan B. Gubbay more than expected).
Fields of papers citing papers by Jonathan B. Gubbay
This network shows the impact of papers produced by Jonathan B. Gubbay. 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 Jonathan B. Gubbay. The network helps show where Jonathan B. Gubbay may publish in the future.
Co-authorship network of co-authors of Jonathan B. Gubbay
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan B. Gubbay. A scholar is included among the top collaborators of Jonathan B. Gubbay 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 Jonathan B. Gubbay. Jonathan B. Gubbay 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 | 0 | |
| 5 | 26 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | Effectiveness of COVID-19 vaccines against symptomatic SARS-CoV-2 infection and severe outcomes with variants of concern in Ontariobreakdown → | 170 |
| 9 | 4 | |
| 10 | 10 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 24 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | Acute Myocardial Infarction after Laboratory-Confirmed Influenza Infectionbreakdown → | 773 |
| 18 | 6 | |
| 19 | 48 | |
| 20 | Impact of 7-Valent Pneumococcal Conjugate Vaccine (PCV7) on Invasive Pneumococcal Disease (IPD) in Children in Toronto and Peel Regions, Ontario, Canada | 2 |
About Jonathan B. Gubbay
Jonathan B. Gubbay is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases, having authored 172 papers that have together received 6.9k indexed citations. Recurring topics across this work include Respiratory viral infections research (91 papers), Influenza Virus Research Studies (82 papers) and Pneumonia and Respiratory Infections (27 papers). The work is most often cited by research in Infectious Diseases (3.4k citations), Modeling and Simulation (601 citations) and Epidemiology (3.8k citations). Jonathan B. Gubbay has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Samira Mubareka, Alireza Eshaghi, Matthew Osborne, Warren C. W. Chan, Pranav Kadhiresan, Ayden Malekjahani, Hongmin Chen, Buddhisha Udugama, H Kozłowski and Anne‐Luise Winter. Their work appears in journals such as New England Journal of Medicine, JAMA and Nature Communications.
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.