Gabrielle Brankston
- Epidemiology top 10%
- Modeling and Simulation top 1%
- Pulmonary and Respiratory Medicine top 10%
- Infectious Diseases top 10%
- Obstetrics and Gynecology top 5%
- Co-authors
- Leah GittermanMichael GardamCamille LemieuxZahir HirjiNanette OkunB.F. MitchellEdmond A. RyanAmy L. Greer
- Topics
- COVID-19 epidemiological studies (7 papers)COVID-19 and Mental Health (4 papers)Bacterial Identification and Susceptibility Testing (3 papers)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Gabrielle Brankston
16 papers receiving 827 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Epidemiology 351
- Modeling and Simulation 243
- Pulmonary and Respiratory Medicine 237
- Infectious Diseases 233
- Obstetrics and Gynecology 123
Countries citing papers authored by Gabrielle Brankston
This map shows the geographic impact of Gabrielle Brankston'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 Gabrielle Brankston with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle Brankston more than expected).
Fields of papers citing papers by Gabrielle Brankston
This network shows the impact of papers produced by Gabrielle Brankston. 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 Gabrielle Brankston. The network helps show where Gabrielle Brankston may publish in the future.
Co-authorship network of co-authors of Gabrielle Brankston
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Brankston. A scholar is included among the top collaborators of Gabrielle Brankston 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 Gabrielle Brankston. Gabrielle Brankston is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 11 | |
| 8 | 20 | |
| 9 | 42 | |
| 10 | 13 | |
| 11 | 0 | |
| 12 | Diagnostic testing patterns for Streptococcus equi subsp. equi in Ontario horses during the years 2008 to 2018. | 1 |
| 13 | 18 | |
| 14 | 7 | |
| 15 | 26 | |
| 16 | Actionable nuggets: knowledge translation tool for the needs of patients with spinal cord injury. | 9 |
| 17 | Transmission of influenza A in human beingsbreakdown → | 559 |
| 18 | 134 |
About Gabrielle Brankston
Gabrielle Brankston is a scholar working on Modeling and Simulation, Applied Microbiology and Biotechnology and Equine, having authored 18 papers that have together received 865 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (7 papers), COVID-19 and Mental Health (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Modeling and Simulation (243 citations), Obstetrics and Gynecology (123 citations) and Infectious Diseases (233 citations). Gabrielle Brankston has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Leah Gitterman, Michael Gardam, Camille Lemieux, Zahir Hirji, Nanette Okun, B.F. Mitchell, Edmond A. Ryan, Amy L. Greer, David N. Fisman and Ashleigh R. Tuite. Their work appears in journals such as Annals of Internal Medicine, PLoS ONE and American Journal of Obstetrics and Gynecology.
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.