Lynora Saxinger
Impact in
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- Antibiotic Use and Resistance
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
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- COVID-19 Clinical Research Studies 3
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- Fungal Infections and Studies 2
- Co-authors
- Derek K. Chu (2 shared papers)Dominik Mertz (1 shared paper)Elie A. Akl (1 shared paper)Reem A. Mustafa (1 shared paper)Cheryl A Sadowski (1 shared paper)Mark Loeb (1 shared paper)Adrian Wagg (1 shared paper)Aleksandra Wierzbowski (2 shared papers)
- Journals
- Frontiers in Public Health (2 papers)Canadian Medical Association Journal (2 papers)Infection Control and Hospital Epidemiology (2 papers)CMAJ Open (2 papers)The Journal of Rheumatology (1 paper)
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Lynora Saxinger
34 papers receiving 379 citations
Peers
Comparison fields: 5 of 93
- Applied Microbiology and Biotechnology 34
- Modeling and Simulation 33
- Infectious Diseases 80
- Medical Terminology 1
- Endocrinology 17
Countries citing papers authored by Lynora Saxinger
This map shows the geographic impact of Lynora Saxinger'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 Lynora Saxinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynora Saxinger more than expected).
Fields of papers citing papers by Lynora Saxinger
This network shows the impact of papers produced by Lynora Saxinger. 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 Lynora Saxinger. The network helps show where Lynora Saxinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Lynora Saxinger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 59 | |
| 2 | 2019 | 43 | |
| 3 | 2023 | 24 | |
| 4 | 2005 | 24 | |
| 5 | 2021 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 19 | |
| 8 | 2017 | 14 | |
| 9 | 2022 | 14 | |
| 10 | 2021 | 14 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 13 | |
| 13 | 2013 | 12 | |
| 14 | 2022 | 12 | |
| 15 | 2019 | 11 | |
| 16 | 2022 | 11 | |
| 17 | 2015 | 8 | |
| 18 | 2022 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2020 | 8 |
About Lynora Saxinger
Lynora Saxinger is a scholar working on Infectious Diseases, Epidemiology, Applied Microbiology and Biotechnology, General Health Professions and Oncology, having authored 34 papers that have together received 390 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (4 papers), COVID-19 and healthcare impacts (3 papers), COVID-19 Clinical Research Studies (3 papers), Infection Control and Ventilation (2 papers), Zoonotic diseases and public health (2 papers), COVID-19 epidemiological studies (2 papers), Fungal Infections and Studies (2 papers) and COVID-19 and Mental Health (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (34 citations), Modeling and Simulation (33 citations), Infectious Diseases (80 citations), Medical Terminology (1 citation) and Endocrinology (17 citations). Lynora Saxinger has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Derek K. Chu, Dominik Mertz, Elie A. Akl, Reem A. Mustafa, Cheryl A Sadowski, Mark Loeb, Adrian Wagg, Aleksandra Wierzbowski, Ignacio Neumann and Shahnaz Sultan. Their work appears in journals such as Frontiers in Public Health, Canadian Medical Association Journal, Infection Control and Hospital Epidemiology, CMAJ Open and The Journal of Rheumatology.
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.