Stephen Mac
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
-
- Antibiotic Use and Resistance
Papers in
-
- Respiratory viral infections research 2
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- COVID-19 epidemiological studies 4
- Co-authors
- Beate Sander (18 shared papers)David Naimark (8 shared papers)Yasín A. Khan (8 shared papers)Kali Barrett (8 shared papers)Raphael Ximenes (8 shared papers)Rob G. Stirling (1 shared paper)Matthew Tunis (1 shared paper)Samir N. Patel (4 shared papers)
- Journals
- PLoS ONE (3 papers)CMAJ Open (2 papers)International Journal of Rehabilitation Research (1 paper)Cancer Medicine (1 paper)BMJ Open (1 paper)
- Partner nations
- CanadaBrazilUnited States
In The Last Decade
Stephen Mac
19 papers receiving 403 citations
Peers
Comparison fields: 5 of 77
- Parasitology 84
- Applied Microbiology and Biotechnology 18
- Modeling and Simulation 40
- Infectious Diseases 114
- Molecular Medicine 17
Countries citing papers authored by Stephen Mac
This map shows the geographic impact of Stephen Mac'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 Stephen Mac with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Mac more than expected).
Fields of papers citing papers by Stephen Mac
This network shows the impact of papers produced by Stephen Mac. 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 Stephen Mac. The network helps show where Stephen Mac may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Mac, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 82 | |
| 2 | 2019 | 70 | |
| 3 | 2020 | 69 | |
| 4 | 2019 | 29 | |
| 5 | 2021 | 25 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 14 | |
| 10 | 2023 | 13 | |
| 11 | 2018 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2024 | 0 |
About Stephen Mac
Stephen Mac is a scholar working on Epidemiology, Modeling and Simulation, Parasitology, Infectious Diseases and Oncology, having authored 23 papers that have together received 412 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (4 papers), Vector-borne infectious diseases (4 papers), COVID-19 and healthcare impacts (2 papers), Respiratory viral infections research (2 papers), Inflammatory Bowel Disease (2 papers), Infection Control and Ventilation (1 paper), Antibiotic Use and Resistance (1 paper) and Biosimilars and Bioanalytical Methods (1 paper). The work is most often cited by research in Parasitology (84 citations), Applied Microbiology and Biotechnology (18 citations), Modeling and Simulation (40 citations), Infectious Diseases (114 citations) and Molecular Medicine (17 citations). Stephen Mac has collaborated with scholars based in Canada, Brazil and United States. Frequent co-authors include Beate Sander, David Naimark, Yasín A. Khan, Kali Barrett, Raphael Ximenes, Rob G. Stirling, Matthew Tunis, Samir N. Patel, Tiffany Fitzpatrick and Jennie Johnstone. Their work appears in journals such as PLoS ONE, CMAJ Open, International Journal of Rehabilitation Research, Cancer Medicine and BMJ Open.
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.