Stephen Mac
Impact in
- Parasitology top 5%
- Vector-borne infectious diseases
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- Respiratory viral infections research 3
- Co-authors
- Beate Sander (17 shared papers)Raphael Ximenes (7 shared papers)Kali Barrett (7 shared papers)David Naimark (7 shared papers)Yasín A. Khan (7 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)Clinical Infectious Diseases (1 paper)JAMA Network Open (1 paper)BMJ Open (1 paper)
- Partner nations
- CanadaUnited StatesBrazil
In The Last Decade
Stephen Mac
18 papers receiving 375 citations
Peers
Comparison fields: 5 of 82
- Parasitology 76
- Modeling and Simulation 51
- Applied Microbiology and Biotechnology 21
- Infectious Diseases 136
- Molecular Medicine 19
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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 79 | |
| 2 | 2020 | 66 | |
| 3 | 2019 | 64 | |
| 4 | 2019 | 26 | |
| 5 | 2021 | 24 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2023 | 13 | |
| 10 | 2021 | 12 | |
| 11 | 2018 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2021 | 1 | |
| 19 | 2024 | 0 | |
| 20 | 2025 | 0 |
About Stephen Mac
Stephen Mac is a scholar working on Epidemiology, Infectious Diseases, Modeling and Simulation, Economics and Econometrics and Parasitology, having authored 22 papers that have together received 387 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Vector-borne infectious diseases (4 papers), COVID-19 and healthcare impacts (3 papers), Respiratory viral infections research (3 papers), Antibiotic Use and Resistance (3 papers), Emergency and Acute Care Studies (2 papers) and Healthcare Operations and Scheduling Optimization (2 papers). The work is most often cited by research in Parasitology (76 citations), Modeling and Simulation (51 citations), Applied Microbiology and Biotechnology (21 citations), Infectious Diseases (136 citations) and Molecular Medicine (19 citations). Stephen Mac has collaborated with scholars based in Canada, United States and Brazil. Frequent co-authors include Beate Sander, Raphael Ximenes, Kali Barrett, David Naimark, Yasín A. Khan, Rob G. Stirling, Matthew Tunis, Samir N. Patel, Jennie Johnstone and Tiffany Fitzpatrick. Their work appears in journals such as PLoS ONE, CMAJ Open, Clinical Infectious Diseases, JAMA Network Open 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.