Martina McMenamin
- Infectious Diseases top 10%
- Health top 10%
- Modeling and Simulation top 5%
- Immunology
- Epidemiology
- Co-authors
- Joshua NealonBenjamin J. CowlingPeng WuJessica Y. WongJustin CheungEric H. Y. LauGM LeungYun Lin
- Topics
- Statistical Methods in Clinical Trials (4 papers)SARS-CoV-2 and COVID-19 Research (3 papers)Vaccine Coverage and Hesitancy (3 papers)
- Partner nations
- United KingdomHong KongSweden
In The Last Decade
Martina McMenamin
8 papers receiving 270 citations
Hit Papers
Peers
Comparison fields: 5 of 43
- Infectious Diseases 223
- Health 89
- Modeling and Simulation 70
- Immunology 27
- Epidemiology 24
Countries citing papers authored by Martina McMenamin
This map shows the geographic impact of Martina McMenamin'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 Martina McMenamin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina McMenamin more than expected).
Fields of papers citing papers by Martina McMenamin
This network shows the impact of papers produced by Martina McMenamin. 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 Martina McMenamin. The network helps show where Martina McMenamin may publish in the future.
Co-authorship network of co-authors of Martina McMenamin
This figure shows the co-authorship network connecting the top 25 collaborators of Martina McMenamin. A scholar is included among the top collaborators of Martina McMenamin 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 Martina McMenamin. Martina McMenamin 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 | 6 | |
| 3 | Vaccine effectiveness of one, two, and three doses of BNT162b2 and CoronaVac against COVID-19 in Hong Kong: a population-based observational studybreakdown → | 229 |
| 4 | 6 | |
| 5 | 13 | |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 9 |
About Martina McMenamin
Martina McMenamin is a scholar working on Statistics and Probability, Health and Modeling and Simulation, having authored 9 papers that have together received 275 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Vaccine Coverage and Hesitancy (3 papers). The work is most often cited by research in Modeling and Simulation (70 citations), Infectious Diseases (223 citations) and Health (89 citations). Martina McMenamin has collaborated with scholars based in United Kingdom, Hong Kong and Sweden. Frequent co-authors include Joshua Nealon, Benjamin J. Cowling, Peng Wu, Jessica Y. Wong, Justin Cheung, Eric H. Y. Lau, GM Leung, Yun Lin, James Wason and Anna Berglind. Their work appears in journals such as The Lancet Infectious Diseases, BMC Cancer and Orphanet Journal of Rare Diseases.
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.