Jodie McVernon
- Epidemiology top 0.5%
- Modeling and Simulation top 0.2%
- Infectious Diseases top 1%
- Microbiology top 0.2%
- Immunology top 5%
- Co-authors
- James M. McCawMary RamsayMary SlackNick AndrewsJohn D. MathewsNicholas GeardPatricia T. CampbellTerry Nolan
- Topics
- Influenza Virus Research Studies (83 papers)COVID-19 epidemiological studies (68 papers)Bacterial Infections and Vaccines (34 papers)
- Journals
- The LancetJAMANature Communications
- Partner nations
- AustraliaUnited KingdomUnited States
In The Last Decade
Jodie McVernon
171 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 160
- Epidemiology 2.6k
- Modeling and Simulation 1.0k
- Infectious Diseases 977
- Microbiology 921
- Immunology 440
Countries citing papers authored by Jodie McVernon
This map shows the geographic impact of Jodie McVernon'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 Jodie McVernon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jodie McVernon more than expected).
Fields of papers citing papers by Jodie McVernon
This network shows the impact of papers produced by Jodie McVernon. 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 Jodie McVernon. The network helps show where Jodie McVernon may publish in the future.
Co-authorship network of co-authors of Jodie McVernon
This figure shows the co-authorship network connecting the top 25 collaborators of Jodie McVernon. A scholar is included among the top collaborators of Jodie McVernon 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 Jodie McVernon. Jodie McVernon 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 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 19 | |
| 14 | 52 | |
| 15 | 1 | |
| 16 | 6 | |
| 17 | The time-interval between infections and viral hierarchies are determinants of viral interference following influenza virus infection in a ferret model | 3 |
| 18 | Proof of principle for an immunological model to explain mortality variations over the three waves of the 1918-1919 pandemic | 1 |
| 19 | A decision support tool for evaluating the impact of a diagnostic-capacity and antiviral-delivery constrained intervention strategy on an influenza pandemic | 4 |
| 20 | 21 |
About Jodie McVernon
Jodie McVernon is a scholar working on Modeling and Simulation, Microbiology and Infectious Diseases, having authored 177 papers that have together received 3.9k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (83 papers), COVID-19 epidemiological studies (68 papers) and Bacterial Infections and Vaccines (34 papers). The work is most often cited by research in Modeling and Simulation (1.0k citations), Microbiology (921 citations) and Epidemiology (2.6k citations). Jodie McVernon has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include James M. McCaw, Mary Ramsay, Mary Slack, Nick Andrews, John D. Mathews, Nicholas Geard, Patricia T. Campbell, Terry Nolan, Peter Richmond and Caroline Trotter. Their work appears in journals such as The Lancet, JAMA and Nature Communications.
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.