James D Munday
- Modeling and Simulation top 2%
- Epidemiology
- Infectious Diseases
- Clinical Psychology
- Molecular Medicine
- Co-authors
- W. John EdmundsSebastian FunkKatherine E. AtkinsAlbert Jan van HoekKiesha PremS.P. ConwaySophie MeakinSam Abbott
- Topics
- COVID-19 epidemiological studies (9 papers)Influenza Virus Research Studies (3 papers)Biosimilars and Bioanalytical Methods (3 papers)
- Journals
- Nature CommunicationsPhilosophical Transactions of the Royal Society B Biological SciencesPLoS Medicine
- Partner nations
- United KingdomSwitzerlandNetherlands
In The Last Decade
James D Munday
16 papers receiving 210 citations
Peers
Comparison fields: 5 of 74
- Modeling and Simulation 110
- Epidemiology 61
- Infectious Diseases 42
- Clinical Psychology 32
- Molecular Medicine 32
Countries citing papers authored by James D Munday
This map shows the geographic impact of James D Munday'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 James D Munday with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James D Munday more than expected).
Fields of papers citing papers by James D Munday
This network shows the impact of papers produced by James D Munday. 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 James D Munday. The network helps show where James D Munday may publish in the future.
Co-authorship network of co-authors of James D Munday
This figure shows the co-authorship network connecting the top 25 collaborators of James D Munday. A scholar is included among the top collaborators of James D Munday 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 James D Munday. James D Munday 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 | 1 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 8 | |
| 6 | 74 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 1 | |
| 10 | 3 | |
| 11 | Estimating the time-varying reproduction number of SARS-CoV-2 using national and subnational case counts [version 1;peer review: awaiting peer review] | 5 |
| 12 | 14 | |
| 13 | 24 | |
| 14 | 9 | |
| 15 | 6 | |
| 16 | 4 | |
| 17 | 34 |
About James D Munday
James D Munday is a scholar working on Modeling and Simulation, Molecular Medicine and Health, having authored 17 papers that have together received 216 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (9 papers), Influenza Virus Research Studies (3 papers) and Biosimilars and Bioanalytical Methods (3 papers). The work is most often cited by research in Modeling and Simulation (110 citations), Molecular Medicine (32 citations) and Applied Microbiology and Biotechnology (6 citations). James D Munday has collaborated with scholars based in United Kingdom, Switzerland and Netherlands. Frequent co-authors include W. John Edmunds, Sebastian Funk, Katherine E. Atkins, Albert Jan van Hoek, Kiesha Prem, S.P. Conway, Sophie Meakin, Sam Abbott, Kerry LM Wong and Christopher I Jarvis. Their work appears in journals such as Nature Communications, Philosophical Transactions of the Royal Society B Biological Sciences and PLoS Medicine.
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.