Jonathan S. Nguyen‐Van‐Tam
- Epidemiology top 0.5%
- Infectious Diseases top 0.5%
- Pulmonary and Respiratory Medicine top 2%
- Modeling and Simulation top 0.2%
- Health top 1%
- Co-authors
- Wei Shen LimCharles BeckJo Leonardi‐BeeChamira RodrigoLouise LansburyBen KillingleyKarl G. NicholsonPuja Myles
- Topics
- Influenza Virus Research Studies (98 papers)Respiratory viral infections research (53 papers)COVID-19 epidemiological studies (32 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Jonathan S. Nguyen‐Van‐Tam
162 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Epidemiology 3.5k
- Infectious Diseases 2.8k
- Pulmonary and Respiratory Medicine 998
- Modeling and Simulation 858
- Health 596
Countries citing papers authored by Jonathan S. Nguyen‐Van‐Tam
This map shows the geographic impact of Jonathan S. Nguyen‐Van‐Tam'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 Jonathan S. Nguyen‐Van‐Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan S. Nguyen‐Van‐Tam more than expected).
Fields of papers citing papers by Jonathan S. Nguyen‐Van‐Tam
This network shows the impact of papers produced by Jonathan S. Nguyen‐Van‐Tam. 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 Jonathan S. Nguyen‐Van‐Tam. The network helps show where Jonathan S. Nguyen‐Van‐Tam may publish in the future.
Co-authorship network of co-authors of Jonathan S. Nguyen‐Van‐Tam
This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan S. Nguyen‐Van‐Tam. A scholar is included among the top collaborators of Jonathan S. Nguyen‐Van‐Tam 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 Jonathan S. Nguyen‐Van‐Tam. Jonathan S. Nguyen‐Van‐Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 3 | |
| 9 | 104 | |
| 10 | 166 | |
| 11 | 35 | |
| 12 | 9 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 33 | |
| 16 | Uptake and acceptability of influenza vaccination in day nursery children. | 11 |
| 17 | 6 | |
| 18 | Clinical effectiveness, policies, and practices for influenza and pneumococcal vaccines. | 24 |
| 19 | Health care experiences of Vietnamese families in Nottingham. | 5 |
| 20 | Influenza immunisation: policies and practices of general practitioners in England, 1991/92. | 10 |
About Jonathan S. Nguyen‐Van‐Tam
Jonathan S. Nguyen‐Van‐Tam is a scholar working on Modeling and Simulation, Epidemiology and Health, having authored 168 papers that have together received 7.5k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (98 papers), Respiratory viral infections research (53 papers) and COVID-19 epidemiological studies (32 papers). The work is most often cited by research in Modeling and Simulation (858 citations), Infectious Diseases (2.8k citations) and Epidemiology (3.5k citations). Jonathan S. Nguyen‐Van‐Tam has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Wei Shen Lim, Charles Beck, Jo Leonardi‐Bee, Chamira Rodrigo, Louise Lansbury, Ben Killingley, Karl G. Nicholson, Puja Myles, J. Kenneth Baillie and A. Ahmed. Their work appears in journals such as New England Journal of Medicine, The Lancet and PLoS ONE.
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.