Anthony T. Newall
- Epidemiology top 1%
- Infectious Diseases top 2%
- Health top 1%
- Modeling and Simulation top 0.5%
- General Health Professions top 5%
- Co-authors
- C. Raina MacIntyreJames WoodDavid MuscatelloMelissa S. StockwellAnita HeywoodWayan Citra Wulan Sucipta PutriPhilippe BeutelsMark Jit
- Topics
- Influenza Virus Research Studies (44 papers)Respiratory viral infections research (25 papers)COVID-19 epidemiological studies (23 papers)
- Journals
- PLoS ONEThe Science of The Total EnvironmentAmerican Journal of Respiratory and Critical Care Medicine
- Partner nations
- AustraliaBelgiumUnited Kingdom
In The Last Decade
Anthony T. Newall
99 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 152
- Epidemiology 1.8k
- Infectious Diseases 646
- Health 530
- Modeling and Simulation 395
- General Health Professions 319
Countries citing papers authored by Anthony T. Newall
This map shows the geographic impact of Anthony T. Newall'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 Anthony T. Newall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anthony T. Newall more than expected).
Fields of papers citing papers by Anthony T. Newall
This network shows the impact of papers produced by Anthony T. Newall. 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 Anthony T. Newall. The network helps show where Anthony T. Newall may publish in the future.
Co-authorship network of co-authors of Anthony T. Newall
This figure shows the co-authorship network connecting the top 25 collaborators of Anthony T. Newall. A scholar is included among the top collaborators of Anthony T. Newall 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 Anthony T. Newall. Anthony T. Newall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 6 | |
| 4 | 10 | |
| 5 | 12 | |
| 6 | 3 | |
| 7 | 35 | |
| 8 | 6 | |
| 9 | 27 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 22 | |
| 13 | 5 | |
| 14 | 60 | |
| 15 | 149 | |
| 16 | 61 | |
| 17 | 32 | |
| 18 | 12 | |
| 19 | 32 | |
| 20 | 63 |
About Anthony T. Newall
Anthony T. Newall is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 102 papers that have together received 3.1k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (44 papers), Respiratory viral infections research (25 papers) and COVID-19 epidemiological studies (23 papers). The work is most often cited by research in Modeling and Simulation (395 citations), Health (530 citations) and Epidemiology (1.8k citations). Anthony T. Newall has collaborated with scholars based in Australia, Belgium and United Kingdom. Frequent co-authors include C. Raina MacIntyre, James Wood, David Muscatello, Melissa S. Stockwell, Anita Heywood, Wayan Citra Wulan Sucipta Putri, Philippe Beutels, Mark Jit, Robin Turner and Bayzid Rahman. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and American Journal of Respiratory and Critical Care 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.