Anthony T. Newall

97 papers and 2.9k indexed citations i.

About

Anthony T. Newall is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Anthony T. Newall has authored 97 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Epidemiology, 23 papers in Modeling and Simulation and 21 papers in Infectious Diseases. Recurrent topics in Anthony T. Newall’s work include Influenza Virus Research Studies (42 papers), COVID-19 epidemiological studies (23 papers) and Pneumonia and Respiratory Infections (22 papers). Anthony T. Newall is often cited by papers focused on Influenza Virus Research Studies (42 papers), COVID-19 epidemiological studies (23 papers) and Pneumonia and Respiratory Infections (22 papers). Anthony T. Newall collaborates with scholars based in Australia, Belgium and United States. Anthony T. Newall's co-authors include C. Raina MacIntyre, James Wood, David Muscatello, Melissa S. Stockwell, Anita Heywood, Wayan Citra Wulan Sucipta Putri, Philippe Beutels, Mark Jit, Bayzid Rahman and Peter McIntyre and has published in prestigious journals such as PLoS ONE, American Journal of Respiratory and Critical Care Medicine and The Science of The Total Environment.

In The Last Decade

Co-authorship network of co-authors of Anthony T. Newall i

Fields of papers citing papers by Anthony T. Newall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Anthony T. Newall

Since Specialization
Citations

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).

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.

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