Ashleigh R. Tuite

115 papers and 3.1k indexed citations i.

About

Ashleigh R. Tuite is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Ashleigh R. Tuite has authored 115 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Modeling and Simulation, 48 papers in Infectious Diseases and 44 papers in Epidemiology. Recurrent topics in Ashleigh R. Tuite’s work include COVID-19 epidemiological studies (49 papers), Influenza Virus Research Studies (22 papers) and SARS-CoV-2 and COVID-19 Research (21 papers). Ashleigh R. Tuite is often cited by papers focused on COVID-19 epidemiological studies (49 papers), Influenza Virus Research Studies (22 papers) and SARS-CoV-2 and COVID-19 Research (21 papers). Ashleigh R. Tuite collaborates with scholars based in Canada, United States and United Kingdom. Ashleigh R. Tuite's co-authors include David N. Fisman, Amy L. Greer, Isaac I. Bogoch, Marisa C. Eisenberg, Joseph H. Tien, Philippe Gros, Edwin Khoo, Alaka Mullick, Lauren Lapointe‐Shaw and Junling Ma and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.

In The Last Decade

Co-authorship network of co-authors of Ashleigh R. Tuite i

Fields of papers citing papers by Ashleigh R. Tuite

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ashleigh R. Tuite. 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 Ashleigh R. Tuite. The network helps show where Ashleigh R. Tuite may publish in the future.

Countries citing papers authored by Ashleigh R. Tuite

Since Specialization
Citations

This map shows the geographic impact of Ashleigh R. Tuite'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 Ashleigh R. Tuite with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ashleigh R. Tuite 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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