Tamie Sugawara

76 papers and 534 indexed citations i.

About

Tamie Sugawara is a scholar working on Epidemiology, Infectious Diseases and Modeling and Simulation. According to data from OpenAlex, Tamie Sugawara has authored 76 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Epidemiology, 19 papers in Infectious Diseases and 16 papers in Modeling and Simulation. Recurrent topics in Tamie Sugawara’s work include Data-Driven Disease Surveillance (24 papers), Influenza Virus Research Studies (23 papers) and Respiratory viral infections research (18 papers). Tamie Sugawara is often cited by papers focused on Data-Driven Disease Surveillance (24 papers), Influenza Virus Research Studies (23 papers) and Respiratory viral infections research (18 papers). Tamie Sugawara collaborates with scholars based in Japan, United States and United Kingdom. Tamie Sugawara's co-authors include Yasushi Ohkusa, Nobuhiko Okabe, Kiyosu Taniguchi, Yoshiyuki Sugishita, Yoko Ibuka, Gretchen B. Chapman, Katherine E. Atkins, Alison P. Galvani, Dan Yamin and Kazunori Oishi and has published in prestigious journals such as PLoS ONE, Journal of Epidemiology & Community Health and Vaccine.

In The Last Decade

Co-authorship network of co-authors of Tamie Sugawara i

Fields of papers citing papers by Tamie Sugawara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tamie Sugawara. 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 Tamie Sugawara. The network helps show where Tamie Sugawara may publish in the future.

Countries citing papers authored by Tamie Sugawara

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025