Kayoko Shioda

45 papers and 661 indexed citations i.

About

Kayoko Shioda is a scholar working on Infectious Diseases, Epidemiology and Modeling and Simulation. According to data from OpenAlex, Kayoko Shioda has authored 45 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Infectious Diseases, 15 papers in Epidemiology and 10 papers in Modeling and Simulation. Recurrent topics in Kayoko Shioda’s work include Viral gastroenteritis research and epidemiology (11 papers), COVID-19 epidemiological studies (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Kayoko Shioda is often cited by papers focused on Viral gastroenteritis research and epidemiology (11 papers), COVID-19 epidemiological studies (10 papers) and SARS-CoV-2 and COVID-19 Research (9 papers). Kayoko Shioda collaborates with scholars based in United States, Mozambique and Denmark. Kayoko Shioda's co-authors include Aron J. Hall, Anita Kambhampati, Makoto Mori, Arnar Geirsson, Benjamin A. Lopman, Abeel A. Mangi, Patrick S. Sullivan, Daniel M. Weinberger, Aaron J. Siegler and Mary E. Wikswo and has published in prestigious journals such as Nature Communications, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Kayoko Shioda i

Fields of papers citing papers by Kayoko Shioda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kayoko Shioda

Since Specialization
Citations

This map shows the geographic impact of Kayoko Shioda'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 Kayoko Shioda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kayoko Shioda 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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2025