Mitsuo Uchida

52 papers and 628 indexed citations i.

About

Mitsuo Uchida is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Mitsuo Uchida has authored 52 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Epidemiology, 11 papers in Modeling and Simulation and 8 papers in Infectious Diseases. Recurrent topics in Mitsuo Uchida’s work include Influenza Virus Research Studies (16 papers), Respiratory viral infections research (11 papers) and COVID-19 epidemiological studies (11 papers). Mitsuo Uchida is often cited by papers focused on Influenza Virus Research Studies (16 papers), Respiratory viral infections research (11 papers) and COVID-19 epidemiological studies (11 papers). Mitsuo Uchida collaborates with scholars based in Japan, United Kingdom and Italy. Mitsuo Uchida's co-authors include T. Tamura, M. Sekine, Shigeyuki Kawa, V.B. Mikhailik, H. Kraus, Minoru Itoh, Hidekuni Inadera, Yoshiyasu Terao, Takayuki Honda and Shinsuke Washizuka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Environmental Science & Technology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Mitsuo Uchida i

Fields of papers citing papers by Mitsuo Uchida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mitsuo Uchida

Since Specialization
Citations

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