Takatsugu Sakai

14 papers and 403 indexed citations i.

About

Takatsugu Sakai is a scholar working on Epidemiology, Modeling and Simulation and Immunology. According to data from OpenAlex, Takatsugu Sakai has authored 14 papers receiving a total of 403 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 3 papers in Modeling and Simulation and 2 papers in Immunology. Recurrent topics in Takatsugu Sakai’s work include Influenza Virus Research Studies (6 papers), Respiratory viral infections research (4 papers) and COVID-19 epidemiological studies (3 papers). Takatsugu Sakai is often cited by papers focused on Influenza Virus Research Studies (6 papers), Respiratory viral infections research (4 papers) and COVID-19 epidemiological studies (3 papers). Takatsugu Sakai collaborates with scholars based in Japan, United States and India. Takatsugu Sakai's co-authors include Hiroshi Suzuki, Reiko Saito, Naohito Tanabe, Asami Sasaki, Mizuho Sato, Yasuko Sano, Fumitake Gejyo, Yugo Shobugawa, Hitoshi Oshitani and Makoto Nishikawa and has published in prestigious journals such as Journal of Clinical Microbiology, Emerging infectious diseases and Journal of Physics D Applied Physics.

In The Last Decade

Co-authorship network of co-authors of Takatsugu Sakai i

Fields of papers citing papers by Takatsugu Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takatsugu Sakai

Since Specialization
Citations

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