Maki Kiso

81 papers and 4.6k indexed citations i.

About

Maki Kiso is a scholar working on Epidemiology, Infectious Diseases and Immunology. According to data from OpenAlex, Maki Kiso has authored 81 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Epidemiology, 38 papers in Infectious Diseases and 19 papers in Immunology. Recurrent topics in Maki Kiso’s work include Influenza Virus Research Studies (51 papers), Respiratory viral infections research (38 papers) and SARS-CoV-2 and COVID-19 Research (23 papers). Maki Kiso is often cited by papers focused on Influenza Virus Research Studies (51 papers), Respiratory viral infections research (38 papers) and SARS-CoV-2 and COVID-19 Research (23 papers). Maki Kiso collaborates with scholars based in Japan, United States and Vietnam. Maki Kiso's co-authors include Yoshihiro Kawaoka, Yuko Sakai‐Tagawa, S. Yamada, Chiharu Kawakami, Keiko Mitamura, Norio Sugaya, Yasuo Suzuki, Makoto Ozawa, Kyoko Shinya and Kazuhiro Kimura and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Co-authorship network of co-authors of Maki Kiso i

Fields of papers citing papers by Maki Kiso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maki Kiso

Since Specialization
Citations

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