Maria Tokuyama

11 papers and 376 indexed citations i.

About

Maria Tokuyama is a scholar working on Molecular Biology, Immunology and Epidemiology. According to data from OpenAlex, Maria Tokuyama has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Epidemiology. Recurrent topics in Maria Tokuyama’s work include CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers) and interferon and immune responses (3 papers). Maria Tokuyama is often cited by papers focused on CRISPR and Genetic Engineering (4 papers), Chromosomal and Genetic Variations (3 papers) and interferon and immune responses (3 papers). Maria Tokuyama collaborates with scholars based in United States, Canada and Japan. Maria Tokuyama's co-authors include Yong Kong, Akiko Iwasaki, Insoo Kang, Eric Song, Teshika Jayewickreme, Izabela Sitkiewicz, Payal Patel, James M. Musser, Samuel A. Shelburne and David H. Raulet and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Immunity.

In The Last Decade

Co-authorship network of co-authors of Maria Tokuyama i

Fields of papers citing papers by Maria Tokuyama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maria Tokuyama

Since Specialization
Citations

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