Akiko Sakata

52 papers and 1.3k indexed citations i.

About

Akiko Sakata is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Parasitology. According to data from OpenAlex, Akiko Sakata has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 10 papers in Endocrinology, Diabetes and Metabolism and 8 papers in Parasitology. Recurrent topics in Akiko Sakata’s work include Vector-borne infectious diseases (8 papers), Renin-Angiotensin System Studies (7 papers) and Mosquito-borne diseases and control (6 papers). Akiko Sakata is often cited by papers focused on Vector-borne infectious diseases (8 papers), Renin-Angiotensin System Studies (7 papers) and Mosquito-borne diseases and control (6 papers). Akiko Sakata collaborates with scholars based in Japan, United States and France. Akiko Sakata's co-authors include Jun Iwanami, Kana Tsukuda, Li‐Juan Min, Masaki Mogi, Masatsugu Horiuchi, Masaru Iwai, Teppei Fujita, Jian‐Mei Li, Hiroyasu Ito and Toyoshi Umezu and has published in prestigious journals such as PLoS ONE, Stroke and Brain Research.

In The Last Decade

Co-authorship network of co-authors of Akiko Sakata i

Fields of papers citing papers by Akiko Sakata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Sakata

Since Specialization
Citations

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