Ayumi Goto

20 papers and 331 indexed citations i.

About

Ayumi Goto is a scholar working on Molecular Biology, Physiology and Rehabilitation. According to data from OpenAlex, Ayumi Goto has authored 20 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Physiology and 9 papers in Rehabilitation. Recurrent topics in Ayumi Goto’s work include Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (9 papers) and Adipose Tissue and Metabolism (8 papers). Ayumi Goto is often cited by papers focused on Muscle Physiology and Disorders (13 papers), Exercise and Physiological Responses (9 papers) and Adipose Tissue and Metabolism (8 papers). Ayumi Goto collaborates with scholars based in Japan and Australia. Ayumi Goto's co-authors include Katsumasa Goto, Yoshitaka Ohno, Tatsuro Egawa, Takao Sugiura, Toshitada Yoshioka, Akihiro Ikuta, Tatsuya Hayashi, Yoshinobu Ohira, Yoshinobu Ohira and Miho Suzuki and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and International Journal of Molecular Sciences.

In The Last Decade

Co-authorship network of co-authors of Ayumi Goto i

Fields of papers citing papers by Ayumi Goto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Ayumi Goto

Since Specialization
Citations

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