Akiko Takikawa

15 papers and 701 indexed citations i.

About

Akiko Takikawa is a scholar working on Physiology, Epidemiology and Geriatrics and Gerontology. According to data from OpenAlex, Akiko Takikawa has authored 15 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Physiology, 6 papers in Epidemiology and 4 papers in Geriatrics and Gerontology. Recurrent topics in Akiko Takikawa’s work include Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Akiko Takikawa is often cited by papers focused on Adipose Tissue and Metabolism (8 papers), Adipokines, Inflammation, and Metabolic Diseases (5 papers) and Sirtuins and Resveratrol in Medicine (4 papers). Akiko Takikawa collaborates with scholars based in Japan, United States and Pakistan. Akiko Takikawa's co-authors include Kazuyuki Tobe, Isao Usui, Shiho Fujisaka, Takashi Nakagawa, Allah Nawaz, Tomonobu Kado, Jun Yoshino, Sean Johnson, Shin‐ichiro Imai and Mitsukuni Yoshida and has published in prestigious journals such as Cell Metabolism, Scientific Reports and Endocrinology.

In The Last Decade

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

Fields of papers citing papers by Akiko Takikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Akiko Takikawa

Since Specialization
Citations

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