Kunimasa Yagi

94 papers and 2.0k indexed citations i.

About

Kunimasa Yagi is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Kunimasa Yagi has authored 94 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Endocrinology, Diabetes and Metabolism, 28 papers in Surgery and 27 papers in Molecular Biology. Recurrent topics in Kunimasa Yagi’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Lipoproteins and Cardiovascular Health (10 papers). Kunimasa Yagi is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (14 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers) and Lipoproteins and Cardiovascular Health (10 papers). Kunimasa Yagi collaborates with scholars based in Japan, United States and Russia. Kunimasa Yagi's co-authors include Hiroshi Mabuchi, Masakazu Yamagishi, Akihiro Inazu, Masa‐aki Kawashiri, Atsushi Nohara, Susumu Miyamoto, Yoshiyu Takeda, Junji Kobayashi, Rie Oka and Junji Koizumi and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Journal of Clinical Investigation.

In The Last Decade

Co-authorship network of co-authors of Kunimasa Yagi i

Fields of papers citing papers by Kunimasa Yagi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kunimasa Yagi

Since Specialization
Citations

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