Mai Asano

132 papers and 2.5k indexed citations i.

About

Mai Asano is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Surgery. According to data from OpenAlex, Mai Asano has authored 132 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cardiology and Cardiovascular Medicine, 34 papers in Physiology and 25 papers in Surgery. Recurrent topics in Mai Asano’s work include Blood Pressure and Hypertension Studies (30 papers), Cardiovascular Health and Disease Prevention (25 papers) and Nutrition and Health in Aging (18 papers). Mai Asano is often cited by papers focused on Blood Pressure and Hypertension Studies (30 papers), Cardiovascular Health and Disease Prevention (25 papers) and Nutrition and Health in Aging (18 papers). Mai Asano collaborates with scholars based in Japan, United States and United Kingdom. Mai Asano's co-authors include Michiaki Fukui, Masahiro Yamazaki, Goji Hasegawa, Muhei Tanaka, Naoto Nakamura, Yoshitaka Hashimoto, Takafumi Senmaru, Masahide Hamaguchi, Emi Ushigome and Osamu Suzuki and has published in prestigious journals such as Diabetes Care, Diabetes and Gut.

In The Last Decade

Co-authorship network of co-authors of Mai Asano i

Fields of papers citing papers by Mai Asano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Asano

Since Specialization
Citations

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