Masumi Ai

67 papers and 1.7k indexed citations i.

About

Masumi Ai is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Masumi Ai has authored 67 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Endocrinology, Diabetes and Metabolism, 36 papers in Surgery and 15 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Masumi Ai’s work include Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Lipoproteins and Cardiovascular Health (28 papers) and Cancer, Lipids, and Metabolism (14 papers). Masumi Ai is often cited by papers focused on Diabetes, Cardiovascular Risks, and Lipoproteins (35 papers), Lipoproteins and Cardiovascular Health (28 papers) and Cancer, Lipids, and Metabolism (14 papers). Masumi Ai collaborates with scholars based in Japan, United States and Taiwan. Masumi Ai's co-authors include Ernst J. Schaefer, Seiko Otokozawa, Bela F. Asztalos, Katsuyuki Nakajima, Akira Tanaka, L. Adrienne Cupples, Nirupa R. Matthan, Peter H. Jones, Evan A. Stein and Charles C. White and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of Masumi Ai i

Fields of papers citing papers by Masumi Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masumi Ai

Since Specialization
Citations

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