Masaki Makino

29 papers and 590 indexed citations i.

About

Masaki Makino is a scholar working on Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Masaki Makino has authored 29 papers receiving a total of 590 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Masaki Makino’s work include Artificial Intelligence in Healthcare (6 papers), T-cell and B-cell Immunology (5 papers) and Machine Learning in Healthcare (5 papers). Masaki Makino is often cited by papers focused on Artificial Intelligence in Healthcare (6 papers), T-cell and B-cell Immunology (5 papers) and Machine Learning in Healthcare (5 papers). Masaki Makino collaborates with scholars based in Japan and United States. Masaki Makino's co-authors include Mitsuyasu Itoh, Keiko Uchimura, Kentaro Fujiwara, Akio Nagasaka, Atsushi Suzuki, Rikio Shinohara, Naohisa Oda, Katsumi Iwase, Mutsuko Nagata and Rina Hayashi and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes and Scientific Reports.

In The Last Decade

Co-authorship network of co-authors of Masaki Makino i

Fields of papers citing papers by Masaki Makino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Masaki Makino

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025