M. Kai

28 papers and 618 indexed citations i.

About

M. Kai is a scholar working on Equine, Surgery and Molecular Biology. According to data from OpenAlex, M. Kai has authored 28 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Equine, 7 papers in Surgery and 6 papers in Molecular Biology. Recurrent topics in M. Kai’s work include Veterinary Equine Medical Research (9 papers), Cardiovascular and exercise physiology (5 papers) and Sports Performance and Training (4 papers). M. Kai is often cited by papers focused on Veterinary Equine Medical Research (9 papers), Cardiovascular and exercise physiology (5 papers) and Sports Performance and Training (4 papers). M. Kai collaborates with scholars based in Japan and United States. M. Kai's co-authors include Atsushi Hiraga, Hiroshi Egami, Katsuyoshi Kubo, Naoko Hayashi, B. K. Erickson, Yoshiki YAMAYA, Yuji Kurusu, Sadamu Takano, Michio Ogawa and Michio Ogawa and has published in prestigious journals such as Journal of Applied Physiology, Medicine & Science in Sports & Exercise and Surgery.

In The Last Decade

Co-authorship network of co-authors of M. Kai i

Fields of papers citing papers by M. Kai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by M. Kai

Since Specialization
Citations

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