Mai Hazekawa

46 papers and 884 indexed citations i.

About

Mai Hazekawa is a scholar working on Molecular Biology, Nutrition and Dietetics and Biomedical Engineering. According to data from OpenAlex, Mai Hazekawa has authored 46 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 10 papers in Nutrition and Dietetics and 9 papers in Biomedical Engineering. Recurrent topics in Mai Hazekawa’s work include Biochemical Analysis and Sensing Techniques (10 papers), Advanced Chemical Sensor Technologies (7 papers) and Cannabis and Cannabinoid Research (6 papers). Mai Hazekawa is often cited by papers focused on Biochemical Analysis and Sensing Techniques (10 papers), Advanced Chemical Sensor Technologies (7 papers) and Cannabis and Cannabinoid Research (6 papers). Mai Hazekawa collaborates with scholars based in Japan, New Zealand and Singapore. Mai Hazekawa's co-authors include Michihiro Fujiwara, Kazuhide Hayakawa, Nobuaki Egashira, Kenichi Mishima, Takahiro Uchida, Miyako Yoshida, Katsunori Iwasaki, Kensuke Orito, Masayuki Fujioka and Masanori Nozako and has published in prestigious journals such as Stroke, Brain Research and Scientific Reports.

In The Last Decade

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

Fields of papers citing papers by Mai Hazekawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Mai Hazekawa

Since Specialization
Citations

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