Maiko Kusano

31 papers and 631 indexed citations i.

About

Maiko Kusano is a scholar working on Molecular Biology, Toxicology and Pharmacology. According to data from OpenAlex, Maiko Kusano has authored 31 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Toxicology and 8 papers in Pharmacology. Recurrent topics in Maiko Kusano’s work include Metabolomics and Mass Spectrometry Studies (10 papers), Forensic Toxicology and Drug Analysis (9 papers) and Cannabis and Cannabinoid Research (6 papers). Maiko Kusano is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (10 papers), Forensic Toxicology and Drug Analysis (9 papers) and Cannabis and Cannabinoid Research (6 papers). Maiko Kusano collaborates with scholars based in Japan and United States. Maiko Kusano's co-authors include Kei Zaitsu, Akira Ishii, Hitoshi Tsuchihashi, Kenneth G. Furton, Yumi Hayashi, Yutaka Ebizuka, Junichi Nakajima, Hiroshi Nakayama, Kentaro Taki and Masaaki Shibuya and has published in prestigious journals such as Analytical Chemistry, Cancer and Analytica Chimica Acta.

In The Last Decade

Co-authorship network of co-authors of Maiko Kusano i

Fields of papers citing papers by Maiko Kusano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Maiko Kusano

Since Specialization
Citations

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