Kazuko Kanno

24 papers and 638 indexed citations i.

About

Kazuko Kanno is a scholar working on Immunology, Cognitive Neuroscience and Epidemiology. According to data from OpenAlex, Kazuko Kanno has authored 24 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 8 papers in Cognitive Neuroscience and 5 papers in Epidemiology. Recurrent topics in Kazuko Kanno’s work include Complement system in diseases (10 papers), Neuroscience and Music Perception (8 papers) and Hearing Loss and Rehabilitation (4 papers). Kazuko Kanno is often cited by papers focused on Complement system in diseases (10 papers), Neuroscience and Music Perception (8 papers) and Hearing Loss and Rehabilitation (4 papers). Kazuko Kanno collaborates with scholars based in Japan, South Korea and United Kingdom. Kazuko Kanno's co-authors include Yuichi Endo, Teizo Fujita, Minoru Takahashi, Daisuke Iwaki, Misao Matsushita, Yumi Ishida, Yu Liu, Yoshimi Homma, Toshiyuki Suzuki and Naoto Ishii and has published in prestigious journals such as The Journal of Experimental Medicine, The Journal of Immunology and Psychopharmacology.

In The Last Decade

Co-authorship network of co-authors of Kazuko Kanno i

Fields of papers citing papers by Kazuko Kanno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuko Kanno

Since Specialization
Citations

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