Kazuaki Matoba

19 papers and 613 indexed citations i.

About

Kazuaki Matoba is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Kazuaki Matoba has authored 19 papers receiving a total of 613 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 11 papers in Epidemiology and 6 papers in Cell Biology. Recurrent topics in Kazuaki Matoba’s work include Autophagy in Disease and Therapy (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Peptidase Inhibition and Analysis (3 papers). Kazuaki Matoba is often cited by papers focused on Autophagy in Disease and Therapy (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Peptidase Inhibition and Analysis (3 papers). Kazuaki Matoba collaborates with scholars based in Japan, United States and Mongolia. Kazuaki Matoba's co-authors include Nobuo N. Noda, Hitoshi Nakatogawa, Yoshinori Ohsumi, Hiromi Kirisako, Yuji Sugita, Tetsuya Kotani, Masahide Kikkawa, Norimichi Nomura, So Iwata and Takuma Tsuji and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and Langmuir.

In The Last Decade

Co-authorship network of co-authors of Kazuaki Matoba i

Fields of papers citing papers by Kazuaki Matoba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kazuaki Matoba

Since Specialization
Citations

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