Takeshi Noda

184 papers and 25.5k indexed citations i.

About

Takeshi Noda is a scholar working on Epidemiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Takeshi Noda has authored 184 papers receiving a total of 25.5k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Epidemiology, 56 papers in Cell Biology and 54 papers in Molecular Biology. Recurrent topics in Takeshi Noda’s work include Autophagy in Disease and Therapy (73 papers), Endoplasmic Reticulum Stress and Disease (42 papers) and Materials Challenges in Fusion Energy Research (31 papers). Takeshi Noda is often cited by papers focused on Autophagy in Disease and Therapy (73 papers), Endoplasmic Reticulum Stress and Disease (42 papers) and Materials Challenges in Fusion Energy Research (31 papers). Takeshi Noda collaborates with scholars based in Japan, United States and China. Takeshi Noda's co-authors include Tamotsu Yoshimori, Yoshinori Ohsumi, Naonobu Fujita, Shunsuke Kimura, Noboru Mizushima, Hiroko Omori, Naotada Ishihara, Mariko Ohsumi, Akitsugu Yamamoto and Tatsuya Saitoh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Co-authorship network of co-authors of Takeshi Noda i

Fields of papers citing papers by Takeshi Noda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Takeshi Noda

Since Specialization
Citations

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