Takeshi Noda
- Epidemiology top 0.02%
- Molecular Biology top 0.2%
- Cell Biology top 0.02%
- Physiology top 0.02%
- Physiology top 0.5%
- Co-authors
- Tamotsu YoshimoriYoshinori OhsumiNaonobu FujitaShunsuke KimuraHiroko OmoriNoboru MizushimaNaotada IshiharaMariko Ohsumi
- Topics
- Autophagy in Disease and Therapy (75 papers)Endoplasmic Reticulum Stress and Disease (41 papers)Fusion materials and technologies (31 papers)
- Cited by
- PhysiologyEpidemiologyCell Biology
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Takeshi Noda
185 papers receiving 25.6k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Epidemiology 17.4k
- Molecular Biology 11.1k
- Cell Biology 7.8k
- Physiology 2.9k
- Physiology 2.1k
Countries citing papers authored by Takeshi Noda
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).
Fields of papers citing papers by Takeshi Noda
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.
Co-authorship network of co-authors of Takeshi Noda
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Noda. A scholar is included among the top collaborators of Takeshi Noda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takeshi Noda. Takeshi Noda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 3 | |
| 4 | 8 | |
| 5 | 12 | |
| 6 | 21 | |
| 7 | 62 | |
| 8 | 12 | |
| 9 | 55 | |
| 10 | 9 | |
| 11 | 226 | |
| 12 | 144 | |
| 13 | 122 | |
| 14 | Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune responsebreakdown → | 675 |
| 15 | The Atg16L Complex Specifies the Site of LC3 Lipidation for Membrane Biogenesis in Autophagybreakdown → | 847 |
| 16 | 117 | |
| 17 | 29 | |
| 18 | 51 | |
| 19 | 136 | |
| 20 | 65 |
About Takeshi Noda
Takeshi Noda is a scholar working on Cell Biology, Physiology and Ceramics and Composites, having authored 186 papers that have together received 26.0k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (75 papers), Endoplasmic Reticulum Stress and Disease (41 papers) and Fusion materials and technologies (31 papers). The work is most often cited by research in Physiology (2.9k citations), Epidemiology (17.4k citations) and Cell Biology (7.8k citations). Takeshi Noda has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Tamotsu Yoshimori, Yoshinori Ohsumi, Naonobu Fujita, Shunsuke Kimura, Hiroko Omori, Noboru Mizushima, Naotada Ishihara, Mariko Ohsumi, Akitsugu Yamamoto and Tatsuya Saitoh. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Advanced Materials.
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.