Takeshi Noda

47.1k total citations · 19 hit papers
186 papers, 26.0k citations indexed

About

Takeshi Noda is a scholar working on Epidemiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Takeshi Noda has authored 186 papers receiving a total of 26.0k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Epidemiology, 55 papers in Cell Biology and 54 papers in Molecular Biology. Recurrent topics in Takeshi Noda's work include Autophagy in Disease and Therapy (75 papers), Endoplasmic Reticulum Stress and Disease (41 papers) and Fusion materials and technologies (31 papers). Takeshi Noda is often cited by papers focused on Autophagy in Disease and Therapy (75 papers), Endoplasmic Reticulum Stress and Disease (41 papers) and Fusion materials and technologies (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, Hiroko Omori, Noboru Mizushima, 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 Advanced Materials.

In The Last Decade

Takeshi Noda

185 papers receiving 25.6k citations

Hit Papers

Dissection of the Autopha... 1992 2026 2003 2014 2007 2008 2000 2013 1998 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Dissection of the Autophagosome Maturation Process by a Novel Reporter Protein, Tandem Fluorescent-Tagged LC3
    2007 1.8k citations Shunsuke Kimura, Takeshi Noda et al. Autophagy profile →
  2. Loss of the autophagy protein Atg16L1 enhances endotoxin-induced IL-1β production
    2008 1.7k citations Tatsuya Saitoh, Naonobu Fujita et al. profile →
  3. A ubiquitin-like system mediates protein lipidation
    2000 1.6k citations Takeshi Noda et al. profile →
  4. Autophagosomes form at ER–mitochondria contact sites
    2013 1.4k citations Maho Hamasaki, Akitsugu Yamamoto et al. profile →
  5. A protein conjugation system essential for autophagy
    1998 1.3k citations Takeshi Noda, Tamotsu Yoshimori et al. profile →
  6. Tor, a Phosphatidylinositol Kinase Homologue, Controls Autophagy in Yeast
    1998 1.1k citations Takeshi Noda et al. Journal of Biological Chemistry profile →
  7. Autophagy in yeast demonstrated with proteinase-deficient mutants and conditions for its induction.
    1992 974 citations Takeshi Noda et al. The Journal of Cell Biology profile →
  8. Two Beclin 1-binding proteins, Atg14L and Rubicon, reciprocally regulate autophagy at different stages
    2009 945 citations Kohichi Matsunaga, Tatsuya Saitoh et al. profile →
  9. The Atg16L Complex Specifies the Site of LC3 Lipidation for Membrane Biogenesis in Autophagy
    2008 847 citations Naonobu Fujita, Takashi Itoh et al. Molecular Biology of the Cell profile →
  10. A subdomain of the endoplasmic reticulum forms a cradle for autophagosome formation
    2009 829 citations Mitsuko Hayashi-Nishino, Naonobu Fujita et al. profile →
  11. Two Distinct Vps34 Phosphatidylinositol 3–Kinase Complexes Function in Autophagy and Carboxypeptidase Y Sorting inSaccharomyces cerevisiae
    2001 806 citations Takeshi Noda et al. The Journal of Cell Biology profile →
  12. The Reversible Modification Regulates the Membrane-Binding State of Apg8/Aut7 Essential for Autophagy and the Cytoplasm to Vacuole Targeting Pathway
    2000 755 citations Tamotsu Yoshimori, Takeshi Noda et al. The Journal of Cell Biology profile →
  13. Formation Process of Autophagosome Is Traced with Apg8/Aut7p in Yeast
    1999 723 citations Tamotsu Yoshimori, Takeshi Noda et al. The Journal of Cell Biology profile →
  14. Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune response
    2009 675 citations Tatsuya Saitoh, Naonobu Fujita et al. Proceedings of the National Academy of Sciences profile →
  15. Leaf Senescence and Starvation-Induced Chlorosis Are Accelerated by the Disruption of an Arabidopsis Autophagy Gene
    2002 497 citations Takeshi Noda et al. profile →
  16. Processing of ATG8s, Ubiquitin-Like Proteins, and Their Deconjugation by ATG4s Are Essential for Plant Autophagy
    2004 484 citations Takeshi Noda et al. profile →
  17. Autophagy sequesters damaged lysosomes to control lysosomal biogenesis and kidney injury
    2013 467 citations Hiroko Omori, Tatsuya Saitoh et al. profile →
  18. Apg16p is required for the function of the Apg12p–Apg5p conjugate in the yeast autophagy pathway
    1999 340 citations Takeshi Noda et al. profile →
  19. Novel System for Monitoring Autophagy in the Yeast Saccharomyces cerevisiae
    1995 298 citations Takeshi Noda, Akira Matsuura et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Takeshi Noda Japan 61 17.4k 11.1k 7.8k 2.9k 2.1k 186 26.0k
Ivan Đikić Germany 100 14.5k 0.8× 26.9k 2.4× 8.9k 1.1× 2.1k 0.7× 2.5k 1.2× 292 40.8k
Fulvio Reggiori Netherlands 70 9.2k 0.5× 8.4k 0.8× 6.0k 0.8× 1.7k 0.6× 1.7k 0.8× 189 17.4k
Jun‐Lin Guan United States 78 4.9k 0.3× 13.2k 1.2× 7.3k 0.9× 776 0.3× 1.1k 0.5× 202 24.9k
Vito Türk Slovenia 85 2.3k 0.1× 12.8k 1.1× 3.0k 0.4× 643 0.2× 2.8k 1.3× 424 25.3k
Oliver Kepp France 87 6.3k 0.4× 14.2k 1.3× 3.0k 0.4× 1.8k 0.6× 1.2k 0.5× 276 34.1k
Do‐Hyung Kim South Korea 51 4.6k 0.3× 10.2k 0.9× 2.0k 0.3× 798 0.3× 1.6k 0.8× 295 17.6k
Patrizia Agostinis Belgium 83 4.7k 0.3× 11.0k 1.0× 3.5k 0.5× 966 0.3× 1.0k 0.5× 233 28.1k
Donna B. Stolz United States 94 5.6k 0.3× 15.5k 1.4× 2.7k 0.3× 493 0.2× 2.1k 1.0× 401 31.6k
Hans J. Geuze Netherlands 88 2.7k 0.2× 19.9k 1.8× 8.9k 1.1× 1.6k 0.6× 3.1k 1.5× 183 31.8k
Ira Mellman United States 109 3.3k 0.2× 24.0k 2.2× 11.1k 1.4× 2.1k 0.7× 3.9k 1.8× 268 53.8k

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).

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.

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

20 of 20 papers shown
1.
Noda, Takeshi, et al.. (2024). Capsule-deficient group A Streptococcus evades autophagy-mediated killing in macrophages. mBio. 15(7). e0077124–e0077124. 1 indexed citations
2.
Sakakibara, Shuhei, Hiroko Omori, Daisuke Okuzaki, et al.. (2023). Opposing roles of RUBCN isoforms in autophagy and memory B cell generation. Science Signaling. 16(803). eade3599–eade3599. 3 indexed citations
3.
Araki, Yasuhiro, et al.. (2023). Pib2 is a cysteine sensor involved in TORC1 activation in Saccharomyces cerevisiae. Cell Reports. 43(1). 113599–113599. 6 indexed citations
4.
Chen, Siyu, Yangjie Li, Yoh Wada, et al.. (2023). Characterization of Rab32- and Rab38-positive lysosome-related organelles in osteoclasts and macrophages. Journal of Biological Chemistry. 299(10). 105191–105191. 8 indexed citations
5.
Kira, Shintaro, et al.. (2021). Vacuolar protein Tag1 and Atg1–Atg13 regulate autophagy termination during persistent starvation in S. cerevisiae. Journal of Cell Science. 134(4). 12 indexed citations
6.
Omori, Hiroko, Maho Hamasaki, Tomohisa Hatta, et al.. (2020). ERdj8 governs the size of autophagosomes during the formation process. The Journal of Cell Biology. 219(8). 21 indexed citations
7.
Imai, Kenta, Yasuhiro Araki, Yohei Yamamoto, et al.. (2020). Starvation-induced autophagy via calcium-dependent TFEB dephosphorylation is suppressed by Shigyakusan. PLoS ONE. 15(3). e0230156–e0230156. 8 indexed citations
8.
Iwayama, Tomoaki, Tomoko Okada, Masahide Takedachi, et al.. (2019). Osteoblastic lysosome plays a central role in mineralization. Science Advances. 5(7). eaax0672–eaax0672. 94 indexed citations
9.
Itoh, Takashi, et al.. (2017). Rheb localized on the Golgi membrane activates lysosome-localized mTORC1 at the Golgi–lysosome contact site. Journal of Cell Science. 131(3). 62 indexed citations
10.
Araki, Yasuhiro, Shintaro Kira, & Takeshi Noda. (2016). Quantitative Assay of Macroautophagy Using Pho8△60 Assay and GFP-Cleavage Assay in Yeast. Methods in enzymology on CD-ROM/Methods in enzymology. 588. 307–321. 12 indexed citations
11.
Kira, Shintaro, et al.. (2015). Dynamic relocation of the TORC1–Gtr1/2–Ego1/2/3 complex is regulated by Gtr1 and Gtr2. Molecular Biology of the Cell. 27(2). 382–396. 55 indexed citations
12.
Fujita, Naonobu, Eiji Morita, Takashi Itoh, et al.. (2013). Recruitment of the autophagic machinery to endosomes during infection is mediated by ubiquitin. The Journal of Cell Biology. 203(1). 115–128. 226 indexed citations
13.
Tabata, Keisuke, Mitsuko Hayashi-Nishino, Takeshi Noda, Akitsugu Yamamoto, & Tamotsu Yoshimori. (2012). Morphological Analysis of Autophagy. Methods in molecular biology. 931. 449–466. 8 indexed citations
14.
Kageyama, Shun, Hiroko Omori, Tatsuya Saitoh, et al.. (2011). The LC3 recruitment mechanism is separate from Atg9L1-dependent membrane formation in the autophagic response againstSalmonella. Molecular Biology of the Cell. 22(13). 2290–2300. 144 indexed citations
15.
Itoi, Shiro, et al.. (2010). Distribution and species composition of juvenile and adult scombropids (Teleostei, Scombropidae) in Japanese coastal waters. Journal of Fish Biology. 76(2). 369–378. 10 indexed citations
16.
Saitoh, Tatsuya, Naonobu Fujita, Takuya Hayashi, et al.. (2009). Atg9a controls dsDNA-driven dynamic translocation of STING and the innate immune response. Proceedings of the National Academy of Sciences. 106(49). 20842–20846. 675 indexed citations breakdown →
17.
Fujita, Naonobu, Takashi Itoh, Hiroko Omori, et al.. (2008). The Atg16L Complex Specifies the Site of LC3 Lipidation for Membrane Biogenesis in Autophagy. Molecular Biology of the Cell. 19(5). 2092–2100. 847 indexed citations breakdown →
18.
Noda, Takeshi & Daniel J. Klionsky. (2008). Chapter 3 The Quantitative Pho8Δ60 Assay of Nonspecific Autophagy. Methods in enzymology on CD-ROM/Methods in enzymology. 451. 33–42. 117 indexed citations
19.
Kimura, Shunsuke, Takeshi Noda, & Tamotsu Yoshimori. (2007). Dissection of the Autophagosome Maturation Process by a Novel Reporter Protein, Tandem Fluorescent-Tagged LC3. Autophagy. 3(5). 452–460. 1843 indexed citations breakdown →
20.
Shimizu, Motoki, Tetsuo Yamano, Takeshi Noda, et al.. (1992). Role of gastric glutathione in smoke flavouring-induced gastric injury in rats. Food and Chemical Toxicology. 30(12). 1005–1009. 4 indexed citations

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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