Eisuke Itakura

15.3k total citations · 4 hit papers
41 papers, 5.4k citations indexed

About

Eisuke Itakura is a scholar working on Epidemiology, Cell Biology and Molecular Biology. According to data from OpenAlex, Eisuke Itakura has authored 41 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Epidemiology, 21 papers in Cell Biology and 20 papers in Molecular Biology. Recurrent topics in Eisuke Itakura's work include Autophagy in Disease and Therapy (21 papers), Cellular transport and secretion (13 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). Eisuke Itakura is often cited by papers focused on Autophagy in Disease and Therapy (21 papers), Cellular transport and secretion (13 papers) and Endoplasmic Reticulum Stress and Disease (10 papers). Eisuke Itakura collaborates with scholars based in Japan, United States and United Kingdom. Eisuke Itakura's co-authors include Noboru Mizushima, Chieko Kishi‐Itakura, Kinji Inoue, Chieko Kishi, Ikuko Koyama‐Honda, Mayurbhai H. Sahani, Ramanujan S. Hegde, Yuriko Sakamaki, Tohru Natsume and Peidu Jiang and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Eisuke Itakura

39 papers receiving 5.4k citations

Hit Papers

The Hairpin-type Tail-Anchored SNARE Syntaxin 17 Targets ... 2008 2026 2014 2020 2012 2008 2010 2014 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eisuke Itakura Japan 24 4.0k 2.3k 1.9k 845 698 41 5.4k
Elena Shvets Israel 18 3.5k 0.9× 2.4k 1.0× 1.5k 0.8× 622 0.7× 583 0.8× 20 5.0k
Serhiy Pankiv Norway 15 4.3k 1.1× 2.9k 1.3× 1.5k 0.8× 595 0.7× 711 1.0× 18 5.9k
David G. McEwan United Kingdom 20 4.1k 1.0× 3.0k 1.3× 1.6k 0.8× 696 0.8× 589 0.8× 27 5.8k
Akiko Kuma Japan 21 4.4k 1.1× 2.7k 1.2× 1.3k 0.7× 628 0.7× 584 0.8× 28 5.9k
Yukiko Kabeya Japan 17 3.8k 1.0× 2.3k 1.0× 1.6k 0.8× 561 0.7× 447 0.6× 21 4.9k
Christian Behrends Germany 36 3.1k 0.8× 3.3k 1.4× 1.9k 1.0× 695 0.8× 705 1.0× 85 6.1k
Maho Hamasaki Japan 23 3.0k 0.8× 2.5k 1.1× 1.5k 0.8× 581 0.7× 648 0.9× 41 4.9k
Zhifen Yang China 19 3.9k 1.0× 2.9k 1.3× 1.5k 0.8× 559 0.7× 487 0.7× 46 6.5k
Maurizio Renna United Kingdom 30 3.5k 0.9× 2.4k 1.1× 1.6k 0.9× 608 0.7× 794 1.1× 55 5.7k
Heidi Outzen Norway 6 5.0k 1.2× 3.5k 1.5× 1.6k 0.9× 649 0.8× 718 1.0× 7 6.9k

Countries citing papers authored by Eisuke Itakura

Since Specialization
Citations

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

Fields of papers citing papers by Eisuke Itakura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eisuke Itakura

This figure shows the co-authorship network connecting the top 25 collaborators of Eisuke Itakura. A scholar is included among the top collaborators of Eisuke Itakura 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 Eisuke Itakura. Eisuke Itakura 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.
Sasazawa, Yukiko, Mitsuhiro Kitagawa, Hideyuki Saya, et al.. (2024). Novel autophagy inducers by accelerating lysosomal clustering against Parkinson’s disease. eLife. 13. 9 indexed citations
3.
Matsuura, Akira, et al.. (2023). Alpha 2-macroglobulin acts as a clearance factor in the lysosomal degradation of extracellular misfolded proteins. Scientific Reports. 13(1). 4680–4680. 6 indexed citations
4.
Maeyashiki, Chiaki, Yoichi Nibe, Akiko Tamura, et al.. (2020). Receptor‐Interacting Protein Kinase 3 (RIPK3) inhibits autophagic flux during necroptosis in intestinal epithelial cells. FEBS Letters. 594(10). 1586–1595. 10 indexed citations
5.
Chen, Changchun, Eisuke Itakura, Geoffrey M. Nelson, et al.. (2017). IL-17 is a neuromodulator of Caenorhabditis elegans sensory responses. Nature. 542(7639). 43–48. 92 indexed citations
6.
Yoshii, Saori R., Akiko Kuma, Takumi Akashi, et al.. (2016). Systemic Analysis of Atg5-Null Mice Rescued from Neonatal Lethality by Transgenic ATG5 Expression in Neurons. Developmental Cell. 39(1). 116–130. 100 indexed citations
7.
Itakura, Eisuke, Eszter Zavodszky, Sichen Shao, et al.. (2016). Ubiquilins Chaperone and Triage Mitochondrial Membrane Proteins for Degradation. Molecular Cell. 63(1). 21–33. 198 indexed citations
8.
Ogasawara, Yuta, Eisuke Itakura, Nozomu Kono, et al.. (2014). Stearoyl-CoA Desaturase 1 Activity Is Required for Autophagosome Formation. Journal of Biological Chemistry. 289(34). 23938–23950. 56 indexed citations
9.
Kishi‐Itakura, Chieko, Ikuko Koyama‐Honda, Eisuke Itakura, & Noboru Mizushima. (2014). Ultrastructural analysis of autophagosome organization using mammalian autophagy-deficient cells. Journal of Cell Science. 127(Pt 18). 4089–102. 189 indexed citations
10.
Jiang, Peidu, Taki Nishimura, Yuriko Sakamaki, et al.. (2014). The HOPS complex mediates autophagosome–lysosome fusion through interaction with syntaxin 17. Molecular Biology of the Cell. 25(8). 1327–1337. 379 indexed citations breakdown →
11.
Sahani, Mayurbhai H., Eisuke Itakura, & Noboru Mizushima. (2014). Expression of the autophagy substrate SQSTM1/p62 is restored during prolonged starvation depending on transcriptional upregulation and autophagy-derived amino acids. Autophagy. 10(3). 431–441. 297 indexed citations
12.
Chen, Changchun, et al.. (2014). An ER Complex of ODR-4 and ODR-8/Ufm1 Specific Protease 2 Promotes GPCR Maturation by a Ufm1-Independent Mechanism. PLoS Genetics. 10(3). e1004082–e1004082. 43 indexed citations
13.
Itakura, Eisuke & Noboru Mizushima. (2013). Syntaxin 17. Autophagy. 9(6). 917–919. 67 indexed citations
14.
Koyama‐Honda, Ikuko, Eisuke Itakura, Takahiro Fujiwara, & Noboru Mizushima. (2013). Temporal analysis of recruitment of mammalian ATG proteins to the autophagosome formation site. Autophagy. 9(10). 1491–1499. 177 indexed citations
15.
Itakura, Eisuke, et al.. (2012). Differentiation capacity of native pituitary folliculostellate cells and brain astrocytes. Journal of Endocrinology. 213(3). 231–237. 17 indexed citations
16.
Itakura, Eisuke, Chieko Kishi‐Itakura, & Noboru Mizushima. (2012). The Hairpin-type Tail-Anchored SNARE Syntaxin 17 Targets to Autophagosomes for Fusion with Endosomes/Lysosomes. Cell. 151(6). 1256–1269. 994 indexed citations breakdown →
17.
Itakura, Eisuke & Noboru Mizushima. (2010). Characterization of autophagosome formation site by a hierarchical analysis of mammalian Atg proteins. Autophagy. 6(6). 764–776. 659 indexed citations breakdown →
18.
Itakura, Eisuke, Chieko Kishi, Kinji Inoue, & Noboru Mizushima. (2008). Beclin 1 Forms Two Distinct Phosphatidylinositol 3-Kinase Complexes with Mammalian Atg14 and UVRAG. Molecular Biology of the Cell. 19(12). 5360–5372. 919 indexed citations breakdown →
19.
20.
Itakura, Eisuke, Isao Sawada, & Akira Matsuura. (2005). Dimerization of the ATRIP Protein through the Coiled-Coil Motif and Its Implication to the Maintenance of Stalled Replication Forks. Molecular Biology of the Cell. 16(12). 5551–5562. 31 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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