Akio Tsuru

1.8k total citations
19 papers, 1.4k citations indexed

About

Akio Tsuru is a scholar working on Molecular Biology, Cell Biology and Epidemiology. According to data from OpenAlex, Akio Tsuru has authored 19 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 14 papers in Cell Biology and 3 papers in Epidemiology. Recurrent topics in Akio Tsuru's work include Endoplasmic Reticulum Stress and Disease (12 papers), RNA regulation and disease (4 papers) and Heat shock proteins research (4 papers). Akio Tsuru is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (12 papers), RNA regulation and disease (4 papers) and Heat shock proteins research (4 papers). Akio Tsuru collaborates with scholars based in Japan, United Kingdom and United States. Akio Tsuru's co-authors include Kenji Kohno, Yukio Kimata, Michiko Saito, Takao Iwawaki, Akira Hosoda, Katsutomo Okamura, H. Higashio, Choji Taya, Eisuke Mekada and Yoshiaki Inui and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Akio Tsuru

18 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Akio Tsuru Japan 12 824 690 370 275 207 19 1.4k
Yukako Oda Japan 13 818 1.0× 913 1.3× 298 0.8× 252 0.9× 126 0.6× 16 1.6k
Javier Bordallo Spain 13 1.1k 1.3× 1.1k 1.6× 537 1.5× 200 0.7× 114 0.6× 35 1.8k
Edward L. McEwen United States 11 973 1.2× 1.1k 1.6× 422 1.1× 121 0.4× 309 1.5× 17 1.8k
Caterina Valetti Italy 13 707 0.9× 668 1.0× 94 0.3× 227 0.8× 76 0.4× 14 1.1k
Koichi Miki Japan 13 352 0.4× 528 0.8× 160 0.4× 145 0.5× 200 1.0× 52 1.3k
Emanuel Berger Germany 13 241 0.3× 761 1.1× 160 0.4× 131 0.5× 112 0.5× 15 1.3k
Stefano Vavassori Switzerland 17 349 0.4× 470 0.7× 124 0.3× 430 1.6× 69 0.3× 34 1.2k
Fumi Kano Japan 25 732 0.9× 1.3k 1.9× 198 0.5× 104 0.4× 265 1.3× 57 1.9k
Eileithyia Swanton United Kingdom 19 356 0.4× 640 0.9× 112 0.3× 168 0.6× 74 0.4× 26 979
Carmela Sidrauski United States 15 2.0k 2.4× 2.3k 3.4× 733 2.0× 325 1.2× 243 1.2× 22 3.4k

Countries citing papers authored by Akio Tsuru

Since Specialization
Citations

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

Fields of papers citing papers by Akio Tsuru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Akio Tsuru

This figure shows the co-authorship network connecting the top 25 collaborators of Akio Tsuru. A scholar is included among the top collaborators of Akio Tsuru 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 Akio Tsuru. Akio Tsuru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Yanagitani, Kota, et al.. (2023). Signal sequence-triage is activated by translocon obstruction sensed by an ER stress sensor IRE1α. Cell Structure and Function. 48(2). 211–221.
2.
Nakamura, Orie, Michiko Saito, Akio Tsuru, et al.. (2018). Identification of the physiological substrates of PDIp, a pancreas-specific protein-disulfide isomerase family member. Journal of Biological Chemistry. 293(48). 18421–18433. 12 indexed citations
3.
Tsuru, Akio, et al.. (2016). Novel mechanism of enhancing IRE1α-XBP1 signalling via the PERK-ATF4 pathway. Scientific Reports. 6(1). 24217–24217. 105 indexed citations
4.
Tsuru, Akio, Naoko Fujimoto, Michiko Saito, et al.. (2013). Negative feedback by IRE1β optimizes mucin production in goblet cells. Proceedings of the National Academy of Sciences. 110(8). 2864–2869. 133 indexed citations
5.
Kadokura, Hiroshi, Michiko Saito, Akio Tsuru, et al.. (2013). Identification of the redox partners of ERdj5/JPDI, a PDI family member, from an animal tissue. Biochemical and Biophysical Research Communications. 440(2). 245–250. 13 indexed citations
6.
Sopha, Pattarawut, Hiroshi Kadokura, Masato Takeuchi, et al.. (2012). A Novel Mammalian ER-located J-protein, DNAJB14, Can Accelerate ERAD of Misfolded Membrane Proteins. Cell Structure and Function. 37(2). 177–187. 31 indexed citations
7.
Tsuru, Akio, et al.. (2010). Mammalian ER stress sensor IRE1β specifically down-regulates the synthesis of secretory pathway proteins. FEBS Letters. 585(1). 133–138. 38 indexed citations
8.
Imagawa, Yusuke, et al.. (2008). RNase domains determine the functional difference between IRE1α and IRE1β. FEBS Letters. 582(5). 656–660. 60 indexed citations
9.
Hosoda, Akira, Yukio Kimata, Akio Tsuru, & Kenji Kohno. (2003). JPDI, a Novel Endoplasmic Reticulum-resident Protein Containing Both a BiP-interacting J-domain and Thioredoxin-like Motifs. Journal of Biological Chemistry. 278(4). 2669–2676. 82 indexed citations
10.
Saito, Michiko, Takao Iwawaki, Choji Taya, et al.. (2001). Diphtheria toxin receptor–mediated conditional and targeted cell ablation in transgenic mice. Nature Biotechnology. 19(8). 746–750. 382 indexed citations
11.
Iwawaki, Takao, et al.. (2001). Translational control by the ER transmembrane kinase/ribonuclease IRE1 under ER stress. Nature Cell Biology. 3(2). 158–164. 245 indexed citations
12.
Okamura, Katsutomo, Yukio Kimata, H. Higashio, Akio Tsuru, & Kenji Kohno. (2000). Dissociation of Kar2p/BiP from an ER Sensory Molecule, Ire1p, Triggers the Unfolded Protein Response in Yeast. Biochemical and Biophysical Research Communications. 279(2). 445–450. 238 indexed citations
13.
Kimata, Yukio, et al.. (2000). Identification of a novel mammalian endoplasmic reticulum-resident KDEL protein using an EST database motif search. Gene. 261(2). 321–327. 10 indexed citations
14.
Kimata, Yukio, et al.. (1997). [Nuclear transport visualized by protein tagging systems including GFP].. PubMed. 42(7 Suppl). 1187–92. 1 indexed citations
15.
Tsuru, Akio, et al.. (1992). Purification and characterization of a vimentin‐specific protease in mouse myeloid leukemia cells. European Journal of Biochemistry. 205(3). 947–954. 8 indexed citations
16.
Michishita, M, Kazunori Hirayoshi, Akio Tsuru, et al.. (1991). Effects of type-β1 transforming growth factor on the proliferation and differentiation of mouse myelomonocytic leukemia cells (M1). Experimental Cell Research. 196(1). 107–113. 8 indexed citations
17.
Hirayoshi, Kazunori, Akio Tsuru, Michiaki Yamashita, et al.. (1991). Both D factor/LIF and IL‐6 inhibit the differentation of mouse teratocarcinoma F9 cells. FEBS Letters. 282(2). 401–404. 9 indexed citations
18.
Tsuru, Akio, Nobuhiro Nakamura, Eiji Takayama, et al.. (1990). Regulation of the expression of vimentin gene during the differentiation of mouse myeloid leukemia cells.. The Journal of Cell Biology. 110(5). 1655–1664. 22 indexed citations
19.
Yamaguchi, Toshio, Akio Tsuru, & Hiroshi Washio. (1987). l-glutamate and potassium-induced contractures in denervated cockroach muscles. Comparative Biochemistry and Physiology Part C Comparative Pharmacology. 87(2). 401–407. 2 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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