Ryosuke Ishimura

1.9k total citations · 1 hit paper
8 papers, 1.2k citations indexed

About

Ryosuke Ishimura is a scholar working on Molecular Biology, Epidemiology and Genetics. According to data from OpenAlex, Ryosuke Ishimura has authored 8 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Genetics. Recurrent topics in Ryosuke Ishimura's work include Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Ryosuke Ishimura is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), Ubiquitin and proteasome pathways (4 papers) and Genetics and Neurodevelopmental Disorders (3 papers). Ryosuke Ishimura collaborates with scholars based in Japan, Australia and South Korea. Ryosuke Ishimura's co-authors include Masaaki Komatsu, Keiji Tanaka, Satoshi Waguri, Shun Kageyama, Myung‐Shik Lee, Yu‐shin Sou, Masayuki Yamamoto, Atsushi Hirao, Takayuki Hoshii and Tetsuya Saito and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Ryosuke Ishimura

8 papers receiving 1.2k citations

Hit Papers

Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway d... 2013 2026 2017 2021 2013 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
Ryosuke Ishimura Japan 7 855 531 218 103 74 8 1.2k
Séverine Lorin France 12 624 0.7× 528 1.0× 168 0.8× 118 1.1× 58 0.8× 16 1.0k
Cixiong Zhang China 12 627 0.7× 334 0.6× 119 0.5× 126 1.2× 60 0.8× 14 933
Jin Yan China 16 555 0.6× 319 0.6× 135 0.6× 163 1.6× 100 1.4× 34 968
Wei‐Xing Zong United States 13 516 0.6× 660 1.2× 220 1.0× 143 1.4× 163 2.2× 15 1.1k
Katie R. Martin United States 19 478 0.6× 311 0.6× 122 0.6× 102 1.0× 93 1.3× 34 1.0k
Insook Jang United States 16 821 1.0× 426 0.8× 357 1.6× 82 0.8× 235 3.2× 19 1.4k
Shiori Sekine United States 16 957 1.1× 569 1.1× 171 0.8× 79 0.8× 57 0.8× 25 1.3k
Raffaella Iurlaro Spain 8 718 0.8× 336 0.6× 498 2.3× 254 2.5× 152 2.1× 10 1.3k
Hyeon‐Cheol Lee Japan 17 498 0.6× 235 0.4× 157 0.7× 67 0.7× 39 0.5× 40 970

Countries citing papers authored by Ryosuke Ishimura

Since Specialization
Citations

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

Fields of papers citing papers by Ryosuke Ishimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryosuke Ishimura

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

All Works

8 of 8 papers shown
1.
Ishimura, Ryosuke, et al.. (2023). Mechanistic insights into the roles of the UFM1 E3 ligase complex in ufmylation and ribosome-associated protein quality control. Science Advances. 9(33). eadh3635–eadh3635. 27 indexed citations
2.
Ishimura, Ryosuke, Daisuke Noshiro, Yasuko Ono, et al.. (2022). The UFM1 system regulates ER-phagy through the ufmylation of CYB5R3. Nature Communications. 13(1). 7857–7857. 50 indexed citations
3.
Briere, Lauren C., Melissa Walker, Frances A. High, et al.. (2021). A description of novel variants and review of phenotypic spectrum in UBA5-related early epileptic encephalopathy. Molecular Case Studies. 7(3). a005827–a005827. 15 indexed citations
4.
Sakai, Shunsuke, Atsushi Hasegawa, Ryosuke Ishimura, et al.. (2021). Loss of Atg2b and Gskip Impairs the Maintenance of the Hematopoietic Stem Cell Pool Size. Molecular and Cellular Biology. 42(1). e0002421–e0002421. 5 indexed citations
5.
Cabrera‐Serrano, Macarena, David Coote, Dimitar N. Azmanov, et al.. (2020). A homozygous UBA5 pathogenic variant causes a fatal congenital neuropathy. Journal of Medical Genetics. 57(12). 835–842. 19 indexed citations
6.
Ishimura, Ryosuke, Keiji Tanaka, & Masaaki Komatsu. (2014). Dissection of the role of p62/Sqstm1 in activation of Nrf2 during xenophagy. FEBS Letters. 588(5). 822–828. 63 indexed citations
7.
Kageyama, Shun, Yu‐shin Sou, Takefumi Uemura, et al.. (2014). Proteasome Dysfunction Activates Autophagy and the Keap1-Nrf2 Pathway. Journal of Biological Chemistry. 289(36). 24944–24955. 95 indexed citations
8.
Ichimura, Yoshinobu, Satoshi Waguri, Yu‐shin Sou, et al.. (2013). Phosphorylation of p62 Activates the Keap1-Nrf2 Pathway during Selective Autophagy. Molecular Cell. 51(5). 618–631. 950 indexed citations breakdown →

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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