Ryosuke Ishimura

16 total papers · 1.9k total citations
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, South Korea and Australia. Ryosuke Ishimura's co-authors include Masaaki Komatsu, Keiji Tanaka, Satoshi Waguri, Yu‐shin Sou, Shun Kageyama, Masayuki Yamamoto, Myung‐Shik Lee, Yoshinobu Ichimura, Kenji Takagi and Tsunehiro Mizushima 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 Ac... 2013 2026 2017 2021 2013 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ryosuke Ishimura 848 523 212 103 73 8 1.2k
Brent E. Fitzwalter 628 0.7× 610 1.2× 119 0.6× 140 1.4× 86 1.2× 10 953
Séverine Lorin 621 0.7× 526 1.0× 168 0.8× 118 1.1× 57 0.8× 16 1.0k
Sameera Kongara 629 0.7× 769 1.5× 190 0.9× 163 1.6× 61 0.8× 6 1000
Kostoula Troulinaki 754 0.9× 757 1.4× 212 1.0× 86 0.8× 77 1.1× 10 1.4k
Annette Biederbick 534 0.6× 452 0.9× 169 0.8× 58 0.6× 65 0.9× 10 1.0k
Shi-Hao Tan 467 0.6× 491 0.9× 149 0.7× 134 1.3× 48 0.7× 9 939
Hugo A. Acosta-Jaquez 946 1.1× 292 0.6× 153 0.7× 107 1.0× 167 2.3× 9 1.3k
Cyndi R. Morales 807 1.0× 476 0.9× 248 1.2× 103 1.0× 140 1.9× 10 1.3k
J M Vicencio 531 0.6× 573 1.1× 160 0.8× 91 0.9× 107 1.5× 8 922
Wiem Chaabane 606 0.7× 421 0.8× 141 0.7× 105 1.0× 78 1.1× 10 1.2k

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

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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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