Satoko Arakawa

82 total papers · 6.6k total citations
48 papers, 5.2k citations indexed

About

Satoko Arakawa is a scholar working on Epidemiology, Molecular Biology and Cell Biology. According to data from OpenAlex, Satoko Arakawa has authored 48 papers receiving a total of 5.2k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Epidemiology, 21 papers in Molecular Biology and 16 papers in Cell Biology. Recurrent topics in Satoko Arakawa's work include Autophagy in Disease and Therapy (26 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Cellular transport and secretion (6 papers). Satoko Arakawa is often cited by papers focused on Autophagy in Disease and Therapy (26 papers), Endoplasmic Reticulum Stress and Disease (7 papers) and Cellular transport and secretion (6 papers). Satoko Arakawa collaborates with scholars based in Japan, United States and United Kingdom. Satoko Arakawa's co-authors include Shigeomi Shimizu, Toku Kanaseki, Yoshihide Tsujimoto, Hirofumi Yamaguchi, Craig B. Thompson, Noboru Mizushima, Yuya Nishida, Simon Tavaré, Masako Narita and Masashi Narita and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Satoko Arakawa

46 papers receiving 5.2k citations

Hit Papers

Role of Bcl-2 family prot... 2004 2026 2011 2018 2004 2009 2009 2011 2012 250 500 750 1000

Author Peers

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

Author Last Decade Papers Cites
Satoko Arakawa 3.1k 2.7k 974 784 465 48 5.2k
Ryan C. Russell 2.8k 0.9× 3.3k 1.2× 1.3k 1.4× 601 0.8× 670 1.4× 36 5.8k
Chantal Bauvy 3.4k 1.1× 3.2k 1.2× 1.1k 1.1× 545 0.7× 536 1.2× 54 5.7k
Zhongju Zou 3.3k 1.1× 2.5k 0.9× 825 0.8× 606 0.8× 341 0.7× 30 5.1k
Shouqing Luo 3.6k 1.2× 3.3k 1.2× 1.3k 1.4× 798 1.0× 364 0.8× 51 6.4k
Junji Ezaki 3.0k 1.0× 2.2k 0.8× 1.3k 1.4× 1.1k 1.4× 304 0.7× 41 4.8k
Nathan Brady 3.0k 1.0× 3.1k 1.2× 788 0.8× 468 0.6× 613 1.3× 44 5.8k
Paul A. Ney 3.0k 1.0× 4.2k 1.6× 766 0.8× 1.1k 1.3× 483 1.0× 55 6.7k
Zhifen Yang 3.9k 1.3× 2.9k 1.1× 1.5k 1.5× 485 0.6× 502 1.1× 44 6.4k
Francesco Vetrini 3.1k 1.0× 2.5k 0.9× 1.1k 1.2× 972 1.2× 320 0.7× 31 5.3k
Esther Wong 2.8k 0.9× 2.8k 1.0× 1.3k 1.4× 1.3k 1.6× 289 0.6× 48 5.9k

Countries citing papers authored by Satoko Arakawa

Since Specialization
Citations

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

Fields of papers citing papers by Satoko Arakawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Satoko Arakawa

This figure shows the co-authorship network connecting the top 25 collaborators of Satoko Arakawa. A scholar is included among the top collaborators of Satoko Arakawa 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 Satoko Arakawa. Satoko Arakawa 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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