Ryoko Akai

1.3k total citations · 1 hit paper
14 papers, 986 citations indexed

About

Ryoko Akai is a scholar working on Cell Biology, Molecular Biology and Epidemiology. According to data from OpenAlex, Ryoko Akai has authored 14 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 8 papers in Molecular Biology and 4 papers in Epidemiology. Recurrent topics in Ryoko Akai's work include Endoplasmic Reticulum Stress and Disease (9 papers), Autophagy in Disease and Therapy (4 papers) and RNA regulation and disease (3 papers). Ryoko Akai is often cited by papers focused on Endoplasmic Reticulum Stress and Disease (9 papers), Autophagy in Disease and Therapy (4 papers) and RNA regulation and disease (3 papers). Ryoko Akai collaborates with scholars based in Japan and United States. Ryoko Akai's co-authors include Takao Iwawaki, Kenji Kohno, Masayuki Miura, Shinya Yamanaka, Mio Tokuda, Daisuke Oikawa, Akira Hosoda, Naoki Takeda, Ryosuke Nomura and Tomo‐o Ishikawa and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and PLoS ONE.

In The Last Decade

Ryoko Akai

13 papers receiving 977 citations

Hit Papers

Function of IRE1 alpha in the placenta is essential for p... 2009 2026 2014 2020 2009 50 100 150 200 250

Peers

Ryoko Akai
Shane Deegan Ireland
Chuan Yin Liu United States
Judy K. Cundiff United States
Shane Deegan Ireland
Ryoko Akai
Citations per year, relative to Ryoko Akai Ryoko Akai (= 1×) peers Shane Deegan

Countries citing papers authored by Ryoko Akai

Since Specialization
Citations

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

Fields of papers citing papers by Ryoko Akai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryoko Akai

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

All Works

14 of 14 papers shown
1.
Sekiguchi, Akiko, Mai Ishikawa, Akihiko Uchiyama, et al.. (2025). Rapid thawing enhances tissue destruction in a mouse model of cutaneous cryoablation: Insights into oxidative stress and neutrophil activation. Journal of Dermatological Science. 118(1). 9–17.
3.
Nomura, Ryosuke, Nobumasa Takasugi, Ryoko Akai, et al.. (2021). Spatiotemporal analysis of the UPR transition induced by methylmercury in the mouse brain. Archives of Toxicology. 95(4). 1241–1250. 13 indexed citations
4.
Sekiguchi, Akiko, Sei‐ichiro Motegi, Akihiko Uchiyama, et al.. (2018). Botulinum toxin B suppresses the pressure ulcer formation in cutaneous ischemia-reperfusion injury mouse model: Possible regulation of oxidative and endoplasmic reticulum stress. Journal of Dermatological Science. 90(2). 144–153. 14 indexed citations
5.
Iwawaki, Takao, et al.. (2017). Transgenic mouse model for imaging of ATF4 translational activation-related cellular stress responses in vivo. Scientific Reports. 7(1). 46230–46230. 13 indexed citations
7.
Oikawa, Daisuke, Ryoko Akai, Mio Tokuda, & Takao Iwawaki. (2012). A transgenic mouse model for monitoring oxidative stress. Scientific Reports. 2(1). 229–229. 74 indexed citations
8.
Iwawaki, Takao, Ryoko Akai, & Kenji Kohno. (2010). IRE1α Disruption Causes Histological Abnormality of Exocrine Tissues, Increase of Blood Glucose Level, and Decrease of Serum Immunoglobulin Level. PLoS ONE. 5(9). e13052–e13052. 83 indexed citations
9.
Oikawa, Daisuke, Ryoko Akai, & Takao Iwawaki. (2010). Positive contribution of the IRE1α–XBP1 pathway to placental expression of CEA family genes. FEBS Letters. 584(5). 1066–1070. 5 indexed citations
10.
Hosoda, Akira, Mio Tokuda, Ryoko Akai, Kenji Kohno, & Takao Iwawaki. (2009). Positive contribution of ERdj5/JPDI to endoplasmic reticulum protein quality control in the salivary gland. Biochemical Journal. 425(1). 117–128. 38 indexed citations
11.
Iwawaki, Takao, Ryoko Akai, Shinya Yamanaka, & Kenji Kohno. (2009). Function of IRE1 alpha in the placenta is essential for placental development and embryonic viability. Proceedings of the National Academy of Sciences. 106(39). 16657–16662. 286 indexed citations breakdown →
12.
Iwawaki, Takao & Ryoko Akai. (2006). Analysis of the XBP1 splicing mechanism using endoplasmic reticulum stress-indicators. Biochemical and Biophysical Research Communications. 350(3). 709–715. 56 indexed citations
13.
Akai, Ryoko, Mitsuhiro Kinoshita, Kazuaki Kakehi, & Yuan C. Lee. (2003). A method for detecting O-glycanase in biological samples using a combination of MALDI-TOF mass spectrometry and time-resolved fluorimetry. The Analyst. 128(5). 440–446. 4 indexed citations
14.
Iwawaki, Takao, Ryoko Akai, Kenji Kohno, & Masayuki Miura. (2003). A transgenic mouse model for monitoring endoplasmic reticulum stress. Nature Medicine. 10(1). 98–102. 391 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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