Ryu Okada

554 total citations
12 papers, 439 citations indexed

About

Ryu Okada is a scholar working on Endocrinology, Molecular Biology and Genetics. According to data from OpenAlex, Ryu Okada has authored 12 papers receiving a total of 439 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Endocrinology, 4 papers in Molecular Biology and 4 papers in Genetics. Recurrent topics in Ryu Okada's work include Vibrio bacteria research studies (5 papers), Aquaculture disease management and microbiota (4 papers) and Escherichia coli research studies (3 papers). Ryu Okada is often cited by papers focused on Vibrio bacteria research studies (5 papers), Aquaculture disease management and microbiota (4 papers) and Escherichia coli research studies (3 papers). Ryu Okada collaborates with scholars based in Japan, United States and China. Ryu Okada's co-authors include Ryuji Yokokawa, Yuji Nashimoto, Takashi Miura, Koichi Nishiyama, Sanshiro Hanada, Yuichiro Arima, Tetsuya Iida, Shigeaki Matsuda, Toshio Kodama and Hirotaka Hiyoshi and has published in prestigious journals such as ACS Nano, PLoS ONE and Biomaterials.

In The Last Decade

Ryu Okada

12 papers receiving 435 citations

Peers

Ryu Okada

BE

ONCOL

MB

ENDOC

IMMUN

Joseph Dukes United Kingdom

Gayatri Mukherjee India

Jackson P. Fatherree United States

Gaëlle Le'Negrate France

Valerie Malardé France

Candice R. Gurbatri United States

Eric Cheng United States

Eun-Mi Lee South Korea

Christopher Plescia United States

Wenjia Liu China

Joseph Dukes United Kingdom

Ryu Okada

50 ×0.2

BE

151 ×1.3

ONCOL

238 ×2.0

MB

22 ×0.2

ENDOC

145 ×1.6

IMMUN

Citations per year, relative to Ryu Okada Ryu Okada (= 1×) peers Joseph Dukes

Countries citing papers authored by Ryu Okada

Since Specialization

Citations

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

Fields of papers citing papers by Ryu Okada

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryu Okada

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

All Works

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12 of 12 papers shown

1.

Sato, Kazuhide, Tomoko Okada, Ryu Okada, et al.. (2025). Photoinduced Actin Aggregation Involves Cell Death: A Mechanism of Cancer Cell Cytotoxicity after Near-Infrared Photoimmunotherapy. ACS Nano. 19(8). 8338–8356. 1 indexed citations

2.

Tanaka, Miwa, et al.. (2022). Three-dimensional tissue model in direct contact with an on-chip vascular bed enabled by removable membranes. Lab on a Chip. 22(3). 641–651. 17 indexed citations

3.

Okada, Ryu, Yuriko Higuchi, Naoko Komura, et al.. (2022). Disposition of E-selectin-targeting liposomes in tumor spheroids with a perfusable vascular network. Drug Metabolism and Pharmacokinetics. 47. 100469–100469. 4 indexed citations

4.

Nashimoto, Yuji, Ryu Okada, Sanshiro Hanada, et al.. (2019). Vascularized cancer on a chip: The effect of perfusion on growth and drug delivery of tumor spheroid. Biomaterials. 229. 119547–119547. 257 indexed citations

5.

Matsuda, Shigeaki, Ryu Okada, Sarunporn Tandhavanant, et al.. (2019). Export of a Vibrio parahaemolyticus toxin by the Sec and type III secretion machineries in tandem. Nature Microbiology. 4(5). 781–788. 40 indexed citations

6.

Okada, Ryu, Shigeaki Matsuda, & Tetsuya Iida. (2017). Vibrio parahaemolyticus VtrA is a membrane-bound regulator and is activated via oligomerization. PLoS ONE. 12(11). e0187846–e0187846. 11 indexed citations

7.

Okada, Ryu, et al.. (2017). Expression Profile of NOTCH3 in Mouse Spermatogonia. Cells Tissues Organs. 204(5-6). 283–292. 8 indexed citations

8.

Hu, Dong‐Liang, et al.. (2017). Biological characteristics of staphylococcal enterotoxin Q and its potential risk for food poisoning. Journal of Applied Microbiology. 122(6). 1672–1679. 25 indexed citations

9.

Okada, Ryu, Taro Hara, Tomomi Sato, Nobuhiko Kojima, & Yukio Nishina. (2016). The mechanism and control of Jagged1 expression in Sertoli cells. Regenerative Therapy. 3. 75–81. 5 indexed citations

10.

Hiyoshi, Hirotaka, Ryu Okada, Shigeaki Matsuda, et al.. (2015). Interaction between the Type III Effector VopO and GEF-H1 Activates the RhoA-ROCK Pathway. PLoS Pathogens. 11(3). e1004694–e1004694. 22 indexed citations

11.

Kodama, Toshio, Hirotaka Hiyoshi, Ryu Okada, et al.. (2014). Regulation ofVibrio parahaemolyticus T3SS2 gene expression and function of T3SS2 effectors that modulate actin cytoskeleton. Cellular Microbiology. 17(2). 183–190. 18 indexed citations

12.

Okada, Ryu, Xiaohui Zhou, Hirotaka Hiyoshi, et al.. (2013). TheVibrio parahaemolyticuseffector VopC mediates Cdc42-dependent invasion of cultured cells but is not required for pathogenicity in an animal model of infection. Cellular Microbiology. 16(6). 938–947. 31 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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