Ayako Sakai

1.9k total citations
81 papers, 1.5k citations indexed

About

Ayako Sakai is a scholar working on Molecular Biology, Cancer Research and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Ayako Sakai has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Cancer Research and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Ayako Sakai's work include Carcinogens and Genotoxicity Assessment (13 papers), Toxic Organic Pollutants Impact (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Ayako Sakai is often cited by papers focused on Carcinogens and Genotoxicity Assessment (13 papers), Toxic Organic Pollutants Impact (5 papers) and Effects and risks of endocrine disrupting chemicals (5 papers). Ayako Sakai collaborates with scholars based in Japan, United States and Italy. Ayako Sakai's co-authors include Hirota Fujiki, Sachiko Okabe, Michael W. Marino, Eisaburo Sueoka, Masaru Suganuma, Noriho Tanaka, Michio Sato, Kiyoshi Sasaki, H Tanaka and N Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

In The Last Decade

Ayako Sakai

76 papers receiving 1.5k citations

Peers

Ayako Sakai
Xi Sun China
Barbara A. Hocevar United States
Fredric J. Burns United States
Richard D. Dyer United States
Cecile M. Krejsa United States
Ayako Sakai
Citations per year, relative to Ayako Sakai Ayako Sakai (= 1×) peers Elena de Blas

Countries citing papers authored by Ayako Sakai

Since Specialization
Citations

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

Fields of papers citing papers by Ayako Sakai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayako Sakai

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

All Works

20 of 20 papers shown
1.
Sakai, Ayako, Diego Luís Ribeiro, Mário Sérgio Mantovani, et al.. (2025). miR-25-3p Modulates Tumor Aggressiveness and Ferroptosis Escape in T24 Bladder Cancer Cells In Vitro. Pharmaceuticals. 18(9). 1382–1382.
2.
Sakai, Ayako, et al.. (2024). Budding and regeneration potential of a calyx of a freshwater Kamptozoan, Urnatella gracilis. Journal of Experimental Zoology Part A Ecological and Integrative Physiology. 341(5). 578–586.
3.
Kimura, Mitsuhiro, Ayako Sakai, Tetsushi Sakuma, et al.. (2024). Direct protein delivery into intact Arabidopsis cells for genome engineering. Scientific Reports. 14(1). 22568–22568.
4.
Sakai, Ayako, et al.. (2020). Bioluminescent imaging of Arabidopsis thaliana using an enhanced Nano-lantern luminescence reporter system. PLoS ONE. 15(1). e0227477–e0227477. 20 indexed citations
5.
Sasaki, Kiyoshi, Makoto Umeda, Ayako Sakai, Shojiro Yamazaki, & Noriho Tanaka. (2015). Transformation Assay in Bhas 42 Cells: A Model Using Initiated Cells to Study Mechanisms of Carcinogenesis and Predict Carcinogenic Potential of Chemicals. Journal of Environmental Science and Health Part C. 33(1). 1–35. 21 indexed citations
7.
Sasaki, Kiyoshi, Kumiko Hayashi, Pascal Phrakonkham, et al.. (2011). Recommended protocol for the BALB/c 3T3 cell transformation assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 744(1). 30–35. 30 indexed citations
8.
Ebihara, Kenji, et al.. (2011). Triphasic Mitral Inflow Documented by Doppler Echocardiography and Cardiac Catheterization: A Case Study. Internal Medicine. 50(6). 581–584. 5 indexed citations
9.
Yamamoto, Noriaki, Takahiro Nakayama, Masahiro Kajita, et al.. (2011). Detection of aberrant promoter methylation of GSTP1, RASSF1A, and RARβ2 in serum DNA of patients with breast cancer by a newly established one-step methylation-specific PCR assay. Breast Cancer Research and Treatment. 132(1). 165–173. 72 indexed citations
10.
Tanaka, Noriho, Jessica Ponti, Albrecht Poth, et al.. (2011). Prevalidation study of the BALB/c 3T3 cell transformation assay for assessment of carcinogenic potential of chemicals. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 744(1). 20–29. 28 indexed citations
11.
Sakai, Ayako, Kiyoshi Sasaki, Sachiko Kuroda, et al.. (2010). A Bhas 42 cell transformation assay on 98 chemicals: The characteristics and performance for the prediction of chemical carcinogenicity. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 702(1). 100–122. 39 indexed citations
12.
Misumi, Ikuo, et al.. (2010). Coronary spasm as a cause of takotsubo cardiomyopathy and intraventricular obstruction. Journal of Cardiology Cases. 2(2). e83–e87. 6 indexed citations
13.
Tanaka, Noriho, Kiyoshi Sasaki, Kumiko Hayashi, et al.. (2009). An Interlaboratory Collaborative Study on a Cell Transformation Assay Using Bhas 42 Cells. 14(1). 831–848. 6 indexed citations
14.
Sasaki, Kiyoshi, et al.. (2009). Comparison of sensitivity to arsenic compounds between a Bhas 42 cell transformation assay and a BALB/c 3T3 cell transformation assay. Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 675(1-2). 66–70. 11 indexed citations
15.
Sakai, Ayako & Reiko Teshima. (2001). 2,5-Di-tert-butyl-1,4-hydroquinone enhances cell transformation accompanied by an increase in intracellular free calcium ion concentration. Cancer Letters. 168(2). 183–190. 13 indexed citations
16.
Sakai, Ayako, Chieko Saito, Noriko Inada, & Tsuneyoshi Kuroiwa. (1998). Transcriptional Activities of the Chloroplast-Nuclei and Proplastid-Nuclei Isolated from Tobacco Exhibit Different Sensitivities to Tagetitoxin: Implication of the Presence of Distinct RNA Polymerases. Plant and Cell Physiology. 39(9). 928–934. 20 indexed citations
18.
Sakai, Ayako, Naoki Miyata, & Atsushi Takahashi. (1990). Initiating activity of 3-tert-butyl-4-hydroxyanisole (3-BHA) and its metabolites in two-stage transformation of BALB/3T3 cells. Carcinogenesis. 11(11). 1985–1988. 11 indexed citations
19.
Dowjat, W. K., Ya Cao, Kunio Nagashima, Ayako Sakai, & Nancy H. Colburn. (1988). Comparison of P+ ‐active and ‐inactive pro‐1 homologues from human nasopharyngeal carcinoma cells. Molecular Carcinogenesis. 1(1). 33–40. 2 indexed citations
20.
Sakai, Ayako, Kunie Yoshikawa, Hiroshi Kurata, & Akio TANIMURA. (1978). Studies on N-nitroso derivatives of N-methylcarbamate insecticides. III. Mutagenicity of N-nitroso derivatives of 3-methylphenyl N-methylcarbamate, 3,4-dimethylphenyl N-methylcarbamate and naphthyl N-methylcarbamate for Salmonella typhimurium.:Mutagenicity of N -Nitroso Derivatives of 3-Methylphenyl N -Methylcarbamate, 3, 4-Dimethylphenyl N -Methylcarbamate and Naphthyl N -Methylcarbamate. 19(1). 122–125. 1 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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