Hideko Sone

1.6k total citations · 1 hit paper
24 papers, 980 citations indexed

About

Hideko Sone is a scholar working on Molecular Biology, Health, Toxicology and Mutagenesis and Polymers and Plastics. According to data from OpenAlex, Hideko Sone has authored 24 papers receiving a total of 980 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Health, Toxicology and Mutagenesis and 4 papers in Polymers and Plastics. Recurrent topics in Hideko Sone's work include Pluripotent Stem Cells Research (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Dendrimers and Hyperbranched Polymers (4 papers). Hideko Sone is often cited by papers focused on Pluripotent Stem Cells Research (7 papers), Effects and risks of endocrine disrupting chemicals (6 papers) and Dendrimers and Hyperbranched Polymers (4 papers). Hideko Sone collaborates with scholars based in Japan, United States and Netherlands. Hideko Sone's co-authors include Andreas Kortenkamp, Linda Rieswijk, Patience Browne, Vincent James Cogliano, Laura N. Vandenberg, Heather B. Patisaul, Lauren Zeise, William H. Goodson, Tracey J. Woodruff and Martyn T. Smith and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and Gene.

In The Last Decade

Hideko Sone

22 papers receiving 969 citations

Hit Papers

Consensus on the key characteristics of endocrine-disrupt... 2019 2026 2021 2023 2019 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hideko Sone Japan 9 545 206 132 107 93 24 980
Kui Lea Park South Korea 20 518 1.0× 228 1.1× 153 1.2× 99 0.9× 92 1.0× 30 1.0k
Catherine S. Mao United States 12 1.0k 1.9× 379 1.8× 215 1.6× 171 1.6× 188 2.0× 20 1.6k
Karolina Nowak Poland 15 578 1.1× 140 0.7× 98 0.7× 243 2.3× 59 0.6× 40 1.1k
Cristina Casals‐Casas Switzerland 8 921 1.7× 233 1.1× 91 0.7× 158 1.5× 163 1.8× 9 1.3k
Anne Riu France 19 1.0k 1.9× 286 1.4× 232 1.8× 219 2.0× 51 0.5× 23 1.5k
Nebojša Andrić Serbia 20 389 0.7× 204 1.0× 69 0.5× 129 1.2× 40 0.4× 60 1.1k
Inae Lee South Korea 20 889 1.6× 152 0.7× 107 0.8× 192 1.8× 76 0.8× 51 1.2k
Thierry N’Tumba-Byn France 8 648 1.2× 170 0.8× 97 0.7× 226 2.1× 55 0.6× 10 906
Tara Lovekamp-Swan United States 9 573 1.1× 167 0.8× 95 0.7× 81 0.8× 72 0.8× 9 871

Countries citing papers authored by Hideko Sone

Since Specialization
Citations

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

Fields of papers citing papers by Hideko Sone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideko Sone

This figure shows the co-authorship network connecting the top 25 collaborators of Hideko Sone. A scholar is included among the top collaborators of Hideko Sone 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 Hideko Sone. Hideko Sone 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
2.
Sone, Hideko, et al.. (2024). Comprehensive Analysis of Drug-Induced Parkinson-like Events. Pharmaceuticals. 17(8). 1099–1099. 2 indexed citations
3.
Qin, Xian‐Yang, Wenlong Wang, Tomohiro Ito, et al.. (2023). iGEM as a human iPS cell-based global epigenetic modulation detection assay provides throughput characterization of chemicals affecting DNA methylation. Scientific Reports. 13(1). 6663–6663. 2 indexed citations
4.
Katsura, Mari, Mika Kobayashi, Akashi Taguchi, et al.. (2023). Low-dose radiation induces unstable gene expression in developing human iPSC-derived retinal ganglion organoids. Scientific Reports. 13(1). 12888–12888. 4 indexed citations
5.
Sone, Hideko, et al.. (2023). Safety assessment of L-Arg oral intake in healthy subjects: a systematic review of randomized control trials. Amino Acids. 55(12). 1949–1964. 2 indexed citations
7.
Yamane, Junko, Mutsumi Suzuki, Shuichi Sekine, et al.. (2022). StemPanTox: A fast and wide-target drug assessment system for tailor-made safety evaluations using personalized iPS cells. iScience. 25(7). 104538–104538. 4 indexed citations
8.
Nishimura, Yuhei, Yasunari Kanda, Hideko Sone, & Hiroaki Aoyama. (2021). Oxidative Stress as a Common Key Event in Developmental Neurotoxicity. Oxidative Medicine and Cellular Longevity. 2021(1). 6685204–6685204. 60 indexed citations
9.
Yu, Jing, et al.. (2021). Molecular profiling of ginsenoside metabolites to identify estrogen receptor alpha activity. Gene. 813. 146108–146108. 2 indexed citations
10.
Merrill, Michele A. La, Laura N. Vandenberg, Martyn T. Smith, et al.. (2019). Consensus on the key characteristics of endocrine-disrupting chemicals as a basis for hazard identification. Nature Reviews Endocrinology. 16(1). 45–57. 615 indexed citations breakdown →
11.
Takahashi, Hiroki, Xian‐Yang Qin, Hideko Sone, & Wataru Fujibuchi. (2018). Stem Cell-Based Methods to Predict Developmental Chemical Toxicity. Methods in molecular biology. 1800. 475–483. 2 indexed citations
12.
Kurokawa, Yoshika, Hideko Sone, Tin‐Tin Win‐Shwe, et al.. (2017). Aggregation is a critical cause of poor transfer into the brain tissue of intravenously administered cationic PAMAM dendrimer nanoparticles. International Journal of Nanomedicine. Volume 12. 3967–3975. 9 indexed citations
13.
Kurokawa, Yoshika, et al.. (2016). Effects of Polyamidoamine Dendrimers on a 3-D Neurosphere System Using Human Neural Progenitor Cells. Toxicological Sciences. 152(1). 128–144. 25 indexed citations
14.
Kurokawa, Yoshika, et al.. (2016). Effects of PAMAM dendrimers with various surface functional groups and multiple generations on cytotoxicity and neuronal differentiation using human neural progenitor cells. The Journal of Toxicological Sciences. 41(3). 351–370. 59 indexed citations
15.
Win‐Shwe, Tin‐Tin, et al.. (2014). Effects of PAMAM dendrimers in the mouse brain after a single intranasal instillation. Toxicology Letters. 228(3). 207–215. 32 indexed citations
17.
Nagano, Reiko, Xian‐Yang Qin, Satoshi Imanishi, et al.. (2011). Multi-Parametric Profiling Network Based on Gene Expression and Phenotype Data: A Novel Approach to Developmental Neurotoxicity Testing. International Journal of Molecular Sciences. 13(1). 187–207. 11 indexed citations
18.
Ikeda, Masahiko, Tetsuo Mitsui, Masashi Tamura, et al.. (2004). In utero and lactational exposure to 2,3,7,8-tetrachlorodibenzo-p-dioxin in rats disrupts brain sexual differentiation. Toxicology and Applied Pharmacology. 205(1). 98–105. 41 indexed citations
19.
Sone, Hideko. (2000). [Endocrine disrupter and reproductive disorders in women].. PubMed. 58(12). 2521–6. 1 indexed citations
20.
Sone, Hideko. (1998). Effects of Endocrine disruptors on mammary gland and genital organ in female.. 46(7). 589–597. 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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