Hitoshi Ashida

10.3k total citations · 2 hit papers
262 papers, 8.5k citations indexed

About

Hitoshi Ashida is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Physiology. According to data from OpenAlex, Hitoshi Ashida has authored 262 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Molecular Biology, 50 papers in Pathology and Forensic Medicine and 49 papers in Physiology. Recurrent topics in Hitoshi Ashida's work include Metabolism, Diabetes, and Cancer (42 papers), Adipose Tissue and Metabolism (36 papers) and Toxic Organic Pollutants Impact (35 papers). Hitoshi Ashida is often cited by papers focused on Metabolism, Diabetes, and Cancer (42 papers), Adipose Tissue and Metabolism (36 papers) and Toxic Organic Pollutants Impact (35 papers). Hitoshi Ashida collaborates with scholars based in Japan, United States and China. Hitoshi Ashida's co-authors include Kazuki Kanazawa, Yoko Yamashita, Shin Nishiumi, Itsuko Fukuda, Ken‐ichi Yoshida, Akira Murakami, Junji Terao, Hiroyuki Sakakibara, Gen‐ichi Danno and Norio Yamamoto and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Hitoshi Ashida

256 papers receiving 8.3k citations

Hit Papers

Multitargeted cancer prevention by quercetin 2002 2026 2010 2018 2008 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hitoshi Ashida Japan 48 3.2k 1.9k 1.5k 1.2k 1.2k 262 8.5k
Syed Ibrahim Rizvi India 39 2.3k 0.7× 2.3k 1.2× 1.4k 1.0× 1.8k 1.5× 732 0.6× 192 8.6k
Mi‐Kyung Lee South Korea 47 2.6k 0.8× 1.4k 0.7× 1.2k 0.8× 1.0k 0.8× 660 0.6× 217 7.6k
Sonia Ramos Spain 49 2.7k 0.9× 2.5k 1.3× 951 0.7× 630 0.5× 812 0.7× 136 7.5k
Luis Goya Spain 52 3.0k 0.9× 2.6k 1.3× 1.0k 0.7× 684 0.6× 788 0.7× 158 8.6k
Lluı́s Arola Spain 54 3.1k 1.0× 2.8k 1.4× 1.3k 0.9× 2.3k 1.9× 856 0.7× 297 9.9k
Patricia I. Oteiza United States 58 2.9k 0.9× 2.4k 1.2× 1.8k 1.2× 1.2k 1.0× 1.0k 0.9× 171 10.2k
Takanori Tsuda Japan 40 1.8k 0.6× 3.2k 1.6× 1.1k 0.8× 870 0.7× 621 0.5× 94 6.4k
Dae Young Kwon South Korea 49 4.0k 1.2× 674 0.3× 1.1k 0.8× 1.2k 1.0× 1.1k 0.9× 231 8.0k
Teruo Miyazawa Japan 58 4.7k 1.5× 3.3k 1.7× 1.0k 0.7× 1.8k 1.5× 1.2k 1.0× 391 12.8k
Ana Rodriguez‐Mateos United Kingdom 43 2.6k 0.8× 4.0k 2.0× 1.2k 0.8× 1.3k 1.1× 1.3k 1.1× 144 9.1k

Countries citing papers authored by Hitoshi Ashida

Since Specialization
Citations

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

Fields of papers citing papers by Hitoshi Ashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hitoshi Ashida

This figure shows the co-authorship network connecting the top 25 collaborators of Hitoshi Ashida. A scholar is included among the top collaborators of Hitoshi Ashida 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 Hitoshi Ashida. Hitoshi Ashida 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.
Harada, Naoki, et al.. (2025). Ashitaba Chalcone 4‐Hydroxydericcin Promotes Glucagon‐Like Peptide‐1 Secretion and Prevents Postprandial Hyperglycemia in Mice. Molecular Nutrition & Food Research. 69(6). e202400690–e202400690.
3.
Mukai, Rie, et al.. (2025). 8-Prenylnaringenin suppresses obesity in high-fat diet-fed C57BL/6J mice via adiponectin secretion. Journal of Clinical Biochemistry and Nutrition. 77(1). 64–73.
5.
Yamashita, Yoko, et al.. (2024). Dietary flaxseed oil suppresses hyperglycemia and hyperinsulinemia through increasing in α-linolenic acid content in the muscle. Journal of Clinical Biochemistry and Nutrition. 75(2). 133–144.
6.
Hoshi, Namiko, Yoko Yamashita, Takeshi Fukumoto, et al.. (2024). Black Soybean Seed Coat Extract Suppresses Gut Tumorigenesis by Augmenting the Production of Gut Microbiota-Derived Short-Chain Fatty Acids. Cancers. 16(22). 3846–3846.
7.
Kitakaze, Tomoya, et al.. (2023). Aged Garlic Extract Prevents Alcohol‐Induced Cytotoxicity through Induction of Aldehyde Dehydrogenase 2 in the Liver of Mice. Molecular Nutrition & Food Research. 67(10). e2200627–e2200627. 4 indexed citations
8.
Yamashita, Yoko, et al.. (2023). Single oral administration of quercetin glycosides prevented acute hyperglycemia by promoting GLUT4 translocation in skeletal muscles through the activation of AMPK in mice. Journal of Clinical Biochemistry and Nutrition. 74(1). 37–46. 4 indexed citations
9.
Hayashi, Daiki, Varnavas D. Mouchlis, Liuqing Wang, et al.. (2022). Vitamin E functions by association with a novel binding site on the 67 kDa laminin receptor activating diacylglycerol kinase. The Journal of Nutritional Biochemistry. 110. 109129–109129. 6 indexed citations
10.
Hayashi, Daiki, Liuqing Wang, Shuji Ueda, et al.. (2020). The mechanisms of ameliorating effect of a green tea polyphenol on diabetic nephropathy based on diacylglycerol kinase α. Scientific Reports. 10(1). 11790–11790. 20 indexed citations
11.
Zhang, Tianshun, Qiushi Wang, Ge Gao, et al.. (2018). The Ashitaba ( Angelica keiskei ) Chalcones 4-hydroxyderricin and Xanthoangelol Suppress Melanomagenesis By Targeting BRAF and PI3K. Cancer Prevention Research. 11(10). 607–620. 11 indexed citations
12.
Wang, Liuqing, Yoko Yamashita, Akiko Saito, & Hitoshi Ashida. (2017). An analysis method for flavan-3-ols using high performance liquid chromatography coupled with a fluorescence detector. Journal of Food and Drug Analysis. 25(3). 478–487. 18 indexed citations
13.
Wakagi, Manabu, et al.. (2015). Black Tea Polyphenols Promotes GLUT4 Translocation through Both PI3K-and AMPK-dependent Pathways in Skeletal Muscle Cells. Food Science and Technology Research. 21(3). 489–494. 18 indexed citations
14.
Mitani, Takakazu, Yuta Ito, Naoki Harada, et al.. (2014). Resveratrol Reduces the Hypoxia-Induced Resistance to Doxorubicin in Breast Cancer Cells. Journal of Nutritional Science and Vitaminology. 60(2). 122–128. 33 indexed citations
16.
Fukuda, Itsuko, Atsushi Kaneko, Shin Nishiumi, et al.. (2009). Structure–activity relationships of anthraquinones on the suppression of DNA-binding activity of the aryl hydrocarbon receptor induced by 2,3,7,8-tetrachlorodibenzo-p-dioxin. Journal of Bioscience and Bioengineering. 107(3). 296–300. 12 indexed citations
17.
Fukuda, Itsuko, et al.. (2009). Preventive effects of baker's yeast-derived β-glucan on hypercholesterolemia in rats. 87(3). 129–134. 1 indexed citations
18.
Ashida, Hitoshi, Shin Nishiumi, & Itsuko Fukuda. (2008). An update on the dietary ligands of the AhR. Expert Opinion on Drug Metabolism & Toxicology. 4(11). 1429–1447. 38 indexed citations
19.
Fukuda, Itsuko, et al.. (2005). Black Tea Theaflavins Suppress Dioxin-Induced Transformation of the Aryl Hydrocarbon Receptor. Bioscience Biotechnology and Biochemistry. 69(5). 883–890. 13 indexed citations
20.
Satsu, Hideo, Hirohito Watanabe, Ryuichiro Sato, et al.. (2003). Evaluation of Intestinal Dioxin Permeability Using Human Caco-2 Cell Monolayers. Food Science and Technology Research. 9(4). 364–366. 8 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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