Hitoshi Ashida

10.3k citations
262 papers · 8.5k indexed · 2 hit papers · h-index 48

Hitoshi Ashida

256 papers receiving 8.3k citations

Hit Papers

Multitargeted cancer prevention by quercetin5952002202620102018100200300400500

Peers

Hitoshi Ashida
Comparison fields: 5 of 147
  • Biochemistry 1.9k
  • Pharmacology 722
  • Biological Psychiatry 182
  • Endocrinology, Diabetes and Metabolism 1.1k
  • Geriatrics and Gerontology 257
Replace Syed Ibrahim Rizvi with:
Syed Ibrahim Rizvi India
Myung‐Sook Choi South Korea
Shiming Li China
Lluı́s Arola Spain
Sonia Ramos Spain
Shoei‐Yn Lin‐Shiau Taiwan
Tae Youl Ha South Korea
Jen‐Kun Lin Taiwan
Patricia I. Oteiza United States
Vaqar M. Adhami United States
Hitoshi Ashida relative to Syed Ibrahim Rizvi India Syed Ibrahim Rizvi's profile →
Citations per field
00.5×1.5×
Syed Ibrahim Rizvi · 1×
Citations per year

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

The 25 scholars most cited alongside Hitoshi Ashida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hitoshi Ashida Line = papers co-authored together Hitoshi Ashida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20234
5 20226
6 201811
7 20181
8 201718
9 201518
10 20154
11 201433
12 20139
13 201212
14 20123
15 20117
16 20105
17
Preventive effects of baker's yeast-derived β-glucan on hypercholesterolemia in rats
20091
18 200912
19 200838
20 20038

About Hitoshi Ashida

Hitoshi Ashida is a scholar working on Biochemistry, Pharmacology and Geriatrics and Gerontology, having authored 262 papers that have together received 8.5k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (42 papers), Adipose Tissue and Metabolism (36 papers), Toxic Organic Pollutants Impact (35 papers), Tea Polyphenols and Effects (31 papers), Genomics, phytochemicals, and oxidative stress (27 papers), Carcinogens and Genotoxicity Assessment (24 papers), Phytochemicals and Antioxidant Activities (21 papers) and Adipokines, Inflammation, and Metabolic Diseases (20 papers). The work is most often cited by research in Biochemistry (1.9k citations), Pharmacology (722 citations) and Biological Psychiatry (182 citations). Hitoshi Ashida has collaborated with scholars based in Japan, United States and China. Frequent 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. Their work appears in journals such as Bioscience Biotechnology and Biochemistry, Journal of Agricultural and Food Chemistry, Food & Function, Archives of Biochemistry and Biophysics and Journal of Clinical Biochemistry and Nutrition.

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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