Kinya Ashida

1.2k citations
37 papers · 888 · h-index 15

Impact in

Papers in

Kinya Ashida

37 papers receiving 850 citations

Peers

Kinya Ashida
Comparison fields: 5 of 90
  • Biological Psychiatry 41
  • Physiology 351
  • Nutrition and Dietetics 154
  • Endocrinology, Diabetes and Metabolism 127
  • Cardiology and Cardiovascular Medicine 111
Replace Takehiko Fujino with:
Takehiko Fujino Japan
Yacir Benomar France
Amandine Gautier‐Stein France
Thomas Laeger Germany
Caleb C. Lord United States
Feifan Guo China
Adriana Cristina Levada‐Pires Brazil
Matthew R. Gangl United States
Jean Girard France
María Castelló‐Ruiz Spain
Kinya Ashida relative to Takehiko Fujino Japan Takehiko Fujino's profile →
Citations per field
00.5×2.8×
Takehiko Fujino · 1×
Citations per year

Countries citing papers authored by Kinya Ashida

Since Specialization
Citations

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

Fields of papers citing papers by Kinya Ashida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Kinya 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 Kinya Ashida Line = papers co-authored together Kinya Ashida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018222
2 2004103
3 198698
4 201885
5 201671
6 200330
7 201726
8 197923
9 202121
10 199820
11 199718
12 200318
13 201915
14 202215
15 199415
16 202112
17 199712
18 199912
19 20119
20 20019

About Kinya Ashida

Kinya Ashida is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nutrition and Dietetics, having authored 37 papers that have together received 888 indexed citations. Recurring topics across this work include Diet and metabolism studies (11 papers), Diet, Metabolism, and Disease (6 papers), Exercise and Physiological Responses (5 papers), Muscle metabolism and nutrition (4 papers), Nutrition and Health in Aging (4 papers), Muscle Physiology and Disorders (4 papers), Animal Nutrition and Physiology (4 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Biological Psychiatry (41 citations), Physiology (351 citations), Nutrition and Dietetics (154 citations), Endocrinology, Diabetes and Metabolism (127 citations) and Cardiology and Cardiovascular Medicine (111 citations). Kinya Ashida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kentaro Nakamura, Junko Matsuo, Hiroshi Kunugi, Miho Ota, Ikki Ishida, Takeshi Takahashi, Bo Lönnerdal, Yasushi Suzuki, Hajime Sasaki and Motohatsu Fujiwara. Their work appears in journals such as Nutrients, Biological Trace Element Research, BioMetals, The journal of nutrition health & aging and Hormone and Metabolic Research.

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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