Kinya Ashida

1.2k citations
39 papers · 830 · h-index 14

Impact in

Papers in

Kinya Ashida

38 papers receiving 809 citations

Peers

Kinya Ashida
Comparison fields: 5 of 92
  • Biological Psychiatry 45
  • Physiology 352
  • Nutrition and Dietetics 155
  • Endocrinology, Diabetes and Metabolism 139
  • Clinical Biochemistry 38
Replace Takehiko Fujino with:
Takehiko Fujino Japan
Amy R. Blair Australia
A. P. Caputi Italy
Hongna Pan United States
Yacir Benomar France
Amrita Kamat United States
Maria Stefania Spagnuolo Italy
Hana Koutníková France
Feifan Guo China
Michael Orford United Kingdom
Kinya Ashida relative to Takehiko Fujino Japan Takehiko Fujino's profile →
Citations per field
00.5×1.5×2.2×
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 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018200
2 200499
3 198692
4 201880
5 201665
6 200328
7 201725
8 197921
9 202120
10 200318
11 199917
12 199816
13 199413
14 202213
15 199712
16 202112
17 199912
18 199711
19 201911
20 20119

About Kinya Ashida

Kinya Ashida is a scholar working on Molecular Biology, Physiology, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 39 papers that have together received 830 indexed citations. Recurring topics across this work include Diet and metabolism studies (11 papers), Diet, Metabolism, and Disease (7 papers), Exercise and Physiological Responses (5 papers), Muscle metabolism and nutrition (5 papers), Nutrition and Health in Aging (5 papers), Muscle Physiology and Disorders (5 papers), Animal Nutrition and Physiology (4 papers) and Renin-Angiotensin System Studies (3 papers). The work is most often cited by research in Biological Psychiatry (45 citations), Physiology (352 citations), Nutrition and Dietetics (155 citations), Endocrinology, Diabetes and Metabolism (139 citations) and Clinical Biochemistry (38 citations). Kinya Ashida has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Kentaro Nakamura, Junko Matsuo, Ikki Ishida, Hiroshi Kunugi, Miho Ota, Takeshi Takahashi, Bo Lönnerdal, Hajime Sasaki, Yasushi Suzuki and Motohatsu Fujiwara. Their work appears in journals such as Nutrients, Biological Trace Element Research, Journal of Dairy Science, Fish Physiology and Biochemistry and Molecular Pharmacology.

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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