Kinya Ashida
Impact in
- Biological Psychiatry top 10%
- Physiology top 10%
- Diet and metabolism studies
- Adipose Tissue and Metabolism
Papers in
- Physiology 14
- Diet and metabolism studies 10
- Nutrition and Health in Aging 4
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- Exercise and Physiological Responses 5
- Co-authors
- Kentaro Nakamura (7 shared papers)Miho Ota (3 shared papers)Ikki Ishida (3 shared papers)Hiroshi Kunugi (3 shared papers)Junko Matsuo (3 shared papers)Takeshi Takahashi (2 shared papers)Bo L Lönnerdal (1 shared paper)Hajime Sasaki (1 shared paper)
- Journals
- Nutrients (4 papers)Biological Trace Element Research (3 papers)Journal of Applied Physiology (1 paper)Molecular Pharmacology (1 paper)Journal of Dairy Science (1 paper)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Kinya Ashida
37 papers receiving 931 citations
Peers
Comparison fields: 5 of 103
- Biological Psychiatry 41
- Physiology 365
- Nutrition and Dietetics 158
- Endocrinology, Diabetes and Metabolism 130
- Cardiology and Cardiovascular Medicine 111
Countries citing papers authored by Kinya Ashida
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
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.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 229 | |
| 2 | 2004 | 104 | |
| 3 | 1986 | 98 | |
| 4 | 2018 | 90 | |
| 5 | 2016 | 72 | |
| 6 | 2022 | 60 | |
| 7 | 2017 | 30 | |
| 8 | 2003 | 30 | |
| 9 | 1979 | 23 | |
| 10 | 2021 | 23 | |
| 11 | 2003 | 21 | |
| 12 | 1998 | 20 | |
| 13 | 1997 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2022 | 16 | |
| 16 | 1994 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 1997 | 12 | |
| 19 | 1999 | 12 | |
| 20 | 2001 | 9 |
About Kinya Ashida
Kinya Ashida is a scholar working on Physiology, Rehabilitation, Nutrition and Dietetics, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 37 papers that have together received 974 indexed citations. Recurring topics across this work include Diet and metabolism studies (10 papers), Diet, Metabolism, and Disease (5 papers), Exercise and Physiological Responses (5 papers), Muscle Physiology and Disorders (4 papers), Nutrition and Health in Aging (4 papers), Muscle metabolism and nutrition (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 (365 citations), Nutrition and Dietetics (158 citations), Endocrinology, Diabetes and Metabolism (130 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, Miho Ota, Ikki Ishida, Hiroshi Kunugi, Junko Matsuo, Takeshi Takahashi, Bo L Lönnerdal, Hajime Sasaki, Yasushi A Suzuki and Hiroaki Hori. Their work appears in journals such as Nutrients, Biological Trace Element Research, Journal of Applied Physiology, Molecular Pharmacology and Journal of Dairy Science.
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.