Hitoshi Ide
Impact in
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- Diabetes Management and Research
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Management and Education
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- Sleep and related disorders
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 5
- Diabetes Management and Research 3
- Physiology 11
- Diet and metabolism studies 5
- Nutrition and Health in Aging 5
- Co-authors
- Udai Nakamura (30 shared papers)Takanari Kitazono (30 shared papers)Hiroki Fujii (29 shared papers)Toshiaki Ohkuma (27 shared papers)Masanori Iwase (26 shared papers)Yasuhiro Idewaki (14 shared papers)Yohei Kikuchi (12 shared papers)Yoichiro Hirakawa (8 shared papers)
In The Last Decade
Hitoshi Ide
32 papers receiving 792 citations
Peers
Comparison fields: 5 of 90
- Endocrinology, Diabetes and Metabolism 307
- Experimental and Cognitive Psychology 170
- Physiology 234
- Nephrology 63
- Endocrine and Autonomic Systems 51
Countries citing papers authored by Hitoshi Ide
This map shows the geographic impact of Hitoshi Ide'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 Ide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hitoshi Ide more than expected).
Fields of papers citing papers by Hitoshi Ide
This network shows the impact of papers produced by Hitoshi Ide. 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 Ide. The network helps show where Hitoshi Ide may publish in the future.
Co-authors
The 25 scholars most cited alongside Hitoshi Ide, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 131 | |
| 2 | 2012 | 108 | |
| 3 | 2012 | 62 | |
| 4 | 2013 | 62 | |
| 5 | 2015 | 55 | |
| 6 | 2018 | 48 | |
| 7 | 2015 | 36 | |
| 8 | 2013 | 31 | |
| 9 | 2014 | 31 | |
| 10 | 2020 | 28 | |
| 11 | 2016 | 27 | |
| 12 | 2018 | 24 | |
| 13 | 2018 | 22 | |
| 14 | 2015 | 21 | |
| 15 | 2018 | 21 | |
| 16 | 2016 | 15 | |
| 17 | 2017 | 13 | |
| 18 | 2021 | 10 | |
| 19 | 2019 | 9 | |
| 20 | 2020 | 8 |
About Hitoshi Ide
Hitoshi Ide is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Epidemiology, Public Health, Environmental and Occupational Health and Orthopedics and Sports Medicine, having authored 32 papers that have together received 816 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Bone health and osteoporosis research (5 papers), Diet and metabolism studies (5 papers), Nutrition and Health in Aging (5 papers), Nutritional Studies and Diet (4 papers), Chronic Kidney Disease and Diabetes (4 papers), Diabetes Management and Research (3 papers) and Advanced Glycation End Products research (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (307 citations), Experimental and Cognitive Psychology (170 citations), Physiology (234 citations), Nephrology (63 citations) and Endocrine and Autonomic Systems (51 citations). Hitoshi Ide has collaborated with scholars based in Japan and Australia. Frequent co-authors include Udai Nakamura, Takanari Kitazono, Hiroki Fujii, Toshiaki Ohkuma, Masanori Iwase, Yasuhiro Idewaki, Yohei Kikuchi, Yoichiro Hirakawa, Masahito Yoshinari and Yuji Komorita. Their work appears in journals such as Diabetes Research and Clinical Practice, PLoS ONE, Journal of Diabetes Investigation, BMJ Open Diabetes Research & Care and Diabetes Care.
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.