Eiichi Hinoi
- Orthopedics and Sports Medicine top 0.5%
- Biological Psychiatry top 2%
- Physiology top 1%
- Adipose Tissue and Metabolism 19
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- Bone Metabolism and Diseases 47
- Epigenetics and DNA Methylation 9
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- Neuroscience and Neuropharmacology Research 39
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- Bone health and treatments 19
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- Amino Acid Enzymes and Metabolism 15
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- Adipokines, Inflammation, and Metabolic Diseases 12
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- Osteoarthritis Treatment and Mechanisms 12
- Co-authors
- Yukio YonedaGérard KarsentyMathieu FerronTakeshi TakaradaPatricia DucyJason K. KimDae Young JungSayumi Fujimori
- Journals
- Cell (3 papers)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (6 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Eiichi Hinoi
153 papers receiving 7.3k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Orthopedics and Sports Medicine 1.3k
- Endocrine and Autonomic Systems 681
- Biological Psychiatry 150
- Endocrinology, Diabetes and Metabolism 906
- Physiology 1.4k
Countries citing papers authored by Eiichi Hinoi
This map shows the geographic impact of Eiichi Hinoi'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 Eiichi Hinoi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiichi Hinoi more than expected).
Fields of papers citing papers by Eiichi Hinoi
This network shows the impact of papers produced by Eiichi Hinoi. 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 Eiichi Hinoi. The network helps show where Eiichi Hinoi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Eiichi Hinoi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 3 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 5 | |
| 11 | 2019 | 26 | |
| 12 | 2019 | 26 | |
| 13 | 2015 | 18 | |
| 14 | 2012 | 82 | |
| 15 | 2011 | 28 | |
| 16 | 2006 | 149 | |
| 17 | 2005 | 31 | |
| 18 | 2002 | 44 | |
| 19 | 2002 | 36 | |
| 20 | 2001 | 25 |
About Eiichi Hinoi
Eiichi Hinoi is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Biochemistry, having authored 159 papers that have together received 7.4k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (47 papers), Neuroscience and Neuropharmacology Research (39 papers), Bone health and treatments (19 papers), Adipose Tissue and Metabolism (19 papers), Amino Acid Enzymes and Metabolism (15 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Osteoarthritis Treatment and Mechanisms (12 papers) and Epigenetics and DNA Methylation (9 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.3k citations), Endocrine and Autonomic Systems (681 citations) and Biological Psychiatry (150 citations). Eiichi Hinoi has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Yukio Yoneda, Gérard Karsenty, Mathieu Ferron, Takeshi Takarada, Patricia Ducy, Jason K. Kim, Dae Young Jung, Sayumi Fujimori, Marc D. McKee and P. Joseph Mee. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.