Ikuo Inoue
Impact in
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- Hormonal Regulation and Hypertension
- Diabetes, Cardiovascular Risks, and Lipoproteins
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- Renin-Angiotensin System Studies
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 19
- Biochemistry 11
- Co-authors
- Shigehiro KatayamaTakuya AwataTsugikazu KomodaSusumu KuriharaTakanari NakanoKouichi InukaiTomoko OhkuboMasaki Watanabe
- Journals
- Journal of Atherosclerosis and Thrombosis (8 papers)Biochemical and Biophysical Research Communications (7 papers)Journal of Biological Chemistry (6 papers)Metabolism (6 papers)Neuroscience (5 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Ikuo Inoue
160 papers receiving 5.8k citations
Peers
Comparison fields: 5 of 135
- Endocrinology, Diabetes and Metabolism 1.2k
- Cardiology and Cardiovascular Medicine 997
- Biochemistry 316
- Molecular Biology 2.5k
- Physiology 883
Countries citing papers authored by Ikuo Inoue
This map shows the geographic impact of Ikuo Inoue'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 Ikuo Inoue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ikuo Inoue more than expected).
Fields of papers citing papers by Ikuo Inoue
This network shows the impact of papers produced by Ikuo Inoue. 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 Ikuo Inoue. The network helps show where Ikuo Inoue may publish in the future.
Co-authors
The 25 scholars most cited alongside Ikuo Inoue, 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 | 2023 | 1 | |
| 2 | 2021 | 4 | |
| 3 | 2020 | 8 | |
| 4 | 2016 | 34 | |
| 5 | 2012 | 16 | |
| 6 | 2012 | 24 | |
| 7 | 2012 | 5 | |
| 8 | 2011 | 84 | |
| 9 | 2010 | 2 | |
| 10 | 2009 | 17 | |
| 11 | 2008 | 73 | |
| 12 | 2007 | 28 | |
| 13 | [Lipid metabolism and magnesium]. | 2005 | 28 |
| 14 | 2005 | 112 | |
| 15 | 2003 | 32 | |
| 16 | 1999 | 1 | |
| 17 | 1994 | 27 | |
| 18 | 1991 | 1 | |
| 19 | 1985 | 66 | |
| 20 | 1981 | 30 |
About Ikuo Inoue
Ikuo Inoue is a scholar working on Endocrinology, Diabetes and Metabolism, Biochemistry, Cellular and Molecular Neuroscience, Surgery and Molecular Biology, having authored 163 papers that have together received 6.0k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (21 papers), Peroxisome Proliferator-Activated Receptors (19 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (19 papers), Ion channel regulation and function (14 papers), Neuroscience and Neural Engineering (13 papers), Metabolism, Diabetes, and Cancer (11 papers), Diabetes and associated disorders (10 papers) and Pancreatic function and diabetes (10 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.2k citations), Cardiology and Cardiovascular Medicine (997 citations), Biochemistry (316 citations), Molecular Biology (2.5k citations) and Physiology (883 citations). Ikuo Inoue has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Shigehiro Katayama, Takuya Awata, Tsugikazu Komoda, Susumu Kurihara, Takanari Nakano, Kouichi Inukai, Tomoko Ohkubo, Masaki Watanabe, Yutaka Nakaya and Shigeru Hokari. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Metabolism and Neuroscience.
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.