Ikuo Inoue

7.4k citations
172 papers · 6.3k · h-index 40

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 17
    • Ion channel regulation and function 15
    • Metabolism, Diabetes, and Cancer 8
    • Lipoproteins and Cardiovascular Health 17

Ikuo Inoue

168 papers receiving 6.1k citations

Peers

Ikuo Inoue
Comparison fields: 5 of 139
  • Endocrinology, Diabetes and Metabolism 1.0k
  • Cardiology and Cardiovascular Medicine 880
  • Biochemistry 288
  • Clinical Biochemistry 232
  • Endocrine and Autonomic Systems 220
Replace Richard L. Klein with:
Richard L. Klein United States
Samir S. Deeb United States
Yoshio Terada Japan
Shoji Kimura Japan
John Hwa United States
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Citations per field
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Citations per year

Countries citing papers authored by Ikuo Inoue

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Ikuo Inoue Line = papers co-authored together Ikuo Inoue links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002491
2 1997481
3 2000268
4 2001257
5 2004197
6 1998184
7 1992141
8 1990137
9 1998135
10 1992127
11 1998127
12 2005120
13 2005116
14 1994106
15 2002105
16 2005100
17 199397
18 201192
19 200484
20 199084

About Ikuo Inoue

Ikuo Inoue is a scholar working on Molecular Biology, Surgery, Endocrinology, Diabetes and Metabolism, Physiology and Cellular and Molecular Neuroscience, having authored 172 papers that have together received 6.3k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (17 papers), Lipoproteins and Cardiovascular Health (17 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (16 papers), Ion channel regulation and function (15 papers), Neuroscience and Neural Engineering (13 papers), Diabetes and associated disorders (9 papers), Metabolism, Diabetes, and Cancer (8 papers) and Cancer, Lipids, and Metabolism (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.0k citations), Cardiology and Cardiovascular Medicine (880 citations), Biochemistry (288 citations), Clinical Biochemistry (232 citations) and Endocrine and Autonomic Systems (220 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, Tomoko Ohkubo, Kouichi Inukai, Yutaka Nakaya, Masaki Watanabe and Tetsuzo Wakatsuki. Their work appears in journals such as Journal of Atherosclerosis and Thrombosis, Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, Metabolism and The Journal of General Physiology.

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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