Hajime Ide

608 citations
25 papers · 508 · h-index 11

Impact in

Papers in

    • Protein Tyrosine Phosphatases 2
    • Ion channel regulation and function 2
    • Enzyme function and inhibition 2
    • Adipose Tissue and Metabolism 3

Hajime Ide

23 papers receiving 486 citations

Peers

Hajime Ide
Comparison fields: 5 of 87
  • Endocrinology, Diabetes and Metabolism 163
  • Clinical Biochemistry 54
  • Catalysis 47
  • Biochemistry 37
  • Cardiology and Cardiovascular Medicine 135
Replace Yixuan Shi with:
Yixuan Shi Canada
Yuqin Zhang China
Josefa Fernández-Álvarez Spain
L Winkler Germany
Jihong Dong China
Masakazu Fujii Japan
Jean-Louis Paul France
Sae Rom Lee South Korea
K. L. Olin United States
Moshira Rateb Egypt
Hajime Ide relative to Yixuan Shi Canada Yixuan Shi's profile →
Citations per field
00.5×9.4×
Yixuan Shi · 1×
Citations per year

Countries citing papers authored by Hajime Ide

Since Specialization
Citations

This map shows the geographic impact of Hajime 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 Hajime Ide with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hajime Ide more than expected).

Fields of papers citing papers by Hajime Ide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hajime 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 Hajime Ide. The network helps show where Hajime Ide may publish in the future.

Co-authors

The 25 scholars most cited alongside Hajime Ide, 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 Hajime Ide Line = papers co-authored together Hajime Ide links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985100
2 200582
3 198559
4 199548
5 202142
6
Effects of simvastatin, an HMG-CoA reductase inhibitor, on plasma lipids and steroid hormones.
199136
7 199330
8 200724
9 202119
10 197217
11 197911
12 19877
13 19806
14 19785
15 20024
16 19874
17 19753
18 19843
19 20023
20
20041

About Hajime Ide

Hajime Ide is a scholar working on Molecular Biology, Physiology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery, having authored 25 papers that have together received 508 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Protein Tyrosine Phosphatases (2 papers), Advanced Glycation End Products research (2 papers), Ion channel regulation and function (2 papers), Catalysis and Oxidation Reactions (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Enzyme function and inhibition (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (163 citations), Clinical Biochemistry (54 citations), Catalysis (47 citations), Biochemistry (37 citations) and Cardiology and Cardiovascular Medicine (135 citations). Hajime Ide has collaborated with scholars based in Japan, China and United States. Frequent co-authors include Masahiro Tsuji, Yoshikazu Kawakami, Masayuki Endo, Kazumi Yagasaki, Fumiaki Yoshizawa, Ryuhei Funabiki, Hiroshi Kaji, Kazuo Saito, Tadao Hama and Keizo Ito. Their work appears in journals such as Journal of Lipid Research, Clinica Chimica Acta, Diabetes Research and Clinical Practice, Physical Chemistry Chemical Physics and Journal of Molecular Medicine.

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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