Ippei Ikushima

421 citations
19 papers · 332 · h-index 9

Impact in

Papers in

    • Atrial Fibrillation Management and Outcomes 4
    • Cardiac electrophysiology and arrhythmias 2
    • Antiplatelet Therapy and Cardiovascular Diseases 2
    • Antibiotics Pharmacokinetics and Efficacy 2
    • Coffee research and impacts 1

Ippei Ikushima

18 papers receiving 318 citations

Peers

Ippei Ikushima
Comparison fields: 5 of 61
  • Internal Medicine 29
  • Cellular and Molecular Neuroscience 135
  • Cardiology and Cardiovascular Medicine 76
  • Endocrinology, Diabetes and Metabolism 53
  • Molecular Biology 124
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Dou Huang United States
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Shan‐Jin Ryu Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Ippei Ikushima

Since Specialization
Citations

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

Fields of papers citing papers by Ippei Ikushima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1996139
2 201741
3 201825
4 201623
5 201813
6 201713
7 201513
8 200310
9 20179
10 20157
11 20197
12 20176
13 20156
14 19986
15 20196
16 20164
17 20163
18 20131
19 20200

About Ippei Ikushima

Ippei Ikushima is a scholar working on Cardiology and Cardiovascular Medicine, Pharmacology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Infectious Diseases, having authored 19 papers that have together received 332 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Diabetes Management and Research (2 papers), Cardiac electrophysiology and arrhythmias (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Obesity, Physical Activity, Diet (1 paper), Coffee research and impacts (1 paper) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Internal Medicine (29 citations), Cellular and Molecular Neuroscience (135 citations), Cardiology and Cardiovascular Medicine (76 citations), Endocrinology, Diabetes and Metabolism (53 citations) and Molecular Biology (124 citations). Ippei Ikushima has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Yasushi Koiwaya, Makoto Takenaga, Tanenao Eto, Haruhiko Date, Yoshitatsu Nagatomo, Tadashi Ishikawa, Takuroh Imamura, Kazuo Kitamura, Akiko Harada and Shin Irie. Their work appears in journals such as Journal of Diabetes Investigation, Therapeutic Innovation & Regulatory Science, Advances in Therapy, Food Science & Nutrition and Blood.

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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