Hideki Koike

544 citations
51 papers · 356 · h-index 12

Impact in

Papers in

Hideki Koike

44 papers receiving 350 citations

Peers

Hideki Koike
Comparison fields: 5 of 66
  • Cardiology and Cardiovascular Medicine 175
  • Internal Medicine 8
  • Hematology 25
  • Geriatrics and Gerontology 7
  • Neurology 27
Replace Afsoon Fazlinezhad with:
Afsoon Fazlinezhad Iran
Jun Yuan China
Ety Shaoul Israel
Yubi Lin China
Carly Lodewyks Canada
Luigi Cappannoli Italy
Sonali Deshmukh India
С. Б. Фитилев Russia
Yudi Her Oktaviono Indonesia
Ji‐Hoon Choi South Korea
Hideki Koike relative to Afsoon Fazlinezhad Iran Afsoon Fazlinezhad's profile →
Citations per field
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Afsoon Fazlinezhad · 1×
Citations per year

Countries citing papers authored by Hideki Koike

Since Specialization
Citations

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

Fields of papers citing papers by Hideki Koike

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201937
2 200631
3 201926
4 197923
5 202022
6 201821
7 202319
8 201715
9 202314
10 201814
11 201812
12 201811
13
Strain M, a new strain of sugarcane mosaic virus.
197610
14 202010
15 20199
16 20189
17 20206
18 20205
19 20215
20 20215

About Hideki Koike

Hideki Koike is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Genetics and Neurology, having authored 51 papers that have together received 356 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (15 papers), Cardiac Arrhythmias and Treatments (13 papers), Cardiac Valve Diseases and Treatments (7 papers), Cardiac electrophysiology and arrhythmias (6 papers), Cardiac pacing and defibrillation studies (5 papers), Cardiac Imaging and Diagnostics (4 papers), Amyotrophic Lateral Sclerosis Research (3 papers) and Cardiovascular Disease and Adiposity (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (175 citations), Internal Medicine (8 citations), Hematology (25 citations), Geriatrics and Gerontology (7 citations) and Neurology (27 citations). Hideki Koike has collaborated with scholars based in Japan, United States and Thailand. Frequent co-authors include Takanori Ikeda, Tadashi Fujino, Toshio Kinoshita, Hitomi Yuzawa, Yoshikazu Yoshino, Takeya Suzuki, K Akai, Jiro Aoki, Tetsu Tanaka and Kengo Tanabe. Their work appears in journals such as Journal of Cardiology, Circulation Cardiovascular Interventions, JACC: Cardiovascular Interventions, Pacing and Clinical Electrophysiology and Journal of the American College of Cardiology.

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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