Mio Ebato

584 citations
44 papers · 167 · h-index 9

Impact in

Papers in

Mio Ebato

36 papers receiving 161 citations

Peers

Mio Ebato
Comparison fields: 5 of 33
  • Cardiology and Cardiovascular Medicine 132
  • Geriatrics and Gerontology 6
  • Internal Medicine 4
  • Family Practice 2
  • Radiology, Nuclear Medicine and Imaging 21
Replace Paramdeep Baweja with:
Paramdeep Baweja United States
Fátima Záraket Spain
Hassan Alhosaini United States
Róbert Pap Hungary
Olga Toleva Canada
J. Paul Rocchiccioli United Kingdom
Salim Elyas United Kingdom
Maarten-Jan Cramer Netherlands
Pedro Azcárate Spain
Małgorzata Sikora-Frąc Poland
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Citations per field
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Paramdeep Baweja · 1×
Citations per year

Countries citing papers authored by Mio Ebato

Since Specialization
Citations

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

Fields of papers citing papers by Mio Ebato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201618
2 202012
3 199812
4 201611
5 200211
6 201910
7 20029
8 20198
9 20208
10 20207
11 20067
12 20186
13 20194
14 20214
15 20154
16 20214
17 20233
18 20123
19 20232
20 20242

About Mio Ebato

Mio Ebato is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Internal Medicine and Epidemiology, having authored 44 papers that have together received 167 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (8 papers), Atrial Fibrillation Management and Outcomes (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Cardiac electrophysiology and arrhythmias (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Cardiomyopathy and Myosin Studies (3 papers), ECG Monitoring and Analysis (3 papers) and Cardiovascular Effects of Exercise (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (132 citations), Geriatrics and Gerontology (6 citations), Internal Medicine (4 citations), Family Practice (2 citations) and Radiology, Nuclear Medicine and Imaging (21 citations). Mio Ebato has collaborated with scholars based in Japan and Australia. Frequent co-authors include Hiroshi Suzuki, Yoshitaka Iso, Sakura Nagumo, Youichi Takeyama, Takuya Mizukami, Naoko Ikeda, Kohei Wakabayashi, Masahiko Kurabayashi, Masaaki Takeuchi and Masaki Izumo. Their work appears in journals such as Circulation Journal, ESC Heart Failure, European Heart Journal, Annals of Noninvasive Electrocardiology and Journal of Atherosclerosis and Thrombosis.

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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