Takeshi Aiba

9.5k citations
191 papers · 3.7k indexed · h-index 33

Takeshi Aiba

180 papers receiving 3.6k citations

Peers

Takeshi Aiba
Comparison fields: 5 of 114
  • Cardiology and Cardiovascular Medicine 3.0k
  • Geriatrics and Gerontology 88
  • Molecular Biology 1.4k
  • Physiology 451
  • Cellular and Molecular Neuroscience 222
Replace Hisashi Yokoshiki with:
Hisashi Yokoshiki Japan
Toshiaki Ebina Japan
Kuniya Asai Japan
Dirk von Lewinski Austria
Lili A. Barouch United States
Kirsten Leineweber Germany
Kazuyuki Nagatsuka Japan
Pierre Dos Santos France
Neel R. Sodha United States
Masahide Hara Japan
Takeshi Aiba relative to Hisashi Yokoshiki Japan Hisashi Yokoshiki's profile →
Citations per field
00.5×4.5×
Hisashi Yokoshiki · 1×
Citations per year

Countries citing papers authored by Takeshi Aiba

Since Specialization
Citations

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

Fields of papers citing papers by Takeshi Aiba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20242
3 20242
4 20246
5 20240
6 20231
7 20231
8 20233
9 20231
10 20220
11 20221
12 202118
13 201814
14 201841
15 201817
16 201733
17
Clinical Characteristics and Prognosis of Patients with Non-Type 1 Brugada-Pattern Electrocardiogram and a History of Ventricular Fibrillation
20163
18 20154
19 2012100
20
Mechanism and New Findings in Brugada Syndrome(Mechanisms and Future Challenge)
20071

About Takeshi Aiba

Takeshi Aiba is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Internal Medicine, having authored 191 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (113 papers), Cardiac Arrhythmias and Treatments (70 papers), Ion channel regulation and function (58 papers), Cardiac pacing and defibrillation studies (50 papers), Atrial Fibrillation Management and Outcomes (25 papers), ECG Monitoring and Analysis (24 papers), Cardiomyopathy and Myosin Studies (19 papers) and Cardiovascular Effects of Exercise (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.0k citations), Geriatrics and Gerontology (88 citations) and Molecular Biology (1.4k citations). Takeshi Aiba has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Gordon F. Tomaselli, Wataru Shimizu, Kengo Kusano, Takashi Noda, Shiro Kamakura, Satoshi Yasuda, David A. Kass, Hisao Ogawa, Toshihisa Anzai and Teruo Noguchi. Their work appears in journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

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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