Takeshi Aiba
- Cardiology and Cardiovascular Medicine top 0.5%
- Molecular Biology top 5%
- Physiology top 5%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Gordon F. TomaselliWataru ShimizuKengo KusanoTakashi NodaShiro KamakuraSatoshi YasudaDavid A. KassHisao Ogawa
- Topics
- Cardiac electrophysiology and arrhythmias (113 papers)Cardiac Arrhythmias and Treatments (70 papers)Ion channel regulation and function (58 papers)
- Journals
- Proceedings of the National Academy of SciencesCirculationSHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Takeshi Aiba
180 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 114
- Cardiology and Cardiovascular Medicine 3.0k
- Molecular Biology 1.4k
- Physiology 451
- Surgery 309
- Pulmonary and Respiratory Medicine 279
Countries citing papers authored by Takeshi Aiba
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
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 of co-authors of Takeshi Aiba
This figure shows the co-authorship network connecting the top 25 collaborators of Takeshi Aiba. A scholar is included among the top collaborators of Takeshi Aiba based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Takeshi Aiba. Takeshi Aiba is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 18 | |
| 13 | 14 | |
| 14 | 41 | |
| 15 | 17 | |
| 16 | 33 | |
| 17 | Clinical Characteristics and Prognosis of Patients with Non-Type 1 Brugada-Pattern Electrocardiogram and a History of Ventricular Fibrillation | 3 |
| 18 | 4 | |
| 19 | 100 | |
| 20 | Mechanism and New Findings in Brugada Syndrome(Mechanisms and Future Challenge) | 1 |
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) and Ion channel regulation and function (58 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.