Takashi Kaneshiro
- Cardiology and Cardiovascular Medicine top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Surgery
- Physiology
- Co-authors
- Yasuchika TakeishiAkiomi YoshihisaTomofumi MisakaShinya YamadaTetsuro YokokawaMasashi KamiokaMasayoshi OikawaMinoru Nodera
- Topics
- Atrial Fibrillation Management and Outcomes (31 papers)Cardiac Arrhythmias and Treatments (30 papers)Cardiac electrophysiology and arrhythmias (23 papers)
- Partner nations
- JapanUnited StatesItaly
In The Last Decade
Takashi Kaneshiro
84 papers receiving 725 citations
Peers
Comparison fields: 5 of 82
- Cardiology and Cardiovascular Medicine 510
- Molecular Biology 113
- Pulmonary and Respiratory Medicine 102
- Surgery 79
- Physiology 79
Countries citing papers authored by Takashi Kaneshiro
This map shows the geographic impact of Takashi Kaneshiro'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 Takashi Kaneshiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takashi Kaneshiro more than expected).
Fields of papers citing papers by Takashi Kaneshiro
This network shows the impact of papers produced by Takashi Kaneshiro. 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 Takashi Kaneshiro. The network helps show where Takashi Kaneshiro may publish in the future.
Co-authorship network of co-authors of Takashi Kaneshiro
This figure shows the co-authorship network connecting the top 25 collaborators of Takashi Kaneshiro. A scholar is included among the top collaborators of Takashi Kaneshiro 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 Takashi Kaneshiro. Takashi Kaneshiro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 18 | |
| 10 | Abstract 11808: Visit-to-visit Blood Pressure Variability Predicts Recurrence of Atrial Fibrillation in Patients With Hypertension | 0 |
| 11 | 7 | |
| 12 | 14 | |
| 13 | 3 | |
| 14 | 2 | |
| 15 | 2 | |
| 16 | 4 | |
| 17 | 4 | |
| 18 | 1 | |
| 19 | 4 | |
| 20 | 25 |
About Takashi Kaneshiro
Takashi Kaneshiro is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Pulmonary and Respiratory Medicine, having authored 88 papers that have together received 745 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (31 papers), Cardiac Arrhythmias and Treatments (30 papers) and Cardiac electrophysiology and arrhythmias (23 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (510 citations), Nephrology (33 citations) and Critical Care and Intensive Care Medicine (22 citations). Takashi Kaneshiro has collaborated with scholars based in Japan, United States and Italy. Frequent co-authors include Yasuchika Takeishi, Akiomi Yoshihisa, Tomofumi Misaka, Shinya Yamada, Tetsuro Yokokawa, Masashi Kamioka, Masayoshi Oikawa, Minoru Nodera, Atsushi Kobayashi and Takafumi Ishida. Their work appears in journals such as Circulation, PLoS ONE and Scientific Reports.
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.