Takuma Aoyama
- Cardiology and Cardiovascular Medicine top 10%
- Immunology top 10%
- Molecular Biology
- Surgery
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Hisayoshi FujiwaraTatsuya SawamuraΤοmoh MasakiShinya MinatoguchiGenzou TakemuraKazuhiko NishigakiMingyi ChenMasanori Kawasaki
- Topics
- Cardiac electrophysiology and arrhythmias (13 papers)Atrial Fibrillation Management and Outcomes (9 papers)Cardiac Imaging and Diagnostics (9 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Takuma Aoyama
50 papers receiving 732 citations
Peers
Comparison fields: 5 of 84
- Cardiology and Cardiovascular Medicine 263
- Immunology 231
- Molecular Biology 224
- Surgery 148
- Endocrinology, Diabetes and Metabolism 76
Countries citing papers authored by Takuma Aoyama
This map shows the geographic impact of Takuma Aoyama'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 Takuma Aoyama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Takuma Aoyama more than expected).
Fields of papers citing papers by Takuma Aoyama
This network shows the impact of papers produced by Takuma Aoyama. 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 Takuma Aoyama. The network helps show where Takuma Aoyama may publish in the future.
Co-authorship network of co-authors of Takuma Aoyama
This figure shows the co-authorship network connecting the top 25 collaborators of Takuma Aoyama. A scholar is included among the top collaborators of Takuma Aoyama 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 Takuma Aoyama. Takuma Aoyama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 2 | |
| 8 | 17 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 27 | |
| 12 | 11 | |
| 13 | 5 | |
| 14 | 14 | |
| 15 | Abstract 3063: Evaluation of the Left Atrial Degeneration using Integrated Backscatter Transesophageal Echocardiography for the Prediction of Atrial Fibrillation | 1 |
| 16 | 26 | |
| 17 | 17 | |
| 18 | 99 | |
| 19 | 24 | |
| 20 | 11 |
About Takuma Aoyama
Takuma Aoyama is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Developmental Neuroscience, having authored 58 papers that have together received 747 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (13 papers), Atrial Fibrillation Management and Outcomes (9 papers) and Cardiac Imaging and Diagnostics (9 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (263 citations), Immunology (231 citations) and Biochemistry (34 citations). Takuma Aoyama has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Hisayoshi Fujiwara, Tatsuya Sawamura, Τοmoh Masaki, Shinya Minatoguchi, Genzou Takemura, Kazuhiko Nishigaki, Mingyi Chen, Masanori Kawasaki, Hiroaki Ushikoshi and Yoshiyuki Furutani. Their work appears in journals such as Circulation, PLoS ONE and Circulation Research.
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.