Toshihiko Ban
- Cardiology and Cardiovascular Medicine top 1%
- Radiology, Nuclear Medicine and Imaging top 1%
- Surgery top 10%
- Molecular Biology
- Biomedical Engineering top 10%
- Co-authors
- Nagara TamakiKazuwa NakaoYoshiharu YonekuraHiroo ImuraKazuo HirataKazunobu NishimuraAkira SugawaraKatsuhiko Matsuda
- Topics
- Cardiac Imaging and Diagnostics (17 papers)Mechanical Circulatory Support Devices (17 papers)Congenital Heart Disease Studies (16 papers)
In The Last Decade
Toshihiko Ban
76 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 108
- Cardiology and Cardiovascular Medicine 1.6k
- Radiology, Nuclear Medicine and Imaging 1.1k
- Surgery 516
- Molecular Biology 391
- Biomedical Engineering 372
Countries citing papers authored by Toshihiko Ban
This map shows the geographic impact of Toshihiko Ban'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 Toshihiko Ban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Toshihiko Ban more than expected).
Fields of papers citing papers by Toshihiko Ban
This network shows the impact of papers produced by Toshihiko Ban. 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 Toshihiko Ban. The network helps show where Toshihiko Ban may publish in the future.
Co-authorship network of co-authors of Toshihiko Ban
This figure shows the co-authorship network connecting the top 25 collaborators of Toshihiko Ban. A scholar is included among the top collaborators of Toshihiko Ban 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 Toshihiko Ban. Toshihiko Ban 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 | 2 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 50 | |
| 6 | 5 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 13 | |
| 10 | 4 | |
| 11 | 13 | |
| 12 | 72 | |
| 13 | 89 | |
| 14 | 0 | |
| 15 | 39 | |
| 16 | Significance of α-human atrial nątriuretic polypeptide as a hormone in humans | 34 |
| 17 | Coronary artery bypass grafting combined with intracardiac procedures | 1 |
| 18 | AORTO-CORONARY BYPASS SURGERY FOR VASOSPASTIC ANGINA : Ischemic heart disease : FREE COMMUNICATIONS (Abstract) : 45 Annual Scientific Meeting, Japanese Circulation Society | 1 |
| 19 | 8 | |
| 20 | Total Correction of Tetralogy of Fallot (III) Experience with Nine Infants under the Age of Two Years | 4 |
About Toshihiko Ban
Toshihiko Ban is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Surgery, having authored 82 papers that have together received 2.8k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (17 papers), Mechanical Circulatory Support Devices (17 papers) and Congenital Heart Disease Studies (16 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (1.6k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Surgery (516 citations). Toshihiko Ban has collaborated with scholars based in Japan, Spain and Germany. Frequent co-authors include Nagara Tamaki, Kazuwa Nakao, Yoshiharu Yonekura, Hiroo Imura, Kazuo Hirata, Kazunobu Nishimura, Akira Sugawara, Katsuhiko Matsuda, Hideo Saji and Junji Konishi. Their work appears in journals such as Circulation, Journal of the American College of Cardiology 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.