Taijiro Sueda
- Surgery top 0.5%
- Oncology top 0.5%
- Pulmonary and Respiratory Medicine top 0.5%
- Cardiology and Cardiovascular Medicine top 1%
- Epidemiology top 2%
- Co-authors
- Yoshiaki MurakamiKenichiro UemuraTakeshi SudoHiroki OhgeYasushi HashimotoKazumasa OrihashiYasuo HayashidaniNaru Kondo
- Topics
- Aortic Disease and Treatment Approaches (89 papers)Pancreatic and Hepatic Oncology Research (85 papers)Aortic aneurysm repair treatments (61 papers)
- Partner nations
- JapanUnited StatesFrance
In The Last Decade
Taijiro Sueda
430 papers receiving 7.4k citations
Peers
Comparison fields: 5 of 138
- Surgery 3.8k
- Oncology 2.9k
- Pulmonary and Respiratory Medicine 2.9k
- Cardiology and Cardiovascular Medicine 1.5k
- Epidemiology 1.2k
Countries citing papers authored by Taijiro Sueda
This map shows the geographic impact of Taijiro Sueda'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 Taijiro Sueda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taijiro Sueda more than expected).
Fields of papers citing papers by Taijiro Sueda
This network shows the impact of papers produced by Taijiro Sueda. 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 Taijiro Sueda. The network helps show where Taijiro Sueda may publish in the future.
Co-authorship network of co-authors of Taijiro Sueda
This figure shows the co-authorship network connecting the top 25 collaborators of Taijiro Sueda. A scholar is included among the top collaborators of Taijiro Sueda 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 Taijiro Sueda. Taijiro Sueda 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 | 0 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | TIMP-1 c.T372C Genetic Polymorphism as a Possible Predictor for Acute Aortic Dissection | 1 |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 19 | |
| 12 | 0 | |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 0 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | Simultaneous Replacement of Ascending Aorta and Aortic Arch for Chronic Type A Dissection in a Patient with SLE | 7 |
| 20 | 2 |
About Taijiro Sueda
Taijiro Sueda is a scholar working on Pulmonary and Respiratory Medicine, Applied Microbiology and Biotechnology and Surgery, having authored 456 papers that have together received 7.6k indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (89 papers), Pancreatic and Hepatic Oncology Research (85 papers) and Aortic aneurysm repair treatments (61 papers). The work is most often cited by research in Oncology (2.9k citations), Pulmonary and Respiratory Medicine (2.9k citations) and Surgery (3.8k citations). Taijiro Sueda has collaborated with scholars based in Japan, United States and France. Frequent co-authors include Yoshiaki Murakami, Kenichiro Uemura, Takeshi Sudo, Hiroki Ohge, Yasushi Hashimoto, Kazumasa Orihashi, Yasuo Hayashidani, Naru Kondo, Kenji Okada and Naoya Nakagawa. Their work appears in journals such as Circulation, Gastroenterology and Journal of the American College of Cardiology.
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.