Tsukasa Saito
- Endocrinology, Diabetes and Metabolism top 2%
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Pulmonary and Respiratory Medicine top 10%
- Epidemiology top 10%
- Co-authors
- Toshimasa OnayaAnton E. BeckerKenji WakiToyoshi EndoTakahiko KogaiAkio KawaguchiAsako MiyazakiMinoru Nakazato
- Topics
- Thyroid Disorders and Treatments (6 papers)Intracerebral and Subarachnoid Hemorrhage Research (5 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)
- Journals
- Journal of Clinical InvestigationGastroenterologyThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Tsukasa Saito
72 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 110
- Endocrinology, Diabetes and Metabolism 516
- Molecular Biology 468
- Cardiology and Cardiovascular Medicine 354
- Pulmonary and Respiratory Medicine 278
- Epidemiology 267
Countries citing papers authored by Tsukasa Saito
This map shows the geographic impact of Tsukasa Saito'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 Tsukasa Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsukasa Saito more than expected).
Fields of papers citing papers by Tsukasa Saito
This network shows the impact of papers produced by Tsukasa Saito. 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 Tsukasa Saito. The network helps show where Tsukasa Saito may publish in the future.
Co-authorship network of co-authors of Tsukasa Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Tsukasa Saito. A scholar is included among the top collaborators of Tsukasa Saito 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 Tsukasa Saito. Tsukasa Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 10 | |
| 3 | 48 | |
| 4 | 5 | |
| 5 | 36 | |
| 6 | 30 | |
| 7 | 5 | |
| 8 | 66 | |
| 9 | 13 | |
| 10 | 119 | |
| 11 | 0 | |
| 12 | 10 | |
| 13 | 1 | |
| 14 | 131 | |
| 15 | 114 | |
| 16 | 19 | |
| 17 | 18 | |
| 18 | 15 | |
| 19 | 1 | |
| 20 | 17 |
About Tsukasa Saito
Tsukasa Saito is a scholar working on Neurology, Speech and Hearing and Rehabilitation, having authored 76 papers that have together received 1.8k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (6 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers) and Monoclonal and Polyclonal Antibodies Research (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (516 citations), Cardiology and Cardiovascular Medicine (354 citations) and Neurology (206 citations). Tsukasa Saito has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Toshimasa Onaya, Anton E. Becker, Kenji Waki, Toyoshi Endo, Takahiko Kogai, Akio Kawaguchi, Asako Miyazaki, Minoru Nakazato, Takayuki Katayama and Masato Ikeda. Their work appears in journals such as Journal of Clinical Investigation, Gastroenterology and The Journal of Clinical Endocrinology & Metabolism.
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.