Fumio Saito
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Molecular Biology
- Physiology top 10%
- Surgery
- Co-authors
- Wantae KimToshio KushiroGenjiro KimuraSunao KojimaMichael L. TuckYuji OtsukaM HoriYutaka Fukushima
- Topics
- Epilepsy research and treatment (10 papers)Cardiac Imaging and Diagnostics (8 papers)Eicosanoids and Hypertension Pharmacology (5 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismAnimal Science and Zoology
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Fumio Saito
86 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 138
- Cardiology and Cardiovascular Medicine 543
- Endocrinology, Diabetes and Metabolism 393
- Molecular Biology 253
- Physiology 199
- Surgery 163
Countries citing papers authored by Fumio Saito
This map shows the geographic impact of Fumio 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 Fumio Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fumio Saito more than expected).
Fields of papers citing papers by Fumio Saito
This network shows the impact of papers produced by Fumio 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 Fumio Saito. The network helps show where Fumio Saito may publish in the future.
Co-authorship network of co-authors of Fumio Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Fumio Saito. A scholar is included among the top collaborators of Fumio 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 Fumio Saito. Fumio 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 | 4 | |
| 2 | 6 | |
| 3 | 1 | |
| 4 | 17 | |
| 5 | 29 | |
| 6 | 16 | |
| 7 | Tilt-induced responses of hemodynamics and plasma catecholamine in patients with neurocardiogenic syncope | 2 |
| 8 | 1 | |
| 9 | [Angiotensin I-converting enzyme gene polymorphism and renal disease]. | 0 |
| 10 | 1 | |
| 11 | 3 | |
| 12 | A study on the prediction of prognosis of temporal lobe epilepsy: With special reference to the seizure frequency in the early stage of therapy | 4 |
| 13 | 3 | |
| 14 | 1 | |
| 15 | 19 | |
| 16 | 2 | |
| 17 | 13 | |
| 18 | 24 | |
| 19 | 2 | |
| 20 | 0 |
About Fumio Saito
Fumio Saito is a scholar working on Cardiology and Cardiovascular Medicine, Psychiatry and Mental health and Biochemistry, having authored 91 papers that have together received 1.7k indexed citations. Recurring topics across this work include Epilepsy research and treatment (10 papers), Cardiac Imaging and Diagnostics (8 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (543 citations), Endocrinology, Diabetes and Metabolism (393 citations) and Animal Science and Zoology (142 citations). Fumio Saito has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Wantae Kim, Toshio Kushiro, Genjiro Kimura, Sunao Kojima, Michael L. Tuck, Yuji Otsuka, M Hori, Yutaka Fukushima, Katsuo Kanmatsuse and Hirofumi Tomiyama. Their work appears in journals such as Journal of Clinical Investigation, Endocrinology and Hypertension.
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.