Eiryu Sai
Impact in
-
- Cardiovascular Function and Risk Factors
- Cardiac Health and Mental Health
- Cardiovascular Disease and Adiposity
-
- Cardiovascular and exercise physiology
Papers in
-
- Cardiovascular Function and Risk Factors 4
- Surgery 9
- Co-authors
- Hiroyuki Daida (26 shared papers)Kazunori Shimada (17 shared papers)Tetsuro Miyazaki (13 shared papers)Kosuke Fukao (5 shared papers)Katsumi Miyauchi (13 shared papers)Tomoyuki Shiozawa (3 shared papers)Rie Matsumori (3 shared papers)Ryo Naito (4 shared papers)
- Journals
- Journal of Cardiology (3 papers)Heart and Vessels (2 papers)The American Journal of Cardiology (2 papers)PLoS ONE (2 papers)Cardiovascular Diabetology (2 papers)
- Partner nations
- JapanUnited States
In The Last Decade
Eiryu Sai
28 papers receiving 397 citations
Peers
Comparison fields: 5 of 66
- Cardiology and Cardiovascular Medicine 174
- Complementary and alternative medicine 44
- Endocrinology, Diabetes and Metabolism 68
- Biochemistry 20
- Physiology 65
Countries citing papers authored by Eiryu Sai
This map shows the geographic impact of Eiryu Sai'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 Eiryu Sai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eiryu Sai more than expected).
Fields of papers citing papers by Eiryu Sai
This network shows the impact of papers produced by Eiryu Sai. 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 Eiryu Sai. The network helps show where Eiryu Sai may publish in the future.
Co-authors
The 25 scholars most cited alongside Eiryu Sai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 65 | |
| 2 | 2014 | 45 | |
| 3 | 2015 | 41 | |
| 4 | 2013 | 33 | |
| 5 | 2011 | 33 | |
| 6 | 2014 | 27 | |
| 7 | 2017 | 25 | |
| 8 | 2013 | 24 | |
| 9 | 2016 | 16 | |
| 10 | 2015 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 1962 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2018 | 4 | |
| 20 | 2022 | 2 |
About Eiryu Sai
Eiryu Sai is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Physiology, Pulmonary and Respiratory Medicine and Molecular Biology, having authored 30 papers that have together received 400 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (4 papers), Advanced MRI Techniques and Applications (3 papers), Adipose Tissue and Metabolism (3 papers), Diabetes Treatment and Management (3 papers), Cardiovascular and exercise physiology (3 papers), Aortic Disease and Treatment Approaches (3 papers), Obstructive Sleep Apnea Research (2 papers) and Restless Legs Syndrome Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Complementary and alternative medicine (44 citations), Endocrinology, Diabetes and Metabolism (68 citations), Biochemistry (20 citations) and Physiology (65 citations). Eiryu Sai has collaborated with scholars based in Japan and United States. Frequent co-authors include Hiroyuki Daida, Kazunori Shimada, Tetsuro Miyazaki, Kosuke Fukao, Katsumi Miyauchi, Tomoyuki Shiozawa, Rie Matsumori, Ryo Naito, Makoto Hiki and Tomoyasu Kadoguchi. Their work appears in journals such as Journal of Cardiology, Heart and Vessels, The American Journal of Cardiology, PLoS ONE and Cardiovascular Diabetology.
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.