Sadanori Okada
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Epidemiology
- Surgery
- Physiology
- Co-authors
- Yoshihiko SaitoAyako NagumoHitoshi IshiiMasako WakiHisao OgawaHirofumi SoejimaMasafumi NakayamaHideaki Jinnouchi
- Topics
- Diabetes Treatment and Management (16 papers)Antiplatelet Therapy and Cardiovascular Diseases (11 papers)Diabetes Management and Research (7 papers)
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Sadanori Okada
48 papers receiving 859 citations
Peers
Comparison fields: 5 of 85
- Cardiology and Cardiovascular Medicine 390
- Endocrinology, Diabetes and Metabolism 303
- Epidemiology 156
- Surgery 144
- Physiology 124
Countries citing papers authored by Sadanori Okada
This map shows the geographic impact of Sadanori Okada'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 Sadanori Okada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadanori Okada more than expected).
Fields of papers citing papers by Sadanori Okada
This network shows the impact of papers produced by Sadanori Okada. 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 Sadanori Okada. The network helps show where Sadanori Okada may publish in the future.
Co-authorship network of co-authors of Sadanori Okada
This figure shows the co-authorship network connecting the top 25 collaborators of Sadanori Okada. A scholar is included among the top collaborators of Sadanori Okada 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 Sadanori Okada. Sadanori Okada is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 14 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | Abstract 15399: The Association of Visit-To-Visit Blood Pressure and Blood Glucose Variability and Incidence of Dementia in Patients With Type 2 Diabetes Mellitus: Insights From the Jpad2 Cohort Study | 1 |
| 9 | 22 | |
| 10 | 89 | |
| 11 | 4 | |
| 12 | 11 | |
| 13 | 11 | |
| 14 | 23 | |
| 15 | 0 | |
| 16 | 26 | |
| 17 | 104 | |
| 18 | 20 | |
| 19 | 39 | |
| 20 | 14 |
About Sadanori Okada
Sadanori Okada is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Nephrology, having authored 50 papers that have together received 887 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (16 papers), Antiplatelet Therapy and Cardiovascular Diseases (11 papers) and Diabetes Management and Research (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (303 citations), Cardiology and Cardiovascular Medicine (390 citations) and Nephrology (61 citations). Sadanori Okada has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Yoshihiko Saito, Ayako Nagumo, Hitoshi Ishii, Masako Waki, Hisao Ogawa, Hirofumi Soejima, Masafumi Nakayama, Hideaki Jinnouchi, Takeshi Morimoto and Naofumi Doi. Their work appears in journals such as Circulation, PLoS ONE 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.