Sayaka Kadowaki
- Cardiology and Cardiovascular Medicine top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Physiology
- Surgery
- Co-authors
- Aya KadotaHirotsugu UeshimaAkira FujiyoshiKatsuyuki MiuraTakashi HisamatsuAkira SekikawaTakashi KadowakiTomonori Okamura
- Topics
- Cardiovascular Disease and Adiposity (13 papers)Cardiac Imaging and Diagnostics (11 papers)Cardiovascular Function and Risk Factors (8 papers)
- Cited by
- Cardiology and Cardiovascular MedicineEndocrinology, Diabetes and MetabolismNutrition and Dietetics
- Journals
- American Journal of Clinical NutritionAmerican Journal of EpidemiologyEuropean Heart Journal
- Partner nations
- JapanUnited StatesSouth Korea
In The Last Decade
Sayaka Kadowaki
39 papers receiving 637 citations
Peers
Comparison fields: 5 of 70
- Cardiology and Cardiovascular Medicine 292
- Endocrinology, Diabetes and Metabolism 146
- Epidemiology 136
- Physiology 122
- Surgery 119
Countries citing papers authored by Sayaka Kadowaki
This map shows the geographic impact of Sayaka Kadowaki'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 Sayaka Kadowaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sayaka Kadowaki more than expected).
Fields of papers citing papers by Sayaka Kadowaki
This network shows the impact of papers produced by Sayaka Kadowaki. 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 Sayaka Kadowaki. The network helps show where Sayaka Kadowaki may publish in the future.
Co-authorship network of co-authors of Sayaka Kadowaki
This figure shows the co-authorship network connecting the top 25 collaborators of Sayaka Kadowaki. A scholar is included among the top collaborators of Sayaka Kadowaki 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 Sayaka Kadowaki. Sayaka Kadowaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 33 | |
| 10 | 23 | |
| 11 | 17 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | 33 | |
| 15 | 19 | |
| 16 | 46 | |
| 17 | 36 | |
| 18 | 18 | |
| 19 | 32 | |
| 20 | 59 |
About Sayaka Kadowaki
Sayaka Kadowaki is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Nutrition and Dietetics, having authored 40 papers that have together received 650 indexed citations. Recurring topics across this work include Cardiovascular Disease and Adiposity (13 papers), Cardiac Imaging and Diagnostics (11 papers) and Cardiovascular Function and Risk Factors (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (292 citations), Endocrinology, Diabetes and Metabolism (146 citations) and Nutrition and Dietetics (102 citations). Sayaka Kadowaki has collaborated with scholars based in Japan, United States and South Korea. Frequent co-authors include Aya Kadota, Hirotsugu Ueshima, Akira Fujiyoshi, Katsuyuki Miura, Takashi Hisamatsu, Akira Sekikawa, Takashi Kadowaki, Tomonori Okamura, Hiroshi Maegawa and Maryam Zaid. Their work appears in journals such as American Journal of Clinical Nutrition, American Journal of Epidemiology and European Heart Journal.
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.