Yuko Kawai
- Physiology top 0.5%
- Epidemiology top 2%
- Rehabilitation top 0.2%
- Cardiology and Cardiovascular Medicine top 2%
- Cell Biology top 2%
- Co-authors
- Takeshi YoneshiroMasayuki SaitoToshimitsu KameyaMami MatsushitaToshihiko IwanagaSayuri AitaKunihiro NakadaMasayuki Tsujisaki
- Topics
- Cardiac Imaging and Diagnostics (10 papers)Adipose Tissue and Metabolism (9 papers)Advanced MRI Techniques and Applications (7 papers)
- Journals
- Journal of Clinical InvestigationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- JapanUnited StatesGermany
In The Last Decade
Yuko Kawai
67 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Physiology 3.3k
- Epidemiology 1.3k
- Rehabilitation 1.1k
- Cardiology and Cardiovascular Medicine 1.0k
- Cell Biology 604
Countries citing papers authored by Yuko Kawai
This map shows the geographic impact of Yuko Kawai'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 Yuko Kawai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Kawai more than expected).
Fields of papers citing papers by Yuko Kawai
This network shows the impact of papers produced by Yuko Kawai. 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 Yuko Kawai. The network helps show where Yuko Kawai may publish in the future.
Co-authorship network of co-authors of Yuko Kawai
This figure shows the co-authorship network connecting the top 25 collaborators of Yuko Kawai. A scholar is included among the top collaborators of Yuko Kawai 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 Yuko Kawai. Yuko Kawai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | Recruited brown adipose tissue as an antiobesity agent in humansbreakdown → | 755 |
| 6 | 5 | |
| 7 | 64 | |
| 8 | 132 | |
| 9 | 8 | |
| 10 | 221 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 58 | |
| 14 | 85 | |
| 15 | High Incidence of Metabolically Active Brown Adipose Tissue in Healthy Adult Humansbreakdown → | 1523 |
| 16 | 19 | |
| 17 | 108 | |
| 18 | 53 | |
| 19 | 95 | |
| 20 | 7 |
About Yuko Kawai
Yuko Kawai is a scholar working on Urology, Radiology, Nuclear Medicine and Imaging and Rehabilitation, having authored 68 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cardiac Imaging and Diagnostics (10 papers), Adipose Tissue and Metabolism (9 papers) and Advanced MRI Techniques and Applications (7 papers). The work is most often cited by research in Rehabilitation (1.1k citations), Physiology (3.3k citations) and Cardiology and Cardiovascular Medicine (1.0k citations). Yuko Kawai has collaborated with scholars based in Japan, United States and Germany. Frequent co-authors include Takeshi Yoneshiro, Masayuki Saito, Toshimitsu Kameya, Mami Matsushita, Toshihiko Iwanaga, Sayuri Aita, Kunihiro Nakada, Masayuki Tsujisaki, Masao Miyagawa and Yuko Okamatsu‐Ogura. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.