Yuko Kai
Impact in
- Physiology top 2%
- Adipose Tissue and Metabolism
- Aging top 5%
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Peroxisome Proliferator-Activated Receptors 4
- RNA Research and Splicing 2
- Mitochondrial Function and Pathology 2
- Muscle Physiology and Disorders 2
- Physiology 11
- Adipose Tissue and Metabolism 11
- Co-authors
- Osamu Ezaki (13 shared papers)Shinji Miura (13 shared papers)Yasutomi Kamei (6 shared papers)Ichizo Nishino (2 shared papers)Keiji Mochida (2 shared papers)Junichiro Matsuda (2 shared papers)Tomoyasu Taniguchi (1 shared paper)Hiroyuki Aburatani (1 shared paper)
- Journals
- American Journal of Physiology-Endocrinology and Metabolism (3 papers)Biochemical and Biophysical Research Communications (3 papers)Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)PLoS ONE (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yuko Kai
13 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 78
- Physiology 917
- Aging 57
- Rehabilitation 197
- Geriatrics and Gerontology 77
- Cell Biology 256
Countries citing papers authored by Yuko Kai
This map shows the geographic impact of Yuko Kai'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 Kai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuko Kai more than expected).
Fields of papers citing papers by Yuko Kai
This network shows the impact of papers produced by Yuko Kai. 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 Kai. The network helps show where Yuko Kai may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuko Kai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 481 | |
| 2 | 2007 | 154 | |
| 3 | 2011 | 134 | |
| 4 | 2003 | 130 | |
| 5 | 2008 | 128 | |
| 6 | 2010 | 98 | |
| 7 | 2006 | 86 | |
| 8 | 2002 | 74 | |
| 9 | 2008 | 40 | |
| 10 | 2013 | 19 | |
| 11 | 2004 | 12 | |
| 12 | 2003 | 9 | |
| 13 | 2021 | 3 |
About Yuko Kai
Yuko Kai is a scholar working on Molecular Biology, Physiology, Surgery, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 1.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (11 papers), Metabolism, Diabetes, and Cancer (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Pancreatic function and diabetes (2 papers), Muscle metabolism and nutrition (2 papers), RNA Research and Splicing (2 papers), Mitochondrial Function and Pathology (2 papers) and Muscle Physiology and Disorders (2 papers). The work is most often cited by research in Physiology (917 citations), Aging (57 citations), Rehabilitation (197 citations), Geriatrics and Gerontology (77 citations) and Cell Biology (256 citations). Yuko Kai has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Osamu Ezaki, Shinji Miura, Yasutomi Kamei, Ichizo Nishino, Keiji Mochida, Junichiro Matsuda, Tomoyasu Taniguchi, Hiroyuki Aburatani, Junko Mizukami and T. Hata. Their work appears in journals such as American Journal of Physiology-Endocrinology and Metabolism, Biochemical and Biophysical Research Communications, Endocrinology, Journal of Biological Chemistry and PLoS ONE.
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.