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
- Muscle Physiology and Disorders 2
- RNA Research and Splicing 2
- FOXO transcription factor regulation 1
- 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)T. Hata (1 shared paper)Miki Suzuki (1 shared paper)Junichiro Matsuda (2 shared papers)Junko Mizukami (1 shared paper)
- Journals
- Biochemical and Biophysical Research Communications (3 papers)American Journal of Physiology-Endocrinology and Metabolism (3 papers)Endocrinology (2 papers)Journal of Biological Chemistry (2 papers)American Journal Of Pathology (1 paper)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Yuko Kai
13 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 76
- Physiology 840
- Aging 54
- Rehabilitation 161
- Geriatrics and Gerontology 72
- Cell Biology 226
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 | 488 | |
| 2 | 2007 | 155 | |
| 3 | 2011 | 135 | |
| 4 | 2003 | 130 | |
| 5 | 2008 | 129 | |
| 6 | 2010 | 98 | |
| 7 | 2006 | 86 | |
| 8 | 2002 | 74 | |
| 9 | 2008 | 41 | |
| 10 | 2013 | 20 | |
| 11 | 2004 | 12 | |
| 12 | 2003 | 9 | |
| 13 | 2021 | 3 |
About Yuko Kai
Yuko Kai is a scholar working on Molecular Biology, Physiology, Surgery, Cardiology and Cardiovascular Medicine and Rehabilitation, 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), Muscle Physiology and Disorders (2 papers), Pancreatic function and diabetes (2 papers), RNA Research and Splicing (2 papers), Muscle metabolism and nutrition (1 paper) and FOXO transcription factor regulation (1 paper). The work is most often cited by research in Physiology (840 citations), Aging (54 citations), Rehabilitation (161 citations), Geriatrics and Gerontology (72 citations) and Cell Biology (226 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, T. Hata, Miki Suzuki, Junichiro Matsuda, Junko Mizukami, Hiroyuki Aburatani and Tomoyasu Taniguchi. Their work appears in journals such as Biochemical and Biophysical Research Communications, American Journal of Physiology-Endocrinology and Metabolism, Endocrinology, Journal of Biological Chemistry and American Journal Of Pathology.
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.