K. Hayase
Impact in
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
Papers in
-
- Metabolism and Genetic Disorders 22
- Biochemistry 17
- Amino Acid Enzymes and Metabolism 16
- Co-authors
- Hidehiko YokogoshiAkira YoshidaKenji HorieMiyuki TanakaSatoshi OkuyamaTakahiro ShimadaY. MaejimaYuji Yagi
- Journals
- Journal of Nutrition (12 papers)Bioscience Biotechnology and Biochemistry (9 papers)Amino Acids (4 papers)Journal of Agricultural and Food Chemistry (2 papers)Plasma Physics and Controlled Fusion (2 papers)
- Partner nations
- JapanNetherlandsSingapore
In The Last Decade
K. Hayase
60 papers receiving 534 citations
Peers
Comparison fields: 5 of 85
- Clinical Biochemistry 114
- Biochemistry 95
- Cell Biology 150
- Physiology 198
- Nuclear and High Energy Physics 94
Countries citing papers authored by K. Hayase
This map shows the geographic impact of K. Hayase'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 K. Hayase with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Hayase more than expected).
Fields of papers citing papers by K. Hayase
This network shows the impact of papers produced by K. Hayase. 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 K. Hayase. The network helps show where K. Hayase may publish in the future.
Co-authors
The 25 scholars most cited alongside K. Hayase, 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 | 2013 | 5 | |
| 2 | 2012 | 11 | |
| 3 | 2010 | 6 | |
| 4 | 2009 | 29 | |
| 5 | 2008 | 6 | |
| 6 | 2006 | 6 | |
| 7 | 2005 | 7 | |
| 8 | 2004 | 4 | |
| 9 | 2004 | 2 | |
| 10 | 2002 | 6 | |
| 11 | 1998 | 6 | |
| 12 | 1997 | 2 | |
| 13 | 1995 | 4 | |
| 14 | 1994 | 27 | |
| 15 | 1992 | 6 | |
| 16 | 1992 | 13 | |
| 17 | 1992 | 46 | |
| 18 | 1991 | 15 | |
| 19 | Effect of dietary quality of protein on turnover of tissue proteins in rats. | 1980 | 3 |
| 20 | Experimental and computational studies of high-beta tokamaks and reversed-field pinches | 1979 | 1 |
About K. Hayase
K. Hayase is a scholar working on Clinical Biochemistry, Biochemistry, Cell Biology, Physiology and Nuclear and High Energy Physics, having authored 63 papers that have together received 557 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (22 papers), Muscle metabolism and nutrition (22 papers), Amino Acid Enzymes and Metabolism (16 papers), Diet and metabolism studies (14 papers), Magnetic confinement fusion research (9 papers), Biochemical Analysis and Sensing Techniques (8 papers), Folate and B Vitamins Research (7 papers) and Biochemical effects in animals (6 papers). The work is most often cited by research in Clinical Biochemistry (114 citations), Biochemistry (95 citations), Cell Biology (150 citations), Physiology (198 citations) and Nuclear and High Energy Physics (94 citations). K. Hayase has collaborated with scholars based in Japan, Netherlands and Singapore. Frequent co-authors include Hidehiko Yokogoshi, Akira Yoshida, Kenji Horie, Miyuki Tanaka, Satoshi Okuyama, Takahiro Shimada, Y. Maejima, Yuji Yagi, Y. Sato and Y. Hirano. Their work appears in journals such as Journal of Nutrition, Bioscience Biotechnology and Biochemistry, Amino Acids, Journal of Agricultural and Food Chemistry and Plasma Physics and Controlled Fusion.
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.