Yasuyuki Kitaura
- Cell Biology top 5%
- Muscle metabolism and nutrition 15
- Cancer Research top 5%
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders 11
- Molecular Biology top 10%
- Gut microbiota and health 6
- Physiology top 5%
- Adipose Tissue and Metabolism 13
- Diet and metabolism studies 11
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- Diet, Metabolism, and Disease 8
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- Microbial Metabolites in Food Biotechnology 7
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- Amino Acid Enzymes and Metabolism 5
- Co-authors
- Yoshiharu ShimomuraMasatoshi MakiH. SatohKiyotaka HitomiHua GuHideki ShibataRiccardo Dalla‐FaveraLaura Pasqualucci
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of Biological Chemistry (2 papers)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Yasuyuki Kitaura
60 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 114
- Cell Biology 402
- Cancer Research 323
- Clinical Biochemistry 118
- Molecular Biology 1.2k
- Physiology 402
Countries citing papers authored by Yasuyuki Kitaura
This map shows the geographic impact of Yasuyuki Kitaura'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 Yasuyuki Kitaura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuyuki Kitaura more than expected).
Fields of papers citing papers by Yasuyuki Kitaura
This network shows the impact of papers produced by Yasuyuki Kitaura. 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 Yasuyuki Kitaura. The network helps show where Yasuyuki Kitaura may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yasuyuki Kitaura, 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 | 2025 | 3 | |
| 2 | 2025 | 1 | |
| 3 | 2022 | 22 | |
| 4 | 2020 | 19 | |
| 5 | 2019 | 19 | |
| 6 | 2018 | 10 | |
| 7 | 2017 | 23 | |
| 8 | 2015 | 1 | |
| 9 | 2014 | 39 | |
| 10 | 2014 | 30 | |
| 11 | 2014 | 89 | |
| 12 | 2013 | 24 | |
| 13 | 2010 | 36 | |
| 14 | 2009 | 37 | |
| 15 | 2007 | 93 | |
| 16 | 2002 | 151 | |
| 17 | 2002 | 26 | |
| 18 | 2001 | 67 | |
| 19 | 1999 | 31 | |
| 20 | 1998 | 53 |
About Yasuyuki Kitaura
Yasuyuki Kitaura is a scholar working on Clinical Biochemistry, Cell Biology and Biochemistry, having authored 62 papers that have together received 2.0k indexed citations. Recurring topics across this work include Muscle metabolism and nutrition (15 papers), Adipose Tissue and Metabolism (13 papers), Metabolism and Genetic Disorders (11 papers), Diet and metabolism studies (11 papers), Diet, Metabolism, and Disease (8 papers), Microbial Metabolites in Food Biotechnology (7 papers), Gut microbiota and health (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Cell Biology (402 citations), Cancer Research (323 citations) and Clinical Biochemistry (118 citations). Yasuyuki Kitaura has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Yoshiharu Shimomura, Masatoshi Maki, H. Satoh, Kiyotaka Hitomi, Hua Gu, Hideki Shibata, Riccardo Dalla‐Favera, Laura Pasqualucci, Yoshihiro Kadota and Tsutomu Arakawa. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry 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.