Yosuke Okuno
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in
-
- Peroxisome Proliferator-Activated Receptors 4
- Epigenetics and DNA Methylation 4
- Cancer-related gene regulation 2
- Physiology 11
- Adipose Tissue and Metabolism 10
- Co-authors
- Iichiro Shimomura (21 shared papers)Atsunori Fukuhara (17 shared papers)Morihiro Matsuda (7 shared papers)Michio Otsuki (12 shared papers)Ryutaro Komuro (5 shared papers)Yuuki Imai (4 shared papers)Hironori Kobayashi (3 shared papers)Shigeaki Kato (3 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (5 papers)Journal of Endocrinology (3 papers)Diabetes (2 papers)Scientific Reports (2 papers)Nature Communications (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Yosuke Okuno
27 papers receiving 859 citations
Peers
Comparison fields: 5 of 86
- Physiology 270
- Endocrinology, Diabetes and Metabolism 97
- Molecular Biology 427
- Geriatrics and Gerontology 19
- Epidemiology 163
Countries citing papers authored by Yosuke Okuno
This map shows the geographic impact of Yosuke Okuno'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 Yosuke Okuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yosuke Okuno more than expected).
Fields of papers citing papers by Yosuke Okuno
This network shows the impact of papers produced by Yosuke Okuno. 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 Yosuke Okuno. The network helps show where Yosuke Okuno may publish in the future.
Co-authors
The 25 scholars most cited alongside Yosuke Okuno, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 149 | |
| 2 | 2018 | 101 | |
| 3 | 2010 | 100 | |
| 4 | 2006 | 87 | |
| 5 | 2007 | 59 | |
| 6 | 2012 | 53 | |
| 7 | 2018 | 53 | |
| 8 | 2007 | 40 | |
| 9 | 2009 | 30 | |
| 10 | 2010 | 29 | |
| 11 | 2007 | 23 | |
| 12 | 2022 | 22 | |
| 13 | 2018 | 19 | |
| 14 | 2008 | 17 | |
| 15 | 2018 | 14 | |
| 16 | 2013 | 14 | |
| 17 | 2019 | 14 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2021 | 10 |
About Yosuke Okuno
Yosuke Okuno is a scholar working on Molecular Biology, Physiology, Surgery, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 29 papers that have together received 871 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (10 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Epigenetics and DNA Methylation (4 papers), Adrenal Hormones and Disorders (3 papers), Adrenal and Paraganglionic Tumors (3 papers), Cancer-related gene regulation (2 papers) and Hormonal Regulation and Hypertension (2 papers). The work is most often cited by research in Physiology (270 citations), Endocrinology, Diabetes and Metabolism (97 citations), Molecular Biology (427 citations), Geriatrics and Gerontology (19 citations) and Epidemiology (163 citations). Yosuke Okuno has collaborated with scholars based in Japan and United States. Frequent co-authors include Iichiro Shimomura, Atsunori Fukuhara, Morihiro Matsuda, Michio Otsuki, Ryutaro Komuro, Yuuki Imai, Hironori Kobayashi, Shigeaki Kato, Michio Shimabukuro and Fumiaki Ohtake. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Endocrinology, Diabetes, Scientific Reports and Nature Communications.
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.