Akira Okuno
- Molecular Biology top 10%
- Physiology top 5%
- Epidemiology top 10%
- Endocrinology, Diabetes and Metabolism top 5%
- Biochemistry top 2%
- Co-authors
- Hiroyoshi HorikoshiTakuya FujiwaraY. AkanumaYusaku MoriKazuhiko UmesonoY YazakiK IwamotoTakashi Kadowaki
- Topics
- Metabolism, Diabetes, and Cancer (8 papers)Pancreatic function and diabetes (6 papers)Metabolism and Genetic Disorders (4 papers)
- Partner nations
- JapanGermanyUnited States
In The Last Decade
Akira Okuno
31 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Molecular Biology 971
- Physiology 646
- Epidemiology 427
- Endocrinology, Diabetes and Metabolism 291
- Biochemistry 222
Countries citing papers authored by Akira Okuno
This map shows the geographic impact of Akira 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 Akira Okuno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Okuno more than expected).
Fields of papers citing papers by Akira Okuno
This network shows the impact of papers produced by Akira 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 Akira Okuno. The network helps show where Akira Okuno may publish in the future.
Co-authorship network of co-authors of Akira Okuno
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Okuno. A scholar is included among the top collaborators of Akira Okuno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Akira Okuno. Akira Okuno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 9 | |
| 6 | 24 | |
| 7 | Impact evaluation of Argo data for the reproducibility of FRA-JCOPE | 1 |
| 8 | 18 | |
| 9 | 1 | |
| 10 | 121 | |
| 11 | 4 | |
| 12 | 8 | |
| 13 | Troglitazone increases the number of small adipocytes without the change of white adipose tissue mass in obese Zucker rats.breakdown → | 875 |
| 14 | 26 | |
| 15 | 22 | |
| 16 | 88 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | Pharmacokinetics of propylthiouracil in children and adolescents with Graves disease after a single oral dose. | 8 |
| 20 | Hypoelectrolytemia from sodium depletion during sweating in an infant. | 2 |
About Akira Okuno
Akira Okuno is a scholar working on Biochemistry, Clinical Biochemistry and Biological Psychiatry, having authored 31 papers that have together received 1.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (8 papers), Pancreatic function and diabetes (6 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Biochemistry (222 citations), Biological Psychiatry (65 citations) and Physiology (646 citations). Akira Okuno has collaborated with scholars based in Japan, Germany and United States. Frequent co-authors include Hiroyoshi Horikoshi, Takuya Fujiwara, Y. Akanuma, Yusaku Mori, Kazuhiko Umesono, Y Yazaki, K Iwamoto, Takashi Kadowaki, Kohjiro Ueki and Hiroyuki Tamemoto. Their work appears in journals such as Journal of Clinical Investigation, Analytical Chemistry and Diabetes.
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.