Yasuo Akanuma
- Molecular Biology top 2%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Surgery top 2%
- Epidemiology top 5%
- Co-authors
- Takashi KadowakiKazuyuki TobeYoshio YazakiToshimasa YamauchiYasuo TerauchiToshikazu YamanouchiSatoshi KimuraNobuhiro Yamada
- Topics
- Metabolism, Diabetes, and Cancer (44 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (28 papers)Pancreatic function and diabetes (28 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Yasuo Akanuma
140 papers receiving 6.9k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Molecular Biology 3.8k
- Endocrinology, Diabetes and Metabolism 2.1k
- Physiology 1.8k
- Surgery 1.8k
- Epidemiology 902
Countries citing papers authored by Yasuo Akanuma
This map shows the geographic impact of Yasuo Akanuma'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 Yasuo Akanuma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yasuo Akanuma more than expected).
Fields of papers citing papers by Yasuo Akanuma
This network shows the impact of papers produced by Yasuo Akanuma. 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 Yasuo Akanuma. The network helps show where Yasuo Akanuma may publish in the future.
Co-authorship network of co-authors of Yasuo Akanuma
This figure shows the co-authorship network connecting the top 25 collaborators of Yasuo Akanuma. A scholar is included among the top collaborators of Yasuo Akanuma 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 Yasuo Akanuma. Yasuo Akanuma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 65 | |
| 3 | 53 | |
| 4 | 41 | |
| 5 | [Prevalence and incidence of diabetic microangiopathy in Japan]. | 1 |
| 6 | 6 | |
| 7 | 135 | |
| 8 | Comparison between Insulin Aspart and Soluble Human Insulin in Type 1 Diabetes(IDDM) Patients Treated with Basal-Bolus Insulin Therapy : Phase III Clinical Trial in Japan | 9 |
| 9 | 22 | |
| 10 | 23 | |
| 11 | 109 | |
| 12 | 8 | |
| 13 | 3 | |
| 14 | 32 | |
| 15 | 10 | |
| 16 | 124 | |
| 17 | Effect of a New Aldose Reductase Inhibitor, Ponalrestat, on Reduction of Red Blood Cell Sorbitol Level in Diabetics | 2 |
| 18 | 7 | |
| 19 | 77 | |
| 20 | Changes in Serum Levels After Oral Administration | 1 |
About Yasuo Akanuma
Yasuo Akanuma is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 143 papers that have together received 7.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (44 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (28 papers) and Pancreatic function and diabetes (28 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (2.1k citations), Physiology (1.8k citations) and Clinical Biochemistry (474 citations). Yasuo Akanuma has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Takashi Kadowaki, Kazuyuki Tobe, Yoshio Yazaki, Toshimasa Yamauchi, Yasuo Terauchi, Toshikazu Yamanouchi, Satoshi Kimura, Nobuhiro Yamada, Yasuo Ohashi and Yasushi Kaburagi. Their work appears in journals such as Nature, Science and New England Journal of Medicine.
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.