Akira Yamamoto
- Molecular Biology top 1%
- Surgery top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Physiology top 1%
- Cardiology and Cardiovascular Medicine top 1%
- Co-authors
- George RouserSidney FleischerYutaka TashiroTamotsu YoshimoriYoshinori MoriyamaMasamitsu FutaiTaku YamamuraShinji Yokoyama
- Topics
- Lipoproteins and Cardiovascular Health (72 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (45 papers)Cancer, Lipids, and Metabolism (38 papers)
- Partner nations
- JapanUnited StatesUnited Kingdom
In The Last Decade
Akira Yamamoto
316 papers receiving 12.6k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Molecular Biology 5.2k
- Surgery 3.6k
- Endocrinology, Diabetes and Metabolism 2.0k
- Physiology 1.6k
- Cardiology and Cardiovascular Medicine 1.4k
Countries citing papers authored by Akira Yamamoto
This map shows the geographic impact of Akira Yamamoto'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 Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Akira Yamamoto more than expected).
Fields of papers citing papers by Akira Yamamoto
This network shows the impact of papers produced by Akira Yamamoto. 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 Yamamoto. The network helps show where Akira Yamamoto may publish in the future.
Co-authorship network of co-authors of Akira Yamamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Akira Yamamoto. A scholar is included among the top collaborators of Akira Yamamoto 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 Yamamoto. Akira Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | Visualization of Lenticulostriate Artery by MR Angiography -- Sparse Sampling Rates and Compressed Sensing Reconstruction | 1 |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | Analysis of Size Distribution and Chemical Composition of Oxides in Steel by Optical Emission Spectroscopy | 1 |
| 10 | 9 | |
| 11 | 27 | |
| 12 | 1 | |
| 13 | 4 | |
| 14 | 18 | |
| 15 | 4 | |
| 16 | 46 | |
| 17 | 3 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | 1 |
About Akira Yamamoto
Akira Yamamoto is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Biochemistry, having authored 335 papers that have together received 13.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (72 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (45 papers) and Cancer, Lipids, and Metabolism (38 papers). The work is most often cited by research in Biochemistry (992 citations), Endocrinology, Diabetes and Metabolism (2.0k citations) and Surgery (3.6k citations). Akira Yamamoto has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include George Rouser, Sidney Fleischer, Yutaka Tashiro, Tamotsu Yoshimori, Yoshinori Moriyama, Masamitsu Futai, Taku Yamamura, Shinji Yokoyama, Yūji Matsuzawa and Shoji Tajima. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Lancet and Nucleic Acids Research.
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.