Masaya Sakamoto
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Surgery
- Physiology top 10%
- Co-authors
- Yosuke KayamaKazunori UtsunomiyaHirofumi SuzukiIssei KomuroHaruhiro TokoTohru MinaminoYunzeng ZouNorihiko Takeda
- Topics
- Diabetes Treatment and Management (10 papers)Diabetes Management and Research (8 papers)Cardiovascular Function and Risk Factors (6 papers)
- Partner nations
- JapanUnited StatesAustralia
In The Last Decade
Masaya Sakamoto
51 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 612
- Cardiology and Cardiovascular Medicine 583
- Endocrinology, Diabetes and Metabolism 519
- Surgery 258
- Physiology 221
Countries citing papers authored by Masaya Sakamoto
This map shows the geographic impact of Masaya Sakamoto'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 Masaya Sakamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masaya Sakamoto more than expected).
Fields of papers citing papers by Masaya Sakamoto
This network shows the impact of papers produced by Masaya Sakamoto. 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 Masaya Sakamoto. The network helps show where Masaya Sakamoto may publish in the future.
Co-authorship network of co-authors of Masaya Sakamoto
This figure shows the co-authorship network connecting the top 25 collaborators of Masaya Sakamoto. A scholar is included among the top collaborators of Masaya Sakamoto 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 Masaya Sakamoto. Masaya Sakamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | A Consideration on Estimation of Lung Cancer Position using Tweezers-types of Electrodes at High Frequency bands | 1 |
| 3 | 117 | |
| 4 | 39 | |
| 5 | 20 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 11 | |
| 9 | 18 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 67 | |
| 13 | 19 | |
| 14 | 128 | |
| 15 | 12 | |
| 16 | 18 | |
| 17 | Application of Rear Head Airbag to Mitigate Rear Impact Injuries | 1 |
| 18 | 38 | |
| 19 | 100 | |
| 20 | 4 |
About Masaya Sakamoto
Masaya Sakamoto is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Cardiology and Cardiovascular Medicine, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (10 papers), Diabetes Management and Research (8 papers) and Cardiovascular Function and Risk Factors (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (519 citations), Cardiology and Cardiovascular Medicine (583 citations) and Biochemistry (99 citations). Masaya Sakamoto has collaborated with scholars based in Japan, United States and Australia. Frequent co-authors include Yosuke Kayama, Kazunori Utsunomiya, Hirofumi Suzuki, Issei Komuro, Haruhiro Toko, Tohru Minamino, Yunzeng Zou, Norihiko Takeda, Joshua M. Spin and Uwe Raaz. Their work appears in journals such as Journal of Biological Chemistry, Circulation and The Journal of Experimental 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.