Masayuki Saito
- Physiology top 0.1%
- Epidemiology top 0.5%
- Molecular Biology top 5%
- Rehabilitation top 0.05%
- Endocrine and Autonomic Systems top 0.2%
- Co-authors
- Takeshi YoneshiroMami MatsushitaToshimitsu KameyaYuko KawaiYuko Okamatsu‐OguraToshihiko IwanagaSayuri AitaKazuhiro Kimura
- Topics
- Adipose Tissue and Metabolism (122 papers)Adipokines, Inflammation, and Metabolic Diseases (44 papers)Regulation of Appetite and Obesity (39 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryJournal of Clinical Investigation
- Partner nations
- JapanUnited StatesNetherlands
In The Last Decade
Masayuki Saito
245 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Physiology 7.8k
- Epidemiology 3.0k
- Molecular Biology 2.0k
- Rehabilitation 2.0k
- Endocrine and Autonomic Systems 1.8k
Countries citing papers authored by Masayuki Saito
This map shows the geographic impact of Masayuki Saito'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 Masayuki Saito with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Masayuki Saito more than expected).
Fields of papers citing papers by Masayuki Saito
This network shows the impact of papers produced by Masayuki Saito. 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 Masayuki Saito. The network helps show where Masayuki Saito may publish in the future.
Co-authorship network of co-authors of Masayuki Saito
This figure shows the co-authorship network connecting the top 25 collaborators of Masayuki Saito. A scholar is included among the top collaborators of Masayuki Saito 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 Masayuki Saito. Masayuki Saito is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 17 | |
| 3 | 9 | |
| 4 | 17 | |
| 5 | 7 | |
| 6 | 34 | |
| 7 | 107 | |
| 8 | 58 | |
| 9 | Recruited brown adipose tissue as an antiobesity agent in humansbreakdown → | 755 |
| 10 | 132 | |
| 11 | Human brown adipose tissue evaluated by FDG-PET : activation by cold exposure | 4 |
| 12 | 5 | |
| 13 | 21 | |
| 14 | 13 | |
| 15 | 21 | |
| 16 | 11 | |
| 17 | 77 | |
| 18 | 3 | |
| 19 | 11 | |
| 20 | 67 |
About Masayuki Saito
Masayuki Saito is a scholar working on Endocrine and Autonomic Systems, Physiology and Rehabilitation, having authored 247 papers that have together received 11.5k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (122 papers), Adipokines, Inflammation, and Metabolic Diseases (44 papers) and Regulation of Appetite and Obesity (39 papers). The work is most often cited by research in Physiology (7.8k citations), Rehabilitation (2.0k citations) and Endocrine and Autonomic Systems (1.8k citations). Masayuki Saito has collaborated with scholars based in Japan, United States and Netherlands. Frequent co-authors include Takeshi Yoneshiro, Mami Matsushita, Toshimitsu Kameya, Yuko Kawai, Yuko Okamatsu‐Ogura, Toshihiko Iwanaga, Sayuri Aita, Kazuhiro Kimura, Kunihiro Nakada and Masayuki Tsujisaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.