Yuji Sato
- Molecular Biology
- Pharmacology top 5%
- Strategy and Management top 10%
- Management Science and Operations Research top 10%
- Management Information Systems top 10%
- Co-authors
- Kim Hua TanTeruaki AkaoTadato TaniYing Kei TseJu-Xiu HeKeiji UchikawaTakayuki AsanoTakashi Morota
- Topics
- Multi-Criteria Decision Making (7 papers)Growth Hormone and Insulin-like Growth Factors (4 papers)Sustainable Supply Chain Management (4 papers)
- Partner nations
- JapanUnited KingdomUnited States
In The Last Decade
Yuji Sato
37 papers receiving 518 citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 116
- Pharmacology 116
- Strategy and Management 74
- Management Science and Operations Research 54
- Management Information Systems 51
Countries citing papers authored by Yuji Sato
This map shows the geographic impact of Yuji Sato'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 Yuji Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Sato more than expected).
Fields of papers citing papers by Yuji Sato
This network shows the impact of papers produced by Yuji Sato. 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 Yuji Sato. The network helps show where Yuji Sato may publish in the future.
Co-authorship network of co-authors of Yuji Sato
This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Sato. A scholar is included among the top collaborators of Yuji Sato 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 Yuji Sato. Yuji Sato 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 28 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 24 | |
| 10 | Educational Effect of PBL Tutorial Which was Partially Introduced into an Integrated Course | 1 |
| 11 | 1 | |
| 12 | 2 | |
| 13 | 54 | |
| 14 | 12 | |
| 15 | 2 | |
| 16 | 3 | |
| 17 | 26 | |
| 18 | 51 | |
| 19 | 0 | |
| 20 | [Study of hormone replacement therapy following total thyroidectomy in thyroid cancer--with special reference to the analysis of thyroid hormone peripheral effects, using indirect calorimetry]. | 1 |
About Yuji Sato
Yuji Sato is a scholar working on Pharmacology, Management Science and Operations Research and Management Information Systems, having authored 43 papers that have together received 554 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (7 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Sustainable Supply Chain Management (4 papers). The work is most often cited by research in Pharmacology (116 citations), Management Information Systems (51 citations) and Strategy and Management (74 citations). Yuji Sato has collaborated with scholars based in Japan, United Kingdom and United States. Frequent co-authors include Kim Hua Tan, Teruaki Akao, Tadato Tani, Ying Kei Tse, Ju-Xiu He, Keiji Uchikawa, Takayuki Asano, Takashi Morota, Akira Matsubara and Yasushi Kuraishi. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and Endocrinology.
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.