Yuri Uesaka
- Education top 10%
- Developmental and Educational Psychology top 10%
- Endocrinology top 5%
- Experimental and Cognitive Psychology top 10%
- Immunology
- Co-authors
- Emmanuel ManaloShinichi IchikawaG. Balakrish NairHidekazu SHIRAITae TakedaThandavarayan RamamurthySujit BhattacharyaG B Nair
- Topics
- Innovative Teaching and Learning Methods (14 papers)Visual and Cognitive Learning Processes (9 papers)Mathematics Education and Teaching Techniques (8 papers)
- Partner nations
- JapanNew ZealandIndia
In The Last Decade
Yuri Uesaka
31 papers receiving 269 citations
Peers
Comparison fields: 5 of 75
- Education 118
- Developmental and Educational Psychology 83
- Endocrinology 77
- Experimental and Cognitive Psychology 70
- Immunology 42
Countries citing papers authored by Yuri Uesaka
This map shows the geographic impact of Yuri Uesaka'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 Yuri Uesaka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuri Uesaka more than expected).
Fields of papers citing papers by Yuri Uesaka
This network shows the impact of papers produced by Yuri Uesaka. 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 Yuri Uesaka. The network helps show where Yuri Uesaka may publish in the future.
Co-authorship network of co-authors of Yuri Uesaka
This figure shows the co-authorship network connecting the top 25 collaborators of Yuri Uesaka. A scholar is included among the top collaborators of Yuri Uesaka 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 Yuri Uesaka. Yuri Uesaka 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 5 | |
| 12 | 2 | |
| 13 | 5 | |
| 14 | 9 | |
| 15 | The Effects of Peer Communication with Diagrams on Students’ Math Word Problem Solving Processes and Outcomes | 2 |
| 16 | 2 | |
| 17 | Peer Instruction as a Way of Promoting Spontaneous Use of Diagrams When Solving Math Word Problems | 8 |
| 18 | 63 | |
| 19 | Quantity and Quality of Diagrams Used in Math Word Problem Solving: A Comparison between New Zealand and Japanese Students. | 3 |
| 20 | 1 |
About Yuri Uesaka
Yuri Uesaka is a scholar working on Developmental and Educational Psychology, Experimental and Cognitive Psychology and Endocrinology, having authored 35 papers that have together received 290 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (14 papers), Visual and Cognitive Learning Processes (9 papers) and Mathematics Education and Teaching Techniques (8 papers). The work is most often cited by research in Endocrinology (77 citations), Developmental and Educational Psychology (83 citations) and Experimental and Cognitive Psychology (70 citations). Yuri Uesaka has collaborated with scholars based in Japan, New Zealand and India. Frequent co-authors include Emmanuel Manalo, Shinichi Ichikawa, G. Balakrish Nair, Hidekazu SHIRAI, Tae Takeda, Thandavarayan Ramamurthy, Sujit Bhattacharya, G B Nair, Sangita Pal and Youhei Takeda. Their work appears in journals such as Journal of Clinical Microbiology, Frontiers in Psychology and Cognitive Science.
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.