R.R. Matsuo
- Plant Science top 5%
- Nutrition and Dietetics top 1%
- Food Science top 5%
- Agronomy and Crop Science top 5%
- Gastroenterology top 5%
- Co-authors
- J.E. DexterJ. E. DexterJ. E. KrugerK.R. PrestonLinda MalcolmsonB. A. MarchyloD. LeisleA. W. MacGregor
- Topics
- Food composition and properties (13 papers)Wheat and Barley Genetics and Pathology (6 papers)Phytase and its Applications (3 papers)
- Partner nations
- Canada
In The Last Decade
R.R. Matsuo
30 papers receiving 947 citations
Peers
Comparison fields: 5 of 67
- Plant Science 671
- Nutrition and Dietetics 595
- Food Science 313
- Agronomy and Crop Science 142
- Gastroenterology 68
Countries citing papers authored by R.R. Matsuo
This map shows the geographic impact of R.R. Matsuo'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 R.R. Matsuo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R.R. Matsuo more than expected).
Fields of papers citing papers by R.R. Matsuo
This network shows the impact of papers produced by R.R. Matsuo. 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 R.R. Matsuo. The network helps show where R.R. Matsuo may publish in the future.
Co-authorship network of co-authors of R.R. Matsuo
This figure shows the co-authorship network connecting the top 25 collaborators of R.R. Matsuo. A scholar is included among the top collaborators of R.R. Matsuo 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 R.R. Matsuo. R.R. Matsuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | A colorimetric method for estimating spaghetti cooking losses | 25 |
| 2 | 9 | |
| 3 | 82 | |
| 4 | The spaghetti-making quality of commercial durum wheat samples with variable α-amylase activity | 54 |
| 5 | The relationship of durum wheat test weight to milling performance and spaghetti quality | 27 |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 63 | |
| 9 | 35 | |
| 10 | 71 | |
| 11 | Starch degradation in endosperms of barley and wheat kernels during initial stages of germination | 23 |
| 12 | 15 | |
| 13 | 5 | |
| 14 | 33 | |
| 15 | 56 | |
| 16 | 82 | |
| 17 | 90 | |
| 18 | 15 | |
| 19 | 5 | |
| 20 | 6 |
About R.R. Matsuo
R.R. Matsuo is a scholar working on Nutrition and Dietetics, Biotechnology and Gastroenterology, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Food composition and properties (13 papers), Wheat and Barley Genetics and Pathology (6 papers) and Phytase and its Applications (3 papers). The work is most often cited by research in Nutrition and Dietetics (595 citations), Plant Science (671 citations) and Food Science (313 citations). R.R. Matsuo has collaborated with scholars based in Canada. Frequent co-authors include J.E. Dexter, J. E. Dexter, J. E. Kruger, K.R. Preston, Linda Malcolmson, B. A. Marchylo, D. Leisle, A. W. MacGregor, Don Gaba and T. W. Nowicki. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Journal of Food Science and Journal of Cereal 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.