Yuji Mukasa
- Food Science top 2%
- Nutrition and Dietetics top 5%
- Plant Science top 10%
- Biochemistry top 5%
- Molecular Biology
- Co-authors
- Tatsuro SuzukiYutaka HondaTakahiro NodaSun‐Ju KimHiroaki YamauchiChie Matsuura‐EndoShigenobu TakigawaNaoto Hashimoto
- Topics
- Seed and Plant Biochemistry (22 papers)Microbial Metabolites in Food Biotechnology (10 papers)Phytochemicals and Antioxidant Activities (8 papers)
- Partner nations
- JapanSouth KoreaIsrael
In The Last Decade
Yuji Mukasa
29 papers receiving 699 citations
Peers
Comparison fields: 5 of 60
- Food Science 535
- Nutrition and Dietetics 340
- Plant Science 297
- Biochemistry 141
- Molecular Biology 126
Countries citing papers authored by Yuji Mukasa
This map shows the geographic impact of Yuji Mukasa'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 Mukasa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuji Mukasa more than expected).
Fields of papers citing papers by Yuji Mukasa
This network shows the impact of papers produced by Yuji Mukasa. 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 Mukasa. The network helps show where Yuji Mukasa may publish in the future.
Co-authorship network of co-authors of Yuji Mukasa
This figure shows the co-authorship network connecting the top 25 collaborators of Yuji Mukasa. A scholar is included among the top collaborators of Yuji Mukasa 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 Mukasa. Yuji Mukasa 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 | 9 | |
| 3 | Studies on new breeding methodologies and variety developments of two buckwheat species (Fagopyrum esculentum Moench and F. tataricum Gaertn.). | 3 |
| 4 | 20 | |
| 5 | 7 | |
| 6 | Lipase, peroxidase activity and lipoxygenase-like protein content during ripening in common buckwheat (Fagopyrum esculentum Moench cv. Kitawasesoba) and Tartary buckwheat (F. tataricum Gaertn cv. Hokkai T8). | 1 |
| 7 | 167 | |
| 8 | 18 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | Structural identification of anthocyanins andanalysis of concentrations during growth andflowering in buckwheat (Fagopyrum esculentumMoench) petals | 0 |
| 12 | 70 | |
| 13 | 21 | |
| 14 | 46 | |
| 15 | 3 | |
| 16 | 15 | |
| 17 | 11 | |
| 18 | 11 | |
| 19 | 12 | |
| 20 | 21 |
About Yuji Mukasa
Yuji Mukasa is a scholar working on Biochemistry, Food Science and Nutrition and Dietetics, having authored 30 papers that have together received 744 indexed citations. Recurring topics across this work include Seed and Plant Biochemistry (22 papers), Microbial Metabolites in Food Biotechnology (10 papers) and Phytochemicals and Antioxidant Activities (8 papers). The work is most often cited by research in Food Science (535 citations), Biochemistry (141 citations) and Nutrition and Dietetics (340 citations). Yuji Mukasa has collaborated with scholars based in Japan, South Korea and Israel. Frequent co-authors include Tatsuro Suzuki, Yutaka Honda, Takahiro Noda, Sun‐Ju Kim, Hiroaki Yamauchi, Chie Matsuura‐Endo, Shigenobu Takigawa, Naoto Hashimoto, I.S.M. Zaidul and S. Takigawa. Their work appears in journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Phytochemistry.
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.