Mitsuo Omura
- Plant Science top 0.5%
- Molecular Biology top 5%
- Biochemistry top 1%
- Organic Chemistry top 5%
- Horticulture top 0.2%
- Co-authors
- Takehiko ShimadaTomoko EndoTakaya MoriguchiHiroshi FujiiChihiro ItoTomoya AkihamaMasayuki KitaTetsushi Hidaka
- Topics
- Plant Reproductive Biology (45 papers)Plant tissue culture and regeneration (32 papers)Plant chemical constituents analysis (28 papers)
In The Last Decade
Mitsuo Omura
150 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 82
- Plant Science 2.4k
- Molecular Biology 2.3k
- Biochemistry 456
- Organic Chemistry 376
- Horticulture 306
Countries citing papers authored by Mitsuo Omura
This map shows the geographic impact of Mitsuo Omura'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 Mitsuo Omura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mitsuo Omura more than expected).
Fields of papers citing papers by Mitsuo Omura
This network shows the impact of papers produced by Mitsuo Omura. 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 Mitsuo Omura. The network helps show where Mitsuo Omura may publish in the future.
Co-authorship network of co-authors of Mitsuo Omura
This figure shows the co-authorship network connecting the top 25 collaborators of Mitsuo Omura. A scholar is included among the top collaborators of Mitsuo Omura 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 Mitsuo Omura. Mitsuo Omura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 51 | |
| 2 | 日本におけるCitrus(ミカン属)の育種,遺伝学およびゲノミクス | 1 |
| 3 | 39 | |
| 4 | Development of software to provide automatically structural and functional annotation for EST utilizing genome information of Arabidopsis thaliana | 1 |
| 5 | Genetic relationships among fruiting- and flowering-Japanese apricot characterized by chloroplast DNA markers | 1 |
| 6 | 237 | |
| 7 | 9 | |
| 8 | 25 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 10 | |
| 12 | 59 | |
| 13 | 22 | |
| 14 | 33 | |
| 15 | 11 | |
| 16 | 26 | |
| 17 | 29 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | Long-term Storage of Fruit Tree Pollen and Its Application in Breeding | 0 |
About Mitsuo Omura
Mitsuo Omura is a scholar working on Horticulture, Plant Science and Biochemistry, having authored 151 papers that have together received 3.7k indexed citations. Recurring topics across this work include Plant Reproductive Biology (45 papers), Plant tissue culture and regeneration (32 papers) and Plant chemical constituents analysis (28 papers). The work is most often cited by research in Horticulture (306 citations), Biochemistry (456 citations) and Plant Science (2.4k citations). Mitsuo Omura has collaborated with scholars based in Japan, Israel and Spain. Frequent co-authors include Takehiko Shimada, Tomoko Endo, Takaya Moriguchi, Hiroshi Fujii, Chihiro Ito, Tomoya Akihama, Masayuki Kita, Tetsushi Hidaka, Ichiro Kajiura and Yoshinori Ikoma. Their work appears in journals such as PLoS ONE, Journal of Agricultural and Food Chemistry and Journal of Experimental Botany.
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.