Sadao Komori
- Plant Science top 2%
- Molecular Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 5%
- Insect Science top 5%
- Cell Biology
- Co-authors
- Masato WadaChikako NishitaniToshiya YamamotoAkira SuzukiYuriko OsakabeJunichi SoejimaKeishi OsakabeKazuma Okada
- Topics
- Plant Reproductive Biology (41 papers)Plant Physiology and Cultivation Studies (39 papers)Horticultural and Viticultural Research (20 papers)
- Partner nations
- JapanUnited StatesChina
In The Last Decade
Sadao Komori
64 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 49
- Plant Science 1.1k
- Molecular Biology 998
- Ecology, Evolution, Behavior and Systematics 156
- Insect Science 112
- Cell Biology 76
Countries citing papers authored by Sadao Komori
This map shows the geographic impact of Sadao Komori'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 Sadao Komori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sadao Komori more than expected).
Fields of papers citing papers by Sadao Komori
This network shows the impact of papers produced by Sadao Komori. 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 Sadao Komori. The network helps show where Sadao Komori may publish in the future.
Co-authorship network of co-authors of Sadao Komori
This figure shows the co-authorship network connecting the top 25 collaborators of Sadao Komori. A scholar is included among the top collaborators of Sadao Komori 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 Sadao Komori. Sadao Komori 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 | 8 | |
| 3 | New apple cultivar 'Ruby Sweet'. | 1 |
| 4 | 244 | |
| 5 | 14 | |
| 6 | 40 | |
| 7 | 85 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 34 | |
| 11 | Mass-production of papaya (Carica papaya L.) saplings using shoot-tip culture for commercial use | 6 |
| 12 | Seasonal Changes of IAA and Cytokinin Concentration in Shoots of Columnar Type Apple Trees | 1 |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 1 | |
| 16 | 82 | |
| 17 | 41 | |
| 18 | S-ALLELE GENOTYPES OF 16 MALUS XDOMESTICA CULTIVARS : Sg-ALLELE WITHIN 'AMERICAN SUMMER PEARMAIN', 'INDO', 'KITANOSACHI' AND 'MEKU 10' | 1 |
| 19 | 5 | |
| 20 | 3 |
About Sadao Komori
Sadao Komori is a scholar working on Plant Science, Molecular Biology and Cell Biology, having authored 68 papers that have together received 1.3k indexed citations. Recurring topics across this work include Plant Reproductive Biology (41 papers), Plant Physiology and Cultivation Studies (39 papers) and Horticultural and Viticultural Research (20 papers). The work is most often cited by research in Plant Science (1.1k citations), Horticulture (17 citations) and Molecular Biology (998 citations). Sadao Komori has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masato Wada, Chikako Nishitani, Toshiya Yamamoto, Akira Suzuki, Yuriko Osakabe, Junichi Soejima, Keishi Osakabe, Kazuma Okada, Manabu Watanabe and Naozumi Mimida. Their work appears in journals such as Scientific Reports, Nature Protocols and International Journal of Molecular Sciences.
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.