R. M. Sonoda
- Plant Science top 10%
- Cell Biology top 10%
- Ecology, Evolution, Behavior and Systematics top 10%
- Molecular Biology
- Insect Science
- Co-authors
- Chihiro TanakaTaketo AshizawaMegh SinghR. CharudattanJ. M. LennéKosuke IzumitsuM. TsudaEisaku Tanaka
- Topics
- Plant Pathogens and Fungal Diseases (13 papers)Plant Disease Resistance and Genetics (8 papers)Plant Pathogens and Resistance (7 papers)
- Partner nations
- United StatesJapanAustralia
In The Last Decade
R. M. Sonoda
31 papers receiving 330 citations
Peers
Comparison fields: 5 of 42
- Plant Science 344
- Cell Biology 126
- Ecology, Evolution, Behavior and Systematics 117
- Molecular Biology 81
- Insect Science 36
Countries citing papers authored by R. M. Sonoda
This map shows the geographic impact of R. M. Sonoda'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. M. Sonoda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. M. Sonoda more than expected).
Fields of papers citing papers by R. M. Sonoda
This network shows the impact of papers produced by R. M. Sonoda. 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. M. Sonoda. The network helps show where R. M. Sonoda may publish in the future.
Co-authorship network of co-authors of R. M. Sonoda
This figure shows the co-authorship network connecting the top 25 collaborators of R. M. Sonoda. A scholar is included among the top collaborators of R. M. Sonoda 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. M. Sonoda. R. M. Sonoda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 101 | |
| 3 | 30 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 3 | |
| 8 | 11 | |
| 9 | An improved method for conidial formation of false smut fungus | 1 |
| 10 | Fungi in Rio Grande gummosis lesions and patterns of gummosis-affected grapefruit trees in Indian river area groves. | 1 |
| 11 | 1 | |
| 12 | Influence of number and arrangement of missing plants on tomato yields | 2 |
| 13 | 11 | |
| 14 | 13 | |
| 15 | Resistance of Desmodium heterocarpon and other tropical legumes to root-knot nematodes. | 1 |
| 16 | Occurrence of Colletotrichum dematium f.sp. truncata on Stylosanthes spp. | 8 |
| 17 | Pythium fruit rot of tomatoes. | 1 |
| 18 | Occurrence of a Pythium disease in virgin sandy soils of South Florida associated with a new method of field seeding tomatoes. | 1 |
| 19 | Control of tomato transplant damp-off | 1 |
| 20 | 5 |
About R. M. Sonoda
R. M. Sonoda is a scholar working on Horticulture, Plant Science and Cell Biology, having authored 37 papers that have together received 385 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (13 papers), Plant Disease Resistance and Genetics (8 papers) and Plant Pathogens and Resistance (7 papers). The work is most often cited by research in Plant Science (344 citations), Cell Biology (126 citations) and Endocrinology (33 citations). R. M. Sonoda has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include Chihiro Tanaka, Taketo Ashizawa, Megh Singh, R. Charudattan, J. M. Lenné, Kosuke Izumitsu, M. Tsuda, Eisaku Tanaka, Ying Zhou and Tetsuya Nakazaki. Their work appears in journals such as Nature Communications, Soil Biology and Biochemistry and Crop 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.