J. K. Uyemoto
- Plant Science top 1%
- Endocrinology top 0.5%
- Insect Science top 1%
- Cell Biology top 10%
- Molecular Biology
- Co-authors
- Adib RowhaniBruce C. KirkpatrickYunping ZhangDeborah GolinoMaher Al RwahnihMysore R. SudarshanaBikram S. GillH. C. Sharma
- Topics
- Plant Virus Research Studies (59 papers)Plant and Fungal Interactions Research (34 papers)Plant Disease Management Techniques (15 papers)
- Journals
- NatureJournal of VirologyVirology
- Partner nations
- United StatesItalyPalestinian Territory
In The Last Decade
J. K. Uyemoto
70 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 43
- Plant Science 1.7k
- Endocrinology 833
- Insect Science 493
- Cell Biology 181
- Molecular Biology 180
Countries citing papers authored by J. K. Uyemoto
This map shows the geographic impact of J. K. Uyemoto'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 J. K. Uyemoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. K. Uyemoto more than expected).
Fields of papers citing papers by J. K. Uyemoto
This network shows the impact of papers produced by J. K. Uyemoto. 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 J. K. Uyemoto. The network helps show where J. K. Uyemoto may publish in the future.
Co-authorship network of co-authors of J. K. Uyemoto
This figure shows the co-authorship network connecting the top 25 collaborators of J. K. Uyemoto. A scholar is included among the top collaborators of J. K. Uyemoto 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 J. K. Uyemoto. J. K. Uyemoto 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 | 25 | |
| 3 | 18 | |
| 4 | 12 | |
| 5 | 4 | |
| 6 | 21 | |
| 7 | 23 | |
| 8 | 7 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 283 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | Survey detects viruses in almond, prune, and sweet cherry orchards | 1 |
| 15 | 4 | |
| 16 | New findings on pistachio problems | 38 |
| 17 | Isolation and identification of a strain of grapevine Bulgarian latent virus in Concord grapevine in New York State. | 0 |
| 18 | A severe outbreak of virus-induced grapevine decline in Cascade grapevines in New York. | 6 |
| 19 | 4 | |
| 20 | 7 |
About J. K. Uyemoto
J. K. Uyemoto is a scholar working on Endocrinology, Horticulture and Plant Science, having authored 72 papers that have together received 1.8k indexed citations. Recurring topics across this work include Plant Virus Research Studies (59 papers), Plant and Fungal Interactions Research (34 papers) and Plant Disease Management Techniques (15 papers). The work is most often cited by research in Endocrinology (833 citations), Horticulture (147 citations) and Plant Science (1.7k citations). J. K. Uyemoto has collaborated with scholars based in United States, Italy and Palestinian Territory. Frequent co-authors include Adib Rowhani, Bruce C. Kirkpatrick, Yunping Zhang, Deborah Golino, Maher Al Rwahnih, Mysore R. Sudarshana, Yunping Zhang, Bikram S. Gill, H. C. Sharma and Michael M. Anderson. Their work appears in journals such as Nature, Journal of Virology and Virology.
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.