Elizabeth D. Earle
- Plant Science top 0.05%
- Molecular Biology top 0.5%
- Genetics top 1%
- Insect Science top 0.5%
- Cell Biology top 1%
- Co-authors
- K. ArumuganathanAnthony M. SheltonJun CaoK. H. Andy ChooAnne FraryPaul KalitsisGregory B. MartinR. T. Roush
- Topics
- Plant tissue culture and regeneration (58 papers)Chromosomal and Genetic Variations (40 papers)Insect Resistance and Genetics (27 papers)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Elizabeth D. Earle
150 papers receiving 9.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Plant Science 7.9k
- Molecular Biology 6.8k
- Genetics 1.3k
- Insect Science 1.0k
- Cell Biology 850
Countries citing papers authored by Elizabeth D. Earle
This map shows the geographic impact of Elizabeth D. Earle'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 Elizabeth D. Earle with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Elizabeth D. Earle more than expected).
Fields of papers citing papers by Elizabeth D. Earle
This network shows the impact of papers produced by Elizabeth D. Earle. 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 Elizabeth D. Earle. The network helps show where Elizabeth D. Earle may publish in the future.
Co-authorship network of co-authors of Elizabeth D. Earle
This figure shows the co-authorship network connecting the top 25 collaborators of Elizabeth D. Earle. A scholar is included among the top collaborators of Elizabeth D. Earle 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 Elizabeth D. Earle. Elizabeth D. Earle is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 139 | |
| 2 | 69 | |
| 3 | 10 | |
| 4 | Expression of pathogenesis-related genes in transgenic broccoli and canola plants expressing the trichoderma harzianum - endochitinase gene | 2 |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 42 | |
| 8 | 22 | |
| 9 | 25 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | Evaluation of tissue culture-derived methomyl resistant cms-T lines. | 2 |
| 13 | 2 | |
| 14 | 47 | |
| 15 | 23 | |
| 16 | 6 | |
| 17 | Carnation propagation from shoot tips cultured in liquid medium [Dianthus caryophyllus]. | 13 |
| 18 | 23 | |
| 19 | 49 | |
| 20 | Propagation of Chrysanthemum in vitro. I. Multiple plantlets from shoot tips and the establishment of tissue culutures | 42 |
About Elizabeth D. Earle
Elizabeth D. Earle is a scholar working on Plant Science, Biotechnology and Molecular Biology, having authored 151 papers that have together received 10.3k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (58 papers), Chromosomal and Genetic Variations (40 papers) and Insect Resistance and Genetics (27 papers). The work is most often cited by research in Plant Science (7.9k citations), Horticulture (95 citations) and Molecular Biology (6.8k citations). Elizabeth D. Earle has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include K. Arumuganathan, Anthony M. Shelton, Jun Cao, K. H. Andy Choo, Anne Frary, Paul Kalitsis, Gregory B. Martin, R. T. Roush, Yun Zhao and Sérgio Hermínio Brommonschenkel. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.
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.