Dionne N. Shepherd
- Plant Science top 2%
- Endocrinology top 0.5%
- Molecular Biology
- Insect Science top 2%
- Animal Science and Zoology top 2%
- Co-authors
- Darren P. MartinArvind VarsaniEdward P. RybickiAdérito L. MonjanePierre LefeuvreJennifer A. ThomsonBetty E. OworPhilippe Roumagnac
- Topics
- Plant Virus Research Studies (40 papers)Plant and Fungal Interactions Research (15 papers)CRISPR and Genetic Engineering (12 papers)
- Partner nations
- South AfricaNew ZealandUnited States
In The Last Decade
Dionne N. Shepherd
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 56
- Plant Science 1.3k
- Endocrinology 536
- Molecular Biology 324
- Insect Science 314
- Animal Science and Zoology 232
Countries citing papers authored by Dionne N. Shepherd
This map shows the geographic impact of Dionne N. Shepherd'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 Dionne N. Shepherd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dionne N. Shepherd more than expected).
Fields of papers citing papers by Dionne N. Shepherd
This network shows the impact of papers produced by Dionne N. Shepherd. 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 Dionne N. Shepherd. The network helps show where Dionne N. Shepherd may publish in the future.
Co-authorship network of co-authors of Dionne N. Shepherd
This figure shows the co-authorship network connecting the top 25 collaborators of Dionne N. Shepherd. A scholar is included among the top collaborators of Dionne N. Shepherd 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 Dionne N. Shepherd. Dionne N. Shepherd is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 10 | |
| 3 | Report on maize streak virus in the South African sugar industry | 1 |
| 4 | 11 | |
| 5 | 16 | |
| 6 | 51 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | Developments in agricultural biotechnology in sub-Saharan Africa | 7 |
| 10 | 8 | |
| 11 | 24 | |
| 12 | 12 | |
| 13 | 30 | |
| 14 | 113 | |
| 15 | 20 | |
| 16 | 13 | |
| 17 | 113 | |
| 18 | 45 | |
| 19 | 63 | |
| 20 | 20 |
About Dionne N. Shepherd
Dionne N. Shepherd is a scholar working on Endocrinology, Plant Science and Animal Science and Zoology, having authored 43 papers that have together received 1.4k indexed citations. Recurring topics across this work include Plant Virus Research Studies (40 papers), Plant and Fungal Interactions Research (15 papers) and CRISPR and Genetic Engineering (12 papers). The work is most often cited by research in Endocrinology (536 citations), Horticulture (35 citations) and Plant Science (1.3k citations). Dionne N. Shepherd has collaborated with scholars based in South Africa, New Zealand and United States. Frequent co-authors include Darren P. Martin, Arvind Varsani, Edward P. Rybicki, Adérito L. Monjane, Pierre Lefeuvre, Jennifer A. Thomson, Betty E. Owor, Philippe Roumagnac, Kyle C. Dent and Santiago F. Elena. Their work appears in journals such as PLoS ONE, Nature Reviews Microbiology and Journal of 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.