Dionne N. Shepherd

2.1k total citations
43 papers, 1.4k citations indexed

About

Dionne N. Shepherd is a scholar working on Plant Science, Molecular Biology and Endocrinology. According to data from OpenAlex, Dionne N. Shepherd has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Plant Science, 15 papers in Molecular Biology and 15 papers in Endocrinology. Recurrent topics in Dionne N. Shepherd's work include Plant Virus Research Studies (40 papers), Plant and Fungal Interactions Research (15 papers) and CRISPR and Genetic Engineering (12 papers). Dionne N. Shepherd is often cited by papers focused on Plant Virus Research Studies (40 papers), Plant and Fungal Interactions Research (15 papers) and CRISPR and Genetic Engineering (12 papers). Dionne N. Shepherd collaborates with scholars based in South Africa, New Zealand and United States. Dionne N. Shepherd's co-authors include Darren P. Martin, Arvind Varsani, Edward P. Rybicki, Adérito L. Monjane, Pierre Lefeuvre, Jennifer A. Thomson, Betty E. Owor, Santiago F. Elena, Kyle C. Dent and Philippe Roumagnac and has published in prestigious journals such as PLoS ONE, Nature Reviews Microbiology and Journal of Virology.

In The Last Decade

Dionne N. Shepherd

43 papers receiving 1.4k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dionne N. Shepherd South Africa 21 1.3k 536 324 314 232 43 1.4k
Adérito L. Monjane South Africa 15 977 0.7× 415 0.8× 194 0.6× 289 0.9× 160 0.7× 27 1.1k
Lucy R. Stewart United States 16 864 0.7× 250 0.5× 264 0.8× 293 0.9× 66 0.3× 49 1.1k
Takahide Sasaya Japan 25 1.6k 1.2× 421 0.8× 488 1.5× 308 1.0× 84 0.4× 78 1.8k
C.L. Niblett United States 18 1.5k 1.1× 458 0.9× 252 0.8× 537 1.7× 95 0.4× 42 1.6k
Tomás Canto Spain 29 2.3k 1.7× 632 1.2× 528 1.6× 483 1.5× 89 0.4× 78 2.4k
Eugénie Hébrard France 27 1.6k 1.2× 304 0.6× 255 0.8× 472 1.5× 47 0.2× 57 1.7k
M. Russo Italy 25 1.8k 1.4× 742 1.4× 476 1.5× 299 1.0× 175 0.8× 87 1.9k
Dallas L. Seifers United States 26 1.7k 1.3× 845 1.6× 152 0.5× 533 1.7× 148 0.6× 66 1.7k
B. E. L. Lockhart United States 30 2.6k 2.0× 686 1.3× 639 2.0× 502 1.6× 66 0.3× 146 2.7k
R.A.A. van der Vlugt Netherlands 25 2.0k 1.5× 646 1.2× 368 1.1× 497 1.6× 80 0.3× 80 2.2k

Countries citing papers authored by Dionne N. Shepherd

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lefeuvre, Pierre, et al.. (2019). Evolution and ecology of plant viruses. Nature Reviews Microbiology. 17(10). 632–644. 168 indexed citations
2.
Kraberger, Simona, James Hadfield, Karyna Rosario, et al.. (2017). The role of Kenya in the trans-African spread of maize streak virus strain A. Virus Research. 232. 69–76. 11 indexed citations
3.
Kraberger, Simona, S. Saumtally, Dionne N. Shepherd, et al.. (2017). Molecular diversity, geographic distribution and host range of monocot-infecting mastreviruses in Africa and surrounding islands. Virus Research. 238. 171–178. 10 indexed citations
4.
McFarlane, S. A., Patrick Govender, M. J. Way, et al.. (2014). Report on maize streak virus in the South African sugar industry. International sugar journal. 116(1385). 348–354. 1 indexed citations
5.
Shepherd, Dionne N., Benjamin Dugdale, Darren P. Martin, et al.. (2014). Inducible Resistance to Maize Streak Virus. PLoS ONE. 9(8). e105932–e105932. 11 indexed citations
6.
Muhire, Brejnev, Michael Golden, Ben Murrell, et al.. (2013). Evidence of Pervasive Biologically Functional Secondary Structures within the Genomes of Eukaryotic Single-Stranded DNA Viruses. Journal of Virology. 88(4). 1972–1989. 25 indexed citations
7.
Dayaram, Anisha, James Hadfield, Renwick C. J. Dobson, et al.. (2012). Molecular characterisation of a novel cassava associated circular ssDNA virus. Virus Research. 166(1-2). 130–135. 51 indexed citations
8.
Thomson, Jennifer A., Dionne N. Shepherd, & H.D. Mignouna. (2010). Developments in agricultural biotechnology in sub-Saharan Africa. MOspace Institutional Repository (University of Missouri). 13(4). 314–319. 7 indexed citations
9.
Hadfield, James, Darren P. Martin, Daisy Stainton, et al.. (2010). Bromus catharticus striate mosaic virus: a new mastrevirus infecting Bromus catharticus from Australia. Archives of Virology. 156(2). 335–341. 8 indexed citations
10.
Shepherd, Dionne N., Darren P. Martin, Eric van der Walt, et al.. (2009). Maize streak virus: an old and complex ‘emerging’ pathogen. Molecular Plant Pathology. 11(1). 1–12. 113 indexed citations
11.
Heydarnejad, Jahangir, Hossain Massumi, Sandra Meredith, et al.. (2009). Complete sequences of tomato leaf curl Palampur virus isolates infecting cucurbits in Iran. Archives of Virology. 154(6). 1015–1018. 30 indexed citations
12.
Harkins, Gordon W., Wayne Delport, Siobain Duffy, et al.. (2009). Experimental evidence indicating that mastreviruses probably did not co-diverge with their hosts. Virology Journal. 6(1). 104–104. 47 indexed citations
13.
Lawry, Robert, et al.. (2009). A novel sugarcane-infecting mastrevirus from South Africa. Archives of Virology. 154(10). 1699–1703. 12 indexed citations
14.
Varsani, Arvind, Dionne N. Shepherd, Kyle C. Dent, et al.. (2009). A highly divergent South African geminivirus species illuminates the ancient evolutionary history of this family. Virology Journal. 6(1). 36–36. 56 indexed citations
15.
16.
Shepherd, Dionne N., Darren P. Martin, & Jennifer A. Thomson. (2008). Transgenic strategies for developing crops resistant to geminiviruses. Plant Science. 176(1). 1–11. 56 indexed citations
17.
McFarlane, S. A., et al.. (2008). First Report of Maize streak virus Field Infection of Sugarcane in South Africa. Plant Disease. 92(6). 982–982. 7 indexed citations
18.
Owor, Betty E., Darren P. Martin, Dionne N. Shepherd, et al.. (2007). Genetic analysis of maize streak virus isolates from Uganda reveals widespread distribution of a recombinant variant. Journal of General Virology. 88(11). 3154–3165. 57 indexed citations
19.
Shepherd, Dionne N., Darren P. Martin, F. J. Kloppers, et al.. (2007). Maize streak virus‐resistant transgenic maize: a first for Africa. Plant Biotechnology Journal. 5(6). 759–767. 45 indexed citations
20.
Owor, Betty E., Dionne N. Shepherd, Nigel J. Taylor, et al.. (2006). Successful application of FTA® Classic Card technology and use of bacteriophage ϕ29 DNA polymerase for large-scale field sampling and cloning of complete maize streak virus genomes. Journal of Virological Methods. 140(1-2). 100–105. 63 indexed citations

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.

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