A. E. C. Jooste

605 total citations
19 papers, 417 citations indexed

About

A. E. C. Jooste is a scholar working on Plant Science, Endocrinology and Insect Science. According to data from OpenAlex, A. E. C. Jooste has authored 19 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 12 papers in Endocrinology and 8 papers in Insect Science. Recurrent topics in A. E. C. Jooste's work include Plant Virus Research Studies (18 papers), Plant and Fungal Interactions Research (12 papers) and Insect-Plant Interactions and Control (8 papers). A. E. C. Jooste is often cited by papers focused on Plant Virus Research Studies (18 papers), Plant and Fungal Interactions Research (12 papers) and Insect-Plant Interactions and Control (8 papers). A. E. C. Jooste collaborates with scholars based in South Africa, Australia and Italy. A. E. C. Jooste's co-authors include D. E. Goszczynski, Johan Burger, Hans J. Maree, Rachelle Bester, Gerhard Pietersen, Rodrigo P. P. Almeida, Valerian V. Dolja, Adib Rowhani, Daniel Cohen and R. A. Naidu and has published in prestigious journals such as PLoS ONE, Frontiers in Microbiology and Phytopathology.

In The Last Decade

A. E. C. Jooste

17 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. E. C. Jooste South Africa	8	391	252	180	34	20	19	417
Kar Mun Chooi New Zealand	10	359 0.9×	212 0.8×	167 0.9×	34 1.0×	15 0.8×	16	384
Elizabeth Cieniewicz United States	11	386 1.0×	220 0.9×	194 1.1×	31 0.9×	18 0.9×	33	403
Davaajargal Igori South Korea	11	326 0.8×	207 0.8×	91 0.5×	45 1.3×	14 0.7×	41	343
Seungmo Lim South Korea	13	495 1.3×	284 1.1×	108 0.6×	79 2.3×	18 0.9×	66	509
G. Kinard United States	9	398 1.0×	209 0.8×	84 0.5×	57 1.7×	24 1.2×	18	431
A. Catara Italy	13	429 1.1×	148 0.6×	127 0.7×	58 1.7×	17 0.8×	67	455
Bong Choon Lee South Korea	11	362 0.9×	212 0.8×	73 0.4×	33 1.0×	15 0.8×	28	380
Diego F. Quito-Avila Ecuador	13	412 1.1×	169 0.7×	117 0.7×	71 2.1×	8 0.4×	48	435
K. Izadpanah Iran	16	532 1.4×	184 0.7×	154 0.9×	47 1.4×	22 1.1×	66	552
Sandra García-Lampasona Argentina	7	394 1.0×	116 0.5×	143 0.8×	69 2.0×	23 1.1×	9	412

Countries citing papers authored by A. E. C. Jooste

Since Specialization

Citations

This map shows the geographic impact of A. E. C. Jooste'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 A. E. C. Jooste with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. E. C. Jooste more than expected).

Fields of papers citing papers by A. E. C. Jooste

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. E. C. Jooste. 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 A. E. C. Jooste. The network helps show where A. E. C. Jooste may publish in the future.

Co-authorship network of co-authors of A. E. C. Jooste

This figure shows the co-authorship network connecting the top 25 collaborators of A. E. C. Jooste. A scholar is included among the top collaborators of A. E. C. Jooste 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 A. E. C. Jooste. A. E. C. Jooste is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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19 of 19 papers shown

Gubba, Augustine, et al.. (2023). The effect of avocado sunblotch disease (ASBD) on tree morphology, fruit maturity, yield and quality of ‘Hass’ avocado in South Africa. European Journal of Plant Pathology. 167(3). 287–299. 1 indexed citations

Jooste, A. E. C., et al.. (2023). Rational design of a survey protocol for avocado sunblotch viroid in commercial orchards to demonstrate pest freedom. PLoS ONE. 18(4). e0277725–e0277725. 1 indexed citations

Jooste, A. E. C., et al.. (2022). Adaptation of a filter paper method for RNA template preparation for the detection of avocado sunblotch viroid by reverse transcription qPCR. Journal of Virological Methods. 301. 114455–114455. 5 indexed citations

Roberts, John M. K., et al.. (2022). Surveillance for Avocado Sunblotch Viroid Utilizing the European Honey Bee (Apis mellifera). Phytopathology. 113(3). 559–566. 4 indexed citations

Gubba, Augustine, et al.. (2022). Monitoring the distribution of banana bunchy top virus in South Africa: a country-wide survey. Archives of Virology. 167(6). 1433–1441. 4 indexed citations

Jooste, A. E. C., et al.. (2020). Distribution, detection and management strategies for avocado sunblotch disease (ASBD) in South Africa. Acta Horticulturae. 391–396.

Omondi, Bonaventure Aman, et al.. (2019). Non-destructive DNA extraction from aphids: the application in virus - vector studies of Banana bunchy top virus (BBTV). European Journal of Plant Pathology. 153(2). 571–582. 6 indexed citations

Jooste, A. E. C., et al.. (2016). First Report of Banana bunchy top virus in Banana (Musa spp.) from South Africa. Plant Disease. 100(6). 1251–1251. 18 indexed citations

Goszczynski, D. E. & A. E. C. Jooste. (2015). The application of single-strand conformation polymorphism (SSCP) technique for the analysis of molecular heterogeneity of grapevine virus A. Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 41(2). 77–82. 5 indexed citations

10.

Jooste, A. E. C. & D. E. Goszczynski. (2015). Single-strand conformation polymorphism (SSCP), cloning and sequencing reveals two major groups of divergent molecular variants of grapevine leafroll-associated virus 3 (GLRaV-3). Federal Research Centre for Cultivated Plants (Julius Kühn-Institut). 44(1). 39–43. 2 indexed citations

11.

Jooste, A. E. C., et al.. (2015). Identification and distribution of multiple virus infections in Grapevine leafroll diseased vineyards. European Journal of Plant Pathology. 142(2). 363–375. 21 indexed citations

12.

Maree, Hans J., Rodrigo P. P. Almeida, Rachelle Bester, et al.. (2013). Grapevine leafroll-associated virus 3. Frontiers in Microbiology. 4. 82–82. 176 indexed citations

13.

Bester, Rachelle, A. E. C. Jooste, Hans J. Maree, & Johan Burger. (2012). Real-time RT-PCR high-resolution melting curve analysis and multiplex RT-PCR to detect and differentiate grapevine leafroll-associated virus 3 variant groups I, II, III and VI. Virology Journal. 9(1). 219–219. 49 indexed citations

14.

Jooste, A. E. C., Gerhard Pietersen, & Johan Burger. (2011). Distribution of grapevine leafroll associated virus-3 variants in South African vineyards. European Journal of Plant Pathology. 131(3). 371–381. 22 indexed citations

15.

Jooste, A. E. C., Hans J. Maree, Dirk U. Bellstedt, et al.. (2010). Three genetic grapevine leafroll-associated virus 3 variants identified from South African vineyards show high variability in their 5′UTR. Archives of Virology. 155(12). 1997–2006. 32 indexed citations

16.

Goszczynski, D. E. & A. E. C. Jooste. (2003). Identification of grapevines infected with divergent variants of Grapevine virus A using variant-specific RT-PCR. Journal of Virological Methods. 112(1-2). 157–164. 20 indexed citations

17.

Goszczynski, D. E. & A. E. C. Jooste. (2003). Identification of divergent variants of Grapevine virus A. European Journal of Plant Pathology. 109(4). 397–403. 46 indexed citations

18.

Jooste, A. E. C., et al.. (2001). Identification of three viruses from Pisum sativum in South Africa. 7(2). 59–65. 1 indexed citations

19.

Pietersen, Gerhard, et al.. (1998). Relative abundance of soybean viruses in South Africa.. 4(2). 65–70. 4 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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