Ronel Pienaar

1.5k total citations
42 papers, 1.1k citations indexed

About

Ronel Pienaar is a scholar working on Parasitology, Ecology, Evolution, Behavior and Systematics and Insect Science. According to data from OpenAlex, Ronel Pienaar has authored 42 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Parasitology, 22 papers in Ecology, Evolution, Behavior and Systematics and 18 papers in Insect Science. Recurrent topics in Ronel Pienaar's work include Vector-borne infectious diseases (38 papers), Vector-Borne Animal Diseases (15 papers) and Insect symbiosis and bacterial influences (10 papers). Ronel Pienaar is often cited by papers focused on Vector-borne infectious diseases (38 papers), Vector-Borne Animal Diseases (15 papers) and Insect symbiosis and bacterial influences (10 papers). Ronel Pienaar collaborates with scholars based in South Africa, Germany and United States. Ronel Pienaar's co-authors include Ben J. Mans, Abdalla A. Latif, Daniël de Klerk, Minique H. de Castro, Jonathan Featherston, Oriel Thekisoe, D. Jasper G. Rees, Antoinette I. Josemans, Job E. López and Adalberto Á. Pérez de León and has published in prestigious journals such as PLoS ONE, Scientific Reports and Frontiers in Physiology.

In The Last Decade

Ronel Pienaar

40 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ronel Pienaar South Africa 17 917 521 446 369 115 42 1.1k
Naftaly Githaka Kenya 21 733 0.8× 396 0.8× 435 1.0× 267 0.7× 66 0.6× 55 944
Ryan O. M. Rego Czechia 19 780 0.9× 316 0.6× 532 1.2× 463 1.3× 86 0.7× 48 1.1k
Andrias Hojgaard United States 22 1.1k 1.2× 414 0.8× 947 2.1× 364 1.0× 149 1.3× 64 1.3k
Maria D. Esteve‐Gasent United States 21 915 1.0× 373 0.7× 676 1.5× 323 0.9× 70 0.6× 56 1.3k
Patrick Gasqui France 19 698 0.8× 362 0.7× 545 1.2× 230 0.6× 203 1.8× 34 1.2k
Lorraine Michelet France 17 755 0.8× 317 0.6× 794 1.8× 210 0.6× 70 0.6× 40 1.2k
Miling Ma China 22 1.1k 1.2× 599 1.1× 653 1.5× 384 1.0× 100 0.9× 46 1.2k
Elodie Devillers France 18 931 1.0× 462 0.9× 827 1.9× 249 0.7× 57 0.5× 23 1.2k
Giovanna Carpi United States 18 988 1.1× 349 0.7× 840 1.9× 345 0.9× 119 1.0× 33 1.3k
Shane M. Ceraul United States 19 937 1.0× 210 0.4× 382 0.9× 543 1.5× 136 1.2× 27 1.2k

Countries citing papers authored by Ronel Pienaar

Since Specialization
Citations

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

Fields of papers citing papers by Ronel Pienaar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ronel Pienaar. 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 Ronel Pienaar. The network helps show where Ronel Pienaar may publish in the future.

Co-authorship network of co-authors of Ronel Pienaar

This figure shows the co-authorship network connecting the top 25 collaborators of Ronel Pienaar. A scholar is included among the top collaborators of Ronel Pienaar 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 Ronel Pienaar. Ronel Pienaar 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
2.
Ali, Abid, Abdulaziz Alouffi, Mashal M. Almutairi, et al.. (2024). Description of a new tick species, closely related to Amblyomma javanense (Supino, 1897), associated with Varanus bengalensis (Squamata: Varanidae) in Pakistan. Ticks and Tick-borne Diseases. 15(6). 102361–102361. 2 indexed citations
3.
Kneubehl, Alexander R., Sebastián Muñoz‐Leal, Ronel Pienaar, et al.. (2022). Amplification and sequencing of entire tick mitochondrial genomes for a phylogenomic analysis. Scientific Reports. 12(1). 19310–19310. 24 indexed citations
6.
Pienaar, Ronel, et al.. (2020). Investigations into the carrier-state of Theileria sp. (buffalo) in cattle. International Journal for Parasitology Parasites and Wildlife. 11. 136–142. 7 indexed citations
7.
Latif, Abdalla A., Ronel Pienaar, Antoinette I. Josemans, et al.. (2019). Risk of establishment of canine leishmaniasis infection through the import of dogs into South Africa. Onderstepoort Journal of Veterinary Research. 86(1). e1–e11. 6 indexed citations
8.
Mans, Ben J., et al.. (2019). Investigation into limiting dilution and tick transmissibility phenotypes associated with attenuation of the S24 vaccine strain. Parasites & Vectors. 12(1). 419–419. 3 indexed citations
9.
Pienaar, Ronel, Antoinette I. Josemans, Abdalla A. Latif, & Ben J. Mans. (2019). The host-specificity of Theileria sp. (sable) and Theileria sp. (sable-like) in African Bovidae and detection of novel Theileria in antelope and giraffe. Parasitology. 147(2). 213–224. 8 indexed citations
10.
Mans, Ben J., Jonathan Featherston, Marija Kvas, et al.. (2018). Argasid and ixodid systematics: Implications for soft tick evolution and systematics, with a new argasid species list. Ticks and Tick-borne Diseases. 10(1). 219–240. 118 indexed citations
11.
Pienaar, Ronel, Abdalla A. Latif, & Ben J. Mans. (2018). Investigations into the host specificity of Theileria taurotragi. Veterinary Parasitology. 254. 30–35. 10 indexed citations
12.
Bhoora, Raksha, et al.. (2018). Multiplex hydrolysis-probe assay for the simultaneous detection of Theileria equi and Babesia caballi infections in equids. Veterinary Parasitology. 255. 61–68. 17 indexed citations
13.
Castro, Minique H. de, Daniël de Klerk, Ronel Pienaar, D. Jasper G. Rees, & Ben J. Mans. (2017). Sialotranscriptomics of Rhipicephalus zambeziensis reveals intricate expression profiles of secretory proteins and suggests tight temporal transcriptional regulation during blood-feeding. Parasites & Vectors. 10(1). 384–384. 20 indexed citations
14.
Venter, Gert J., et al.. (2016). An update of the tsetse fly (Diptera: Glossinidae) distribution and African animal trypanosomosis prevalence in north-eastern KwaZulu-Natal, South Africa. Onderstepoort Journal of Veterinary Research. 83(1). a1172–a1172. 14 indexed citations
15.
Mans, Ben J., Ronel Pienaar, & Abdalla A. Latif. (2015). A review of Theileria diagnostics and epidemiology. International Journal for Parasitology Parasites and Wildlife. 4(1). 104–118. 220 indexed citations
16.
Mans, Ben J., et al.. (2013). The host preferences of Nuttalliella namaqua (Ixodoidea: Nuttalliellidae): a generalist approach to surviving multiple host-switches. Experimental and Applied Acarology. 62(2). 233–240. 13 indexed citations
17.
Pienaar, Ronel, Abdalla A. Latif, Oriel Thekisoe, & Ben J. Mans. (2013). Geographic distribution of Theileria sp. (buffalo) and Theileria sp. (bougasvlei) in Cape buffalo (Syncerus caffer) in southern Africa: implications for speciation. Parasitology. 141(3). 411–424. 18 indexed citations
18.
Latif, Abdalla A., et al.. (2012). Nuttalliella namaqua (Ixodoidea: Nuttalliellidae): First Description of the Male, Immature Stages and Re-Description of the Female. PLoS ONE. 7(7). e41651–e41651. 26 indexed citations
20.
Zweygarth, Erich, Otto Koekemoer, Antoinette I. Josemans, et al.. (2009). Theileria-infected cell line from an African buffalo (Syncerus caffer). Parasitology Research. 105(2). 579–581. 14 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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