De Wet Wolmarans

718 total citations
40 papers, 504 citations indexed

About

De Wet Wolmarans is a scholar working on Cellular and Molecular Neuroscience, Clinical Psychology and Social Psychology. According to data from OpenAlex, De Wet Wolmarans has authored 40 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Cellular and Molecular Neuroscience, 17 papers in Clinical Psychology and 14 papers in Social Psychology. Recurrent topics in De Wet Wolmarans's work include Neurotransmitter Receptor Influence on Behavior (17 papers), Obsessive-Compulsive Spectrum Disorders (15 papers) and Neuroendocrine regulation and behavior (13 papers). De Wet Wolmarans is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (17 papers), Obsessive-Compulsive Spectrum Disorders (15 papers) and Neuroendocrine regulation and behavior (13 papers). De Wet Wolmarans collaborates with scholars based in South Africa, United States and Brazil. De Wet Wolmarans's co-authors include Brian H. Harvey, Dan J. Stein, Daniel C. Mograbi, Linda Brand, Jan L. du Preez, Tarryn L. Botha, Rencia van der Sluis, John F. Cryan, Kieran Rea and Heather B. Jaspan and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Ethnopharmacology and European Journal of Neuroscience.

In The Last Decade

De Wet Wolmarans

34 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
De Wet Wolmarans South Africa 11 168 162 133 129 108 40 504
Marion Rivalan Germany 15 273 1.6× 84 0.5× 184 1.4× 102 0.8× 101 0.9× 28 640
Justin L. LaPorte United States 12 224 1.3× 63 0.4× 120 0.9× 141 1.1× 142 1.3× 14 525
Jordy van Enkhuizen United States 15 300 1.8× 55 0.3× 179 1.3× 109 0.8× 134 1.2× 18 662
Lourens J.P. Nonkes Netherlands 10 233 1.4× 60 0.4× 155 1.2× 112 0.9× 102 0.9× 17 431
Michael G. White United States 13 241 1.4× 143 0.9× 366 2.8× 44 0.3× 104 1.0× 17 713
Thomas R. Gregg United States 7 235 1.4× 121 0.7× 145 1.1× 265 2.1× 121 1.1× 7 630
Emilia Romano Italy 15 214 1.3× 63 0.4× 173 1.3× 75 0.6× 183 1.7× 24 565
Xianglan Wen Canada 7 88 0.5× 59 0.4× 70 0.5× 151 1.2× 183 1.7× 19 484
Françoise Dellu-Hagedorn France 15 388 2.3× 106 0.7× 266 2.0× 69 0.5× 93 0.9× 19 694
Elizabeth E. Manning Australia 11 229 1.4× 101 0.6× 149 1.1× 45 0.3× 86 0.8× 19 383

Countries citing papers authored by De Wet Wolmarans

Since Specialization
Citations

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

Fields of papers citing papers by De Wet Wolmarans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De Wet Wolmarans. 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 De Wet Wolmarans. The network helps show where De Wet Wolmarans may publish in the future.

Co-authorship network of co-authors of De Wet Wolmarans

This figure shows the co-authorship network connecting the top 25 collaborators of De Wet Wolmarans. A scholar is included among the top collaborators of De Wet Wolmarans 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 De Wet Wolmarans. De Wet Wolmarans 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.
Harvey, Brian H., et al.. (2025). Sex-dependent metabolic and behavioural alterations in a rat model of forced exertion-induced myopathy. BMC Veterinary Research. 21(1). 194–194. 1 indexed citations
2.
Kalueff, Allan V., Murilo S. de Abreu, Carla Denise Bonan, et al.. (2025). The Zebrafish Neurobehavioral Catalog—Volume 2 (New Addition). Zebrafish. 22(4). 117–135.
3.
Kaschula, Catherine H., Anna‐Mart Engelbrecht, Nokwanda P. Makunga, et al.. (2025). Differential impact of extracts from distinct Sceletium tortuosum chemotypes on central neurotransmitter concentrations in C57BL/6 mice. Journal of Ethnopharmacology. 350. 119974–119974.
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Harvey, Brian H., et al.. (2024). Higher offspring mortality in deer mice (Peromyscus maniculatus bairdii) that spontaneously present with large nest building behaviour. Behavioural Processes. 216. 105004–105004. 1 indexed citations
8.
Staden, Carlo van, Karin Finger‐Baier, David Weinshenker, et al.. (2023). A single life-threatening stressor in juvenile zebrafish causes anxiety-like behaviour in adulthood: modulation by alpha-2A adrenoceptor agonism. Neuroscience Applied. 2. 103051–103051. 1 indexed citations
9.
Harvey, Brian H., et al.. (2023). Life-threatening, high-intensity trauma- and context-dependent anxiety in zebrafish and its modulation by epinephrine. Hormones and Behavior. 153. 105376–105376. 7 indexed citations
10.
Meyer, Leith C. R., et al.. (2022). The pathophysiology of rhabdomyolysis in ungulates and rats: towards the development of a rodent model of capture myopathy. Veterinary Research Communications. 47(2). 361–371. 3 indexed citations
11.
Wolmarans, De Wet, et al.. (2021). Escitalopram and lorazepam differentially affect nesting and open field behaviour in deer mice exposed to an anxiogenic environment. Neuroscience Research. 177. 85–93. 9 indexed citations
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Cryan, John F., Thomaz F. S. Bastiaanssen, Kieran Rea, et al.. (2019). Natural compulsive‐like behaviour in the deer mouse ( Peromyscus maniculatus bairdii ) is associated with altered gut microbiota composition. European Journal of Neuroscience. 51(6). 1419–1427. 30 indexed citations
14.
Harvey, Brian H., et al.. (2019). Naturalistic operant responses in deer mice (Peromyscus maniculatus bairdii) and its response to outcome manipulation and serotonergic intervention. Behavioural Pharmacology. 31(4). 343–358. 9 indexed citations
15.
Harvey, Brian H., et al.. (2018). A critical inquiry into marble-burying as a preclinical screening paradigm of relevance for anxiety and obsessive–compulsive disorder: Mapping the way forward. Cognitive Affective & Behavioral Neuroscience. 19(1). 1–39. 125 indexed citations
16.
Wolmarans, De Wet, et al.. (2017). Peromyscus maniculatus bairdii as a naturalistic mammalian model of obsessive-compulsive disorder: current status and future challenges. Metabolic Brain Disease. 33(2). 443–455. 25 indexed citations
17.
Wolmarans, De Wet, et al.. (2016). Mind your state : insights into antidepressant non-adherence : review. South African Family Practice. 58(4). 5–8. 1 indexed citations
18.
Wolmarans, De Wet, Dan J. Stein, & Brian H. Harvey. (2016). Of mice and marbles: Novel perspectives on burying behavior as a screening test for psychiatric illness. Cognitive Affective & Behavioral Neuroscience. 16(3). 551–560. 43 indexed citations
19.
Wolmarans, De Wet, Dan J. Stein, & Brian H. Harvey. (2016). Social behavior in deer mice as a novel interactive paradigm of relevance for obsessive-compulsive disorder (OCD). Social Neuroscience. 12(2). 135–149. 17 indexed citations
20.
Wolmarans, De Wet, Linda Brand, Dan J. Stein, & Brian H. Harvey. (2013). Reappraisal of spontaneous stereotypy in the deer mouse as an animal model of obsessive-compulsive disorder (OCD): Response to escitalopram treatment and basal serotonin transporter (SERT) density. Behavioural Brain Research. 256. 545–553. 38 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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2026