Aletta E. Bester‐van der Merwe

921 total citations
60 papers, 663 citations indexed

About

Aletta E. Bester‐van der Merwe is a scholar working on Nature and Landscape Conservation, Aquatic Science and Molecular Biology. According to data from OpenAlex, Aletta E. Bester‐van der Merwe has authored 60 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Nature and Landscape Conservation, 27 papers in Aquatic Science and 26 papers in Molecular Biology. Recurrent topics in Aletta E. Bester‐van der Merwe's work include Ichthyology and Marine Biology (31 papers), Fish Biology and Ecology Studies (27 papers) and Identification and Quantification in Food (25 papers). Aletta E. Bester‐van der Merwe is often cited by papers focused on Ichthyology and Marine Biology (31 papers), Fish Biology and Ecology Studies (27 papers) and Identification and Quantification in Food (25 papers). Aletta E. Bester‐van der Merwe collaborates with scholars based in South Africa, United States and Norway. Aletta E. Bester‐van der Merwe's co-authors include Rouvay Roodt‐Wilding, Simo N. Maduna, Clint Rhode, Charlene da Silva, Sabine P. Wintner, María Eugenia D’Amato, Sven Kerwath, Filip Volckaert, A. Lehmensiek and R. Prins and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Aletta E. Bester‐van der Merwe

59 papers receiving 657 citations

Peers

Aletta E. Bester‐van der Merwe
Alexandra M. Tyers United Kingdom
D. Scott Taylor United States
J. C. Avise United States
Sarah P. Flanagan United States
Erica V. Todd New Zealand
Aletta E. Bester‐van der Merwe
Citations per year, relative to Aletta E. Bester‐van der Merwe Aletta E. Bester‐van der Merwe (= 1×) peers Anne‐Laure Ferchaud

Countries citing papers authored by Aletta E. Bester‐van der Merwe

Since Specialization
Citations

This map shows the geographic impact of Aletta E. Bester‐van der Merwe'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 Aletta E. Bester‐van der Merwe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aletta E. Bester‐van der Merwe more than expected).

Fields of papers citing papers by Aletta E. Bester‐van der Merwe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aletta E. Bester‐van der Merwe. 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 Aletta E. Bester‐van der Merwe. The network helps show where Aletta E. Bester‐van der Merwe may publish in the future.

Co-authorship network of co-authors of Aletta E. Bester‐van der Merwe

This figure shows the co-authorship network connecting the top 25 collaborators of Aletta E. Bester‐van der Merwe. A scholar is included among the top collaborators of Aletta E. Bester‐van der Merwe 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 Aletta E. Bester‐van der Merwe. Aletta E. Bester‐van der Merwe 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.
Merwe, Aletta E. Bester‐van der, et al.. (2024). Drivers of genomic diversity and phenotypic development in early phases of domestication in Hermetia illucens. Insect Molecular Biology. 33(6). 756–776. 13 indexed citations
2.
Dicken, Matthew L., et al.. (2024). Seascape Genomics of the Smooth Hammerhead Shark Sphyrna zygaena Reveals Regional Adaptive Clinal Variation. Ecology and Evolution. 14(12). e70644–e70644.
3.
Ebert, David A., Enrico Gennari, R. W. Leslie, et al.. (2023). Molecular Taxonomy of South Africa’s Catsharks: How Far Have We Come?. Diversity. 15(7). 828–828. 3 indexed citations
4.
Quattro, Joseph M., et al.. (2023). Phylogenetic placement and molecular dating of hammerhead sharks (Sphyrnidae) based on whole mitogenomes. Marine Biology Research. 19(1). 1–12. 2 indexed citations
5.
Bennett, RH, et al.. (2023). Characterization of the complete mitochondrial genomes of two Critically Endangered wedgefishes: Rhynchobatus djiddensis and Rhynchobatus australiae. SHILAP Revista de lepidopterología. 8(3). 352–358. 4 indexed citations
6.
Merwe, Aletta E. Bester‐van der, et al.. (2023). The complete mitochondrial genome of the South African snoek Thyrsites atun (Euphrasén, 1791) (Perciformes, Gempylidae). SHILAP Revista de lepidopterología. 8(2). 288–291. 2 indexed citations
7.
Merwe, Aletta E. Bester‐van der, et al.. (2023). Addressing the complex phylogenetic relationship of the Gempylidae fishes using mitogenome data. Ecology and Evolution. 13(6). e10217–e10217. 3 indexed citations
9.
Coetzee, Beatrix, Paul H. Fourie, Megan M. Dewdney, et al.. (2022). Discerning the global phylogeographic distribution of Phyllosticta citricarpa by means of whole genome sequencing. Fungal Genetics and Biology. 162. 103727–103727. 3 indexed citations
10.
Bennett, RH, et al.. (2021). Application of DNA mini-barcoding reveals illegal trade in endangered shark products in southern Africa. African Journal of Marine Science. 43(4). 511–520. 8 indexed citations
11.
Silva, Charlene da, et al.. (2021). Site fidelity and shallow genetic structure in the common smooth‐hound shark Mustelus mustelus confirmed by tag‐recapture and genetic data. Journal of Fish Biology. 100(1). 134–149. 5 indexed citations
12.
Kerwath, Sven, Rouvay Roodt‐Wilding, Toufiek Samaai, et al.. (2021). Shallow seamounts represent speciation islands for circumglobal yellowtail Seriola lalandi. Scientific Reports. 11(1). 3559–3559. 5 indexed citations
13.
Maduna, Simo N., Edward D. Farrell, Ana Veríssimo, et al.. (2020). Historical biogeography of smoothhound sharks (genus Mustelus) of Southern Africa reveals multiple dispersal events from the Northern Hemisphere. Systematics and Biodiversity. 18(7). 633–645. 5 indexed citations
14.
Gennari, Enrico, et al.. (2020). Microsatellite development and detection of admixture among three sympatric Haploblepharus species (Carcharhiniformes: Scyliorhinidae). Aquatic Conservation Marine and Freshwater Ecosystems. 30(12). 2336–2350. 4 indexed citations
15.
Merwe, Aletta E. Bester‐van der, et al.. (2019). Reproductive philopatry in a coastal shark drives age-related population structure. Marine Biology. 166(3). 21 indexed citations
16.
Merwe, Aletta E. Bester‐van der, et al.. (2019). Genomic resources for the spotted ragged-tooth shark Carcharias taurus. African Journal of Marine Science. 41(1). 115–118. 2 indexed citations
17.
Maduna, Simo N., et al.. (2018). New polymorphic microsatellite loci revealed for the dusky shark Carcharhinus obscurus through Ion Proton double-digest RAD sequencing. Molecular Biology Reports. 45(6). 2759–2763. 4 indexed citations
18.
Maduna, Simo N., et al.. (2017). Species identification and comparative population genetics of four coastal houndsharks based on novel NGS‐mined microsatellites. Ecology and Evolution. 7(5). 1462–1486. 26 indexed citations
19.
Merwe, Aletta E. Bester‐van der, et al.. (2015). Molecular species identification and population genetics of chondrichthyans in South Africa: current challenges, priorities and progress. African Zoology. 50(3). 205–217. 19 indexed citations
20.
Heyden, Sophie von der, et al.. (2015). Molecular systematics and biogeography of the circumglobally distributed genus Seriola (Pisces: Carangidae). Molecular Phylogenetics and Evolution. 93. 274–280. 20 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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