E. van Marle-Köster

2.3k total citations
103 papers, 1.5k citations indexed

About

E. van Marle-Köster is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, E. van Marle-Köster has authored 103 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Genetics, 40 papers in Agronomy and Crop Science and 26 papers in Animal Science and Zoology. Recurrent topics in E. van Marle-Köster's work include Genetic and phenotypic traits in livestock (78 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetic diversity and population structure (21 papers). E. van Marle-Köster is often cited by papers focused on Genetic and phenotypic traits in livestock (78 papers), Genetic Mapping and Diversity in Plants and Animals (33 papers) and Genetic diversity and population structure (21 papers). E. van Marle-Köster collaborates with scholars based in South Africa, United States and Netherlands. E. van Marle-Köster's co-authors include Carina Visser, F. C. Muchadeyi, A. Maiwashe, F.W.C. Neser, Louis H. Nel, Mahlako L. Makgahlela, M. D. MacNeil, E.C. Webb, Charles A. Hefer and Jeremy F. Taylor and has published in prestigious journals such as PLoS ONE, Sensors and Food Research International.

In The Last Decade

E. van Marle-Köster

98 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
E. van Marle-Köster South Africa 22 1.0k 542 517 143 122 103 1.5k
Sunday O. Peters United States 21 919 0.9× 587 1.1× 358 0.7× 83 0.6× 158 1.3× 105 1.6k
A. Maiwashe South Africa 22 774 0.8× 361 0.7× 373 0.7× 95 0.7× 117 1.0× 55 1.1k
Amparo Martínez Spain 21 1.3k 1.3× 369 0.7× 253 0.5× 74 0.5× 89 0.7× 156 1.7k
Sonika Ahlawat India 23 1.1k 1.1× 241 0.4× 366 0.7× 71 0.5× 102 0.8× 166 1.5k
M. S. Tantia India 21 773 0.8× 194 0.4× 262 0.5× 66 0.5× 69 0.6× 116 1.0k
Vincenzo Landi Spain 17 729 0.7× 316 0.6× 178 0.3× 64 0.4× 61 0.5× 98 977
F.W.C. Neser South Africa 19 864 0.9× 566 1.0× 671 1.3× 92 0.6× 134 1.1× 114 1.3k
Hugo H. Montaldo Mexico 23 934 0.9× 537 1.0× 565 1.1× 77 0.5× 99 0.8× 91 1.5k
M. M. de Alencar Brazil 29 1.9k 1.9× 748 1.4× 800 1.5× 75 0.5× 552 4.5× 193 2.5k
H. M. Burrow Australia 24 1.6k 1.6× 1.4k 2.5× 838 1.6× 42 0.3× 142 1.2× 85 2.4k

Countries citing papers authored by E. van Marle-Köster

Since Specialization
Citations

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

Fields of papers citing papers by E. van Marle-Köster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. van Marle-Köster. 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 E. van Marle-Köster. The network helps show where E. van Marle-Köster may publish in the future.

Co-authorship network of co-authors of E. van Marle-Köster

This figure shows the co-authorship network connecting the top 25 collaborators of E. van Marle-Köster. A scholar is included among the top collaborators of E. van Marle-Köster 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 E. van Marle-Köster. E. van Marle-Köster 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.
Visser, Carina, et al.. (2024). The impact of myostatin variants on growth traits in South African Bonsmara beef cattle. Tropical Animal Health and Production. 56(8). 358–358. 1 indexed citations
2.
Marle-Köster, E. van, et al.. (2024). Risk factors underlining reproductive performance in smallholder beef cattle herds of South Africa. Tropical Animal Health and Production. 56(8). 320–320.
3.
Marle-Köster, E. van, et al.. (2024). Selection signatures associated with adaptation in South African Drakensberger, Nguni, and Tuli beef breeds. Tropical Animal Health and Production. 57(1). 13–13.
5.
Marle-Köster, E. van, et al.. (2023). Differential gene expression in the Longissimus dorsi of Nguni and Bonsmara bulls finished on low and high energy diets. South African Journal of Animal Science. 53(1). 101–108. 1 indexed citations
6.
Schokker, Dirkjan, et al.. (2023). The Effect of a Bacillus Probiotic and Essential Oils Compared to an Ionophore on the Rumen Microbiome Composition of Feedlot Cattle. Animals. 13(18). 2927–2927. 10 indexed citations
7.
Marle-Köster, E. van, et al.. (2023). Automated Cow Body Condition Scoring Using Multiple 3D Cameras and Convolutional Neural Networks. Sensors. 23(22). 9051–9051. 6 indexed citations
9.
Marle-Köster, E. van & Carina Visser. (2021). Unintended consequences of selection for increased production on the health and welfare of livestock. Archives animal breeding/Archiv für Tierzucht. 64(1). 177–185. 11 indexed citations
10.
Marle-Köster, E. van, et al.. (2018). Haplotype variation at the POLLED locus in the South African Bonsmara cattle breed. Proceedings of the World Congress on Genetics Applied to Livestock Production. 814. 1 indexed citations
11.
Scholtz, M. M., et al.. (2018). Differential gene expression in the Longissimus dorsi of Bonsmara and Nguni cattle associated with diet in South Africa. Proceedings of the World Congress on Genetics Applied to Livestock Production. 132. 1 indexed citations
12.
Visser, Carina, et al.. (2015). Validation of the 50k Illumina goat SNP chip in the South African Angora goat : short communication. South African Journal of Animal Science. 45(1). 56–59. 8 indexed citations
13.
Marle-Köster, E. van, et al.. (2012). Genetic diversity and population structure of the endangered Namaqua Afrikaner sheep. Tropical Animal Health and Production. 45(2). 511–516. 36 indexed citations
14.
Marle-Köster, E. van, et al.. (2011). Application of DNA markers in parentage verification of Boran cattle in Kenya. Tropical Animal Health and Production. 44(3). 471–476. 14 indexed citations
15.
Neser, F.W.C., et al.. (2009). Study on the genetic diversity of native chickens in northwest Ethiopia using microsatellite markers.. AFRICAN JOURNAL OF BIOTECHNOLOGY. 8(7). 1347–1353. 36 indexed citations
16.
Marle-Köster, E. van, Charles A. Hefer, Louis H. Nel, & Martien A. M. Groenen. (2008). Genetic diversity and population structure of locally adapted South African chicken lines: Implications for conservation. South African Journal of Animal Science. 38(4). 271–281. 42 indexed citations
17.
Neser, F.W.C., et al.. (2007). Phenotypic variation of native chicken populations in northwest Ethiopia. Tropical Animal Health and Production. 39(7). 507–513. 43 indexed citations
18.
Neser, F.W.C., et al.. (2006). Studies on the growth performance of native chicken ecotypes and RIR chicken under improved management system in northwest Ethiopia. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 21 indexed citations
19.
Marle-Köster, E. van, et al.. (2006). Adjustment of heterogeneous variances and a calving year effect in test-day models for national genetic evaluation of dairy cattle in South Africa. South African Journal of Animal Science. 36(3). 165–174. 6 indexed citations
20.
Visser, Carina, Charles A. Hefer, E. van Marle-Köster, & Antoinette Kotzé. (2004). Genetic variation of three commercial and three indigenous goat populations in South Africa. South African Journal of Animal Science. 34(5). 24–27. 39 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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