M.A. Snyman

732 total citations
30 papers, 556 citations indexed

About

M.A. Snyman is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, M.A. Snyman has authored 30 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 21 papers in Agronomy and Crop Science and 7 papers in Animal Science and Zoology. Recurrent topics in M.A. Snyman's work include Genetic and phenotypic traits in livestock (28 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Reproductive Physiology in Livestock (10 papers). M.A. Snyman is often cited by papers focused on Genetic and phenotypic traits in livestock (28 papers), Ruminant Nutrition and Digestive Physiology (10 papers) and Reproductive Physiology in Livestock (10 papers). M.A. Snyman collaborates with scholars based in South Africa, Australia and Netherlands. M.A. Snyman's co-authors include J.J. Olivier, G.J. Erasmus, J. B. van Wyk, S.W.P. Cloete, Carina Visser, E. Du Toit, E. van Marle-Köster, H. Bovenhuis, F. C. Muchadeyi and M. Chimonyo and has published in prestigious journals such as BMC Genomics, FEBS Journal and Frontiers in Genetics.

In The Last Decade

M.A. Snyman

29 papers receiving 488 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M.A. Snyman South Africa 14 500 313 141 78 62 30 556
R. Roy India 14 388 0.8× 276 0.9× 139 1.0× 95 1.2× 53 0.9× 41 517
M.K. Sørensen Denmark 13 529 1.1× 322 1.0× 123 0.9× 69 0.9× 84 1.4× 20 575
Jennifer M Bormann United States 14 418 0.8× 323 1.0× 220 1.6× 68 0.9× 38 0.6× 41 586
HU Graser Australia 14 485 1.0× 238 0.8× 272 1.9× 164 2.1× 57 0.9× 34 563
Rodrigo Junqueira Pereira Brazil 14 435 0.9× 202 0.6× 273 1.9× 75 1.0× 113 1.8× 47 538
A. S. Mariante Brazil 13 321 0.6× 130 0.4× 168 1.2× 49 0.6× 34 0.5× 25 465
Farhad Ghafouri‐Kesbi Iran 14 506 1.0× 251 0.8× 160 1.1× 29 0.4× 78 1.3× 48 547
A. L. Arora India 13 530 1.1× 349 1.1× 123 0.9× 48 0.6× 49 0.8× 67 612
A.P. Mavrogenis Cyprus 19 534 1.1× 506 1.6× 243 1.7× 85 1.1× 34 0.5× 43 771
T. Pabiou Ireland 15 455 0.9× 263 0.8× 222 1.6× 74 0.9× 33 0.5× 51 561

Countries citing papers authored by M.A. Snyman

Since Specialization
Citations

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

Fields of papers citing papers by M.A. Snyman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.A. Snyman. 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 M.A. Snyman. The network helps show where M.A. Snyman may publish in the future.

Co-authorship network of co-authors of M.A. Snyman

This figure shows the co-authorship network connecting the top 25 collaborators of M.A. Snyman. A scholar is included among the top collaborators of M.A. Snyman 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 M.A. Snyman. M.A. Snyman 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.
Dzomba, E. F., et al.. (2023). Selection signature analysis and genome-wide divergence of South African Merino breeds from their founders. Frontiers in Genetics. 13. 932272–932272. 6 indexed citations
2.
Visser, Carina & M.A. Snyman. (2023). Incorporating new technologies in breeding plans for South African goats in harsh environments. Animal Frontiers. 13(5). 53–59. 2 indexed citations
3.
Swan, Andrew, et al.. (2023). Including genomic information in the genetic evaluation of production and reproduction traits in South African Merino sheep. Journal of Animal Breeding and Genetics. 141(1). 65–82. 2 indexed citations
4.
5.
Snyman, M.A., et al.. (2019). Genetic parameters for traits associated with resistance to Haemonchus contortus in a South African Dohne Merino sheep flock. Small Ruminant Research. 176. 76–88. 18 indexed citations
6.
Visser, Carina, et al.. (2019). Genomic evaluation of resistance to Haemonchus contortus in a South African Dohne Merino flock. Small Ruminant Research. 175. 117–125. 7 indexed citations
7.
Snyman, M.A., et al.. (2018). Estimation of genetic parameters and comparison of breeding values for body weight with different models in a South African Merino stud. Small Ruminant Research. 169. 34–41. 4 indexed citations
8.
Snyman, M.A.. (2012). Genetic analysis of body weight in South African Angora kids and young goats. South African Journal of Animal Science. 42(2). 17 indexed citations
9.
Visser, Carina, E. van Marle-Köster, M.A. Snyman, H. Bovenhuis, & R.P.M.A. Crooijmans. (2012). Quantitative trait loci associated with pre-weaning growth in South African Angora goats. Small Ruminant Research. 112(1-3). 15–20. 10 indexed citations
10.
Visser, Carina, M.A. Snyman, E. van Marle-Köster, & H. Bovenhuis. (2009). Genetic parameters for physical and quality traits of mohair in South African Angora goats. Small Ruminant Research. 87(1-3). 27–32. 14 indexed citations
11.
Storbeck, Karl‐Heinz, Amanda C. Swart, M.A. Snyman, & Pieter Swart. (2008). Two CYP17 genes in the South African Angora goat (Capra hircus) – the identification of three genotypes that differ in copy number and steroidogenic output. FEBS Journal. 275(15). 3934–3943. 10 indexed citations
12.
Snyman, M.A.. (2007). Body weight and growth rate of South African Angora goat kids under different pre- and post-weaning management systems. South African Journal of Animal Science. 37(2). 12 indexed citations
13.
Snyman, M.A., et al.. (2005). The possible role of Ostertagia circumcincta, coccidiosis and dietary protein level in the development of swelling disease in Angora goat kids. Journal of the South African Veterinary Association. 76(2). 63–68.
14.
Snyman, M.A.. (2003). Mohair production and reproduction of Angora and Angora×Boer goat genotypes in a sub-optimum environment. Small Ruminant Research. 53(1-2). 75–87. 6 indexed citations
15.
Snyman, M.A., et al.. (2002). Productive performance of hair and wool type Dorper sheep under extensive conditions. Small Ruminant Research. 45(1). 17–23. 13 indexed citations
16.
Snyman, M.A., et al.. (2001). Direct and correlated responses to selection for total weight of lamb weaned in Merino sheep. South African Journal of Animal Science. 31(2). 30 indexed citations
17.
Cloete, S.W.P., J.J. Olivier, M.A. Snyman, & E. Du Toit. (1998). Genetic parameters and trends in a selection experiment for increased clean fleece weight involving South African Merinos. Australian Journal of Experimental Agriculture. 38(5). 427–427. 29 indexed citations
18.
Snyman, M.A., S.W.P. Cloete, & J.J. Olivier. (1998). Genetic and phenotypic correlations of total weight of lamb weaned with body weight, clean fleece weight and mean fibre diameter in three South African Merino flocks. Livestock Production Science. 55(2). 157–162. 27 indexed citations
19.
Snyman, M.A., et al.. (1998). Genetic parameter estimates for fitness traits in South African Merino sheep. Livestock Production Science. 56(1). 71–77. 23 indexed citations
20.
Snyman, M.A., G.J. Erasmus, J. B. van Wyk, & J.J. Olivier. (1995). Direct and maternal (co) variance components and heritability estimates for body weight at different ages and fleece traits in Afrino sheep. Livestock Production Science. 44(3). 229–235. 135 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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