M.A. Snyman

43 total papers · 729 total citations
30 papers, 555 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 555 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. van Marle-Köster, E. Du Toit, H. Bovenhuis, F. C. Muchadeyi and Pieter Swart 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 487 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
M.A. Snyman	499	313	140	78	62	30	555
A. da S. Mariante	482 1.0×	216 0.7×	199 1.4×	59 0.8×	82 1.3×	49	691
R. Roy	387 0.8×	275 0.9×	139 1.0×	95 1.2×	53 0.9×	41	516
C.M.B. Dematawewa	435 0.9×	396 1.3×	242 1.7×	52 0.7×	52 0.8×	25	622
João Dürr	462 0.9×	321 1.0×	185 1.3×	78 1.0×	105 1.7×	57	596
L. D. VanVleck	458 0.9×	264 0.8×	210 1.5×	68 0.9×	76 1.2×	27	600
B. Rekik	504 1.0×	363 1.2×	347 2.5×	71 0.9×	64 1.0×	47	677
Kalle Maijala	446 0.9×	244 0.8×	178 1.3×	47 0.6×	41 0.7×	51	605
T.L. Stanton	309 0.6×	370 1.2×	212 1.5×	63 0.8×	61 1.0×	44	550
R. T. Barbosa	445 0.9×	375 1.2×	217 1.6×	37 0.5×	79 1.3×	35	671
S. K. Ercanbrack	405 0.8×	341 1.1×	125 0.9×	114 1.5×	41 0.7×	25	544

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

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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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