MM Scholtz

519 total citations
26 papers, 375 citations indexed

About

MM Scholtz is a scholar working on Genetics, Agronomy and Crop Science and Animal Science and Zoology. According to data from OpenAlex, MM Scholtz has authored 26 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 13 papers in Agronomy and Crop Science and 9 papers in Animal Science and Zoology. Recurrent topics in MM Scholtz's work include Genetic and phenotypic traits in livestock (18 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Agriculture Sustainability and Environmental Impact (6 papers). MM Scholtz is often cited by papers focused on Genetic and phenotypic traits in livestock (18 papers), Ruminant Nutrition and Digestive Physiology (9 papers) and Agriculture Sustainability and Environmental Impact (6 papers). MM Scholtz collaborates with scholars based in South Africa, United States and Kenya. MM Scholtz's co-authors include HH Meissner, F.W.C. Neser, F. Engelbrecht, G.J. Erasmus, A. Maiwashe, E. van Marle-Köster, L. Bergh, M. D. MacNeil, J. C. Greeff and J.P.C. Greyling and has published in prestigious journals such as South African Journal of Animal Science.

In The Last Decade

MM Scholtz

23 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
MM Scholtz South Africa 10 169 141 126 124 76 26 375
A.C. Bywater New Zealand 10 217 1.3× 163 1.2× 156 1.2× 87 0.7× 29 0.4× 29 423
D.E. Mushi Tanzania 12 196 1.2× 125 0.9× 193 1.5× 51 0.4× 69 0.9× 26 391
Ryan R Reuter United States 14 234 1.4× 120 0.9× 110 0.9× 98 0.8× 26 0.3× 49 478
KJ Peters Germany 11 130 0.8× 113 0.8× 132 1.0× 109 0.9× 24 0.3× 25 456
Andreas Steinwidder Austria 11 197 1.2× 140 1.0× 83 0.7× 110 0.9× 16 0.2× 45 358
M. Jordana Rivero United Kingdom 13 264 1.6× 128 0.9× 149 1.2× 208 1.7× 57 0.8× 68 613
T. C. M. Genro Brazil 15 466 2.8× 129 0.9× 99 0.8× 192 1.5× 82 1.1× 48 649
Steven I. Paisley United States 15 347 2.1× 191 1.4× 126 1.0× 70 0.6× 44 0.6× 30 639
Javier Baudracco Argentina 9 223 1.3× 150 1.1× 88 0.7× 155 1.3× 17 0.2× 27 428
P. Soca Uruguay 16 374 2.2× 235 1.7× 124 1.0× 151 1.2× 66 0.9× 47 613

Countries citing papers authored by MM Scholtz

Since Specialization
Citations

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

Fields of papers citing papers by MM Scholtz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by MM Scholtz. 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 MM Scholtz. The network helps show where MM Scholtz may publish in the future.

Co-authorship network of co-authors of MM Scholtz

This figure shows the co-authorship network connecting the top 25 collaborators of MM Scholtz. A scholar is included among the top collaborators of MM Scholtz 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 MM Scholtz. MM Scholtz 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.
Scholtz, MM, et al.. (2015). Methane production in different breeds, grazing different pastures or fed a total mixed ration, as measured by a Laser Methane Detector. South African Journal of Animal Science. 44(5). 12–16. 18 indexed citations
2.
Scholtz, MM, et al.. (2015). Reproduction performance of beef cattle mated naturally following synchronization in the Central Bushveld bioregion of South Africa. South African Journal of Animal Science. 44(5). 70–74. 3 indexed citations
3.
Grobler, J. Paul, et al.. (2015). Genetic diversity in selected stud and commercial herds of the Afrikaner cattle breed. South African Journal of Animal Science. 44(5). 80–84. 7 indexed citations
4.
Scholtz, MM, et al.. (2014). Possible reasons for differences in residual feed intake: An overview. South African Journal of Animal Science. 43(5). 107–107. 14 indexed citations
5.
Meissner, HH, et al.. (2014). Sustainability of the South African Livestock Sector towards 2050 Part 1: Worth and impact of the sector. South African Journal of Animal Science. 43(3). 282–282. 45 indexed citations
6.
Amimo, Joshua O., et al.. (2014). The effect of geographical region of birth on the reproductive performance of the Nguni in southern Mozambique. South African Journal of Animal Science. 43(5). 60–60. 5 indexed citations
7.
MacNeil, M. D., MM Scholtz, & A. Maiwashe. (2013). Estimates of variance components for postweaning feed intake and growth in Bonsmara bulls and evaluation of alternative measures of feed efficiency. South African Journal of Animal Science. 43(1). 7 indexed citations
8.
Scholtz, MM, et al.. (2013). Livestock breeding for sustainability to mitigate global warming, with the emphasis on developing countries. South African Journal of Animal Science. 43(3). 269–269. 36 indexed citations
9.
Scholtz, MM, et al.. (2013). A South African perspective on livestock production in relation to greenhouse gases and water usage. South African Journal of Animal Science. 43(3). 247–247. 43 indexed citations
10.
Scholtz, MM, et al.. (2011). A systems approach to the south african dairy industry. South African Journal of Animal Science. 39(5). 116–120. 7 indexed citations
11.
Neser, F.W.C., G.J. Erasmus, & MM Scholtz. (2008). The use of a cluster analysis in across herd genetic evaluation for beef cattle. South African Journal of Animal Science. 38(1). 14 indexed citations
12.
Scholtz, MM, et al.. (2007). A developing country perspective on recent developments in animal breeders and intellectual property rights. South African Journal of Animal Science. 36(5). 1 indexed citations
13.
Scholtz, MM, et al.. (1994). Genetic relationship between growth traits in Bonsmara heifer and bull calves on different nutritional regimes. South African Journal of Animal Science. 24(2). 67–70. 6 indexed citations
14.
Scholtz, MM, et al.. (1994). A note on the evaluation of a simulation program for beef cattle breeding and production. South African Journal of Animal Science. 24(2). 72–74. 1 indexed citations
15.
Scholtz, MM, et al.. (1994). Long-term responses to selection for parameters of the allometric model in the rat. South African Journal of Animal Science. 24(3). 87–93.
16.
Greeff, J. C., et al.. (1993). Preliminary genetic parameters of growth during different growth phases in sheep. South African Journal of Animal Science. 23(2). 57–60. 4 indexed citations
17.
Scholtz, MM, et al.. (1992). Maximum herd efficiency in meat production IV. Crossbred reproduction and constant slaughter mass. South African Journal of Animal Science. 22(1). 16–20. 2 indexed citations
18.
Bergh, L., MM Scholtz, & G.J. Erasmus. (1992). Identification and assessment of the best animals : the Kleiber ratio (growth rate / metabolic mass) as a selection criterion for beef cattle.. 12 indexed citations
19.
Scholtz, MM, et al.. (1991). A note on the early calving of beef heifers. South African Journal of Animal Science. 21(4). 206–209. 2 indexed citations
20.
Scholtz, MM, et al.. (1990). An investigation into the consequences of selection for growth, size and efficiency.. South African Journal of Animal Science. 20(4). 169–173. 7 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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