M. Schmutz

1.2k total citations
58 papers, 851 citations indexed

About

M. Schmutz is a scholar working on Animal Science and Zoology, Genetics and Small Animals. According to data from OpenAlex, M. Schmutz has authored 58 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Animal Science and Zoology, 25 papers in Genetics and 12 papers in Small Animals. Recurrent topics in M. Schmutz's work include Animal Nutrition and Physiology (49 papers), Genetic and phenotypic traits in livestock (24 papers) and Livestock and Poultry Management (18 papers). M. Schmutz is often cited by papers focused on Animal Nutrition and Physiology (49 papers), Genetic and phenotypic traits in livestock (24 papers) and Livestock and Poultry Management (18 papers). M. Schmutz collaborates with scholars based in Germany, United Kingdom and Spain. M. Schmutz's co-authors include Rudolf Preisinger, R. Preisinger, Ian Dunn, D. Cavero, Maureen Bain, Wiebke Icken, D. Waddington, Peter W.F. Wilson, Karina McDade and Alejandro B. Rodríguez‐Navarro and has published in prestigious journals such as Journal of Animal Science, Poultry Science and Veterinary Parasitology.

In The Last Decade

M. Schmutz

55 papers receiving 784 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. Schmutz Germany 19 645 291 152 86 74 58 851
R. Preisinger Germany 13 532 0.8× 225 0.8× 146 1.0× 62 0.7× 80 1.1× 38 732
A. Kominakis Greece 17 326 0.5× 299 1.0× 66 0.4× 56 0.7× 58 0.8× 43 698
S.J. Lamont United States 20 697 1.1× 335 1.2× 67 0.4× 105 1.2× 210 2.8× 35 1.2k
G.R. McDANIEL United States 19 846 1.3× 215 0.7× 66 0.4× 185 2.2× 85 1.1× 64 1.1k
N. Millet France 8 692 1.1× 217 0.7× 63 0.4× 48 0.6× 70 0.9× 18 789
Santiago Avendaño United Kingdom 22 658 1.0× 746 2.6× 167 1.1× 334 3.9× 122 1.6× 48 1.3k
P. Settar United States 22 901 1.4× 893 3.1× 142 0.9× 324 3.8× 100 1.4× 49 1.5k
L. Star Netherlands 14 432 0.7× 65 0.2× 105 0.7× 77 0.9× 35 0.5× 22 619
J. C. Greeff Australia 22 402 0.6× 447 1.5× 380 2.5× 47 0.5× 124 1.7× 58 978
V.K. Saxena India 17 348 0.5× 137 0.5× 33 0.2× 58 0.7× 162 2.2× 73 751

Countries citing papers authored by M. Schmutz

Since Specialization
Citations

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

Fields of papers citing papers by M. Schmutz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Schmutz

This figure shows the co-authorship network connecting the top 25 collaborators of M. Schmutz. A scholar is included among the top collaborators of M. Schmutz 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. Schmutz. M. Schmutz 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.
Wilson, Peter W.F., M. Schmutz, Nazaret Domínguez-Gasca, et al.. (2023). Genetic markers associated with bone composition in Rhode Island Red laying hens. Genetics Selection Evolution. 55(1). 44–44. 7 indexed citations
2.
Wang, Zhang, Ian Dunn, Peter W.F. Wilson, et al.. (2023). Genome wide association analysis of cuticle deposition in laying hens. Poultry Science. 102(10). 102990–102990.
3.
Schmutz, M., Oswald Matika, H. A. McCormack, et al.. (2023). An analysis of the maxillary beak shape variation between 2 pure layer lines and its relationship to the underlying premaxillary bone, feather cover, and mortality. Poultry Science. 102(8). 102854–102854. 1 indexed citations
4.
Schmutz, M., et al.. (2021). Determining the variation in premaxillary and dentary bone morphology that may underlie beak shape between two pure layer lines. Poultry Science. 100(12). 101500–101500. 1 indexed citations
5.
Cavero, D., et al.. (2018). Genetic approach to select against embryo mortality caused by Enterococcus faecalis infection in laying hens. Poultry Science. 97(12). 4177–4186. 3 indexed citations
6.
Icken, Wiebke, et al.. (2014). Genetic parameters of egg quality traits on different pedigree layers with special focus on dynamic stiffness. Poultry Science. 93(10). 2457–2463. 30 indexed citations
7.
Honkatukia, Mervi, Maria Tuiskula-Haavisto, Jesus Arango, et al.. (2013). QTL mapping of egg albumen quality in egg layers. Genetics Selection Evolution. 45(1). 31–31. 18 indexed citations
8.
Icken, Wiebke, Stefan Thurner, Anna Kaiser, et al.. (2013). Higher precision level at individual laying performance tests in noncage housing systems. Poultry Science. 92(9). 2276–2282. 18 indexed citations
9.
Kaufmann, Falko, Gürbüz Daş, Rudolf Preisinger, et al.. (2010). Genetic resistance to natural helminth infections in two chicken layer lines. Veterinary Parasitology. 176(2-3). 250–257. 50 indexed citations
10.
Tuiskula-Haavisto, Maria, Mervi Honkatukia, Rudolf Preisinger, et al.. (2010). Quantitative trait loci affecting eggshell traits in an F2 population. Animal Genetics. 42(3). 293–299. 23 indexed citations
11.
Icken, Wiebke, Stefan Thurner, D. Cavero, et al.. (2009). Analysis of the nesting behaviour from laying hens in a floor system.. Archiv für Geflügelkunde. 73(2). 102–109. 4 indexed citations
12.
Hahn, G. L., et al.. (2009). Nutzung männlicher Legehybriden als Stubenküken : Mastleistung und Schlachtkörperzusammensetzung. ˜Die œFleischwirtschaft. 48(185). 143–148. 1 indexed citations
13.
Bain, Maureen, et al.. (2009). The deposition of the cuticle on laying hens eggs is a moderately heritable trait. 5(1). 17–18. 5 indexed citations
14.
Icken, Wiebke, D. Cavero, M. Schmutz, et al.. (2008). Analysis of the free range behaviour of laying hens and the genetic and phenotypic relationships with laying performance. British Poultry Science. 49(5). 533–541. 19 indexed citations
15.
Dunn, Ian, Maureen Bain, Peter W.F. Wilson, et al.. (2008). Polymorphisms in eggshell organic matrix genes are associated with eggshell quality measurements in pedigree Rhode Island Red hens. Animal Genetics. 40(1). 110–114. 94 indexed citations
16.
Icken, Wiebke, M. Schmutz, Ruedi Fries, et al.. (2006). Genetic parameters for egg production and nesting behaviour in a non-cage environment.. 2 indexed citations
17.
18.
Dunn, Ian, Maureen Bain, S. Solomon, et al.. (2005). Heritability and genetic correlation of measurements derived from acoustic resonance frequency analysis; a novel method of determining eggshell quality in domestic hens. British Poultry Science. 46(3). 280–286. 57 indexed citations
19.
Mielenz, N., et al.. (2002). Genetic evaluation of egg production traits based on additive and dominance models in laying hens. OpenAgrar. 1 indexed citations
20.
Reents, Reinhard, et al.. (1998). Impact of application of a test day model to dairy production traits on genetic evaluations of cows. Bulletin - International Bull Evaluation Service/Interbull bulletin. 96. 21 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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