S. M. Schmutz

5.7k total citations
116 papers, 3.3k citations indexed

About

S. M. Schmutz is a scholar working on Genetics, Molecular Biology and Cell Biology. According to data from OpenAlex, S. M. Schmutz has authored 116 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Genetics, 31 papers in Molecular Biology and 31 papers in Cell Biology. Recurrent topics in S. M. Schmutz's work include melanin and skin pigmentation (31 papers), Genetic and phenotypic traits in livestock (29 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). S. M. Schmutz is often cited by papers focused on melanin and skin pigmentation (31 papers), Genetic and phenotypic traits in livestock (29 papers) and Genetic Mapping and Diversity in Plants and Animals (27 papers). S. M. Schmutz collaborates with scholars based in Canada, United States and Germany. S. M. Schmutz's co-authors include T. G. Berryere, Fiona Buchanan, Dayna L. Dreger, T. D. Thue, Andrew G. Van Kessel, Carolyn Fitzsimmons, Gregory S. Barsh, Julie A. Kerns, Y. Plante and Josef K. Schmutz and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Genetics.

In The Last Decade

S. M. Schmutz

116 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
S. M. Schmutz Canada	30	1.7k	886	794	741	404	116	3.3k
Luca Fontanesi Italy	40	3.3k 1.9×	814 0.9×	1.5k 1.9×	429 0.6×	1.5k 3.6×	273	5.3k
Maria Möller Sweden	18	1.1k 0.7×	700 0.8×	504 0.6×	389 0.5×	361 0.9×	25	2.1k
James Kijas Sweden	14	1.2k 0.7×	561 0.6×	635 0.8×	247 0.3×	280 0.7×	22	2.2k
Bertram Brenig Germany	32	1.7k 1.0×	261 0.3×	1.9k 2.4×	334 0.5×	429 1.1×	316	4.1k
Kaj Sandberg Sweden	23	1.4k 0.8×	407 0.5×	513 0.6×	221 0.3×	182 0.5×	49	2.1k
Bertrand Bed’Hom France	29	1.8k 1.0×	403 0.5×	1.0k 1.3×	231 0.3×	1.3k 3.2×	91	3.5k
G. Stranzinger Switzerland	28	1.7k 1.0×	224 0.3×	945 1.2×	184 0.2×	275 0.7×	153	2.9k
Michèle Tixier‐Boichard France	34	2.5k 1.4×	352 0.4×	1.1k 1.4×	200 0.3×	2.0k 5.1×	120	4.8k
W. Barendse Australia	38	3.9k 2.2×	211 0.2×	852 1.1×	148 0.2×	989 2.4×	153	5.0k
Stefania Dall’Olio Italy	26	1.2k 0.7×	372 0.4×	601 0.8×	220 0.3×	623 1.5×	114	2.3k

Countries citing papers authored by S. M. Schmutz

Since Specialization

Citations

This map shows the geographic impact of S. 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 S. 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 S. M. Schmutz more than expected).

Fields of papers citing papers by S. M. Schmutz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. M. Schmutz. A scholar is included among the top collaborators of S. 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 S. M. Schmutz. S. M. Schmutz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hédan, Benoît, Édouard Cadieu, Nadine Botherel, et al.. (2019). Identification of a Missense Variant in MFSD12 Involved in Dilution of Phaeomelanin Leading to White or Cream Coat Color in Dogs. Genes. 10(5). 386–386. 18 indexed citations

Schmutz, S. M.. (2014). Genetic Interactions Among Three Pigmentation Loci in Domestic Dogs. 3 indexed citations

Griebel, Philip, et al.. (2014). No association between β-Defensin 103B (DEFB103B) single nucleotide polymorphisms (SNPs) or haplotypes and Staphylococcus aureus mastitis in Holstein cattle. Proceedings of the World Congress on Genetics Applied to Livestock Production. 528. 1 indexed citations

Schmutz, S. M., et al.. (2011). Melanocortin 4 receptor polymorphism is associated with carcass fat in beef cattle. Canadian Journal of Animal Science. 91(1). 75–79. 2 indexed citations

Dreger, Dayna L. & S. M. Schmutz. (2010). A New Mutation in MC1R Explains a Coat Color Phenotype in 2 “Old” Breeds: Saluki and Afghan Hound. Journal of Heredity. 101(5). 644–649. 29 indexed citations

Dreger, Dayna L. & S. M. Schmutz. (2009). The variant red coat colour phenotype of Holstein cattle maps to BTA27. Animal Genetics. 41(1). 109–112. 14 indexed citations

Candille, Sophie I., Christopher B. Kaelin, B.M. Cattanach, et al.. (2007). A β-Defensin Mutation Causes Black Coat Color in Domestic Dogs. Science. 318(5855). 1418–1423. 265 indexed citations

Schmutz, S. M. & T. G. Berryere. (2007). The Genetics of Cream Coat Color in Dogs. Journal of Heredity. 98(5). 544–548. 21 indexed citations

Berryere, T. G., Julie A. Kerns, Gregory S. Barsh, & S. M. Schmutz. (2005). Association of an Agouti allele with fawn or sable coat color in domestic dogs. Mammalian Genome. 16(4). 262–272. 47 indexed citations

10.

Berryere, T. G., et al.. (2004). The scurs locus in cattle maps to bovine chromosome 19. Animal Genetics. 35(1). 34–39. 25 indexed citations

11.

Buchanan, Fiona, Andrew G. Van Kessel, Cheryl Waldner, et al.. (2003). Hot Topic: An Association Between a Leptin Single Nucleotide Polymorphism and Milk and Protein Yield. Journal of Dairy Science. 86(10). 3164–3166. 105 indexed citations

12.

Buchanan, Fiona, et al.. (2002). Association of a missense mutation in the bovine leptin gene with carcass fat content and leptin mRNA levels. Genetics Selection Evolution. 34(1). 105–16. 254 indexed citations

13.

Thue, T. D., S. M. Schmutz, & Fiona Buchanan. (2001). A SNP in the cattle MC4R gene is used to map MC4R to BTA 24. Animal Genetics. 32(6). 390–391. 21 indexed citations

14.

Casas, Eduardo, Gary L. Bennett, C. D. K. Bottema, et al.. (2001). Comprehensive linkage map of bovine chromosome 11. Animal Genetics. 32(2). 92–94. 3 indexed citations

15.

Schmutz, S. M., Vilma Yuzbasiyan‐Gurkan, Daniel Zemke, et al.. (2001). DCT and EDNRB map to DogMap linkage group L07. Animal Genetics. 32(5). 321–321. 3 indexed citations

16.

Schmutz, S. M., et al.. (2001). A QTL Study of Cattle Behavioral Traits in Embryo Transfer Families. Journal of Heredity. 92(3). 290–292. 56 indexed citations

17.

Hiendleder, Stefan, et al.. (1999). Transmitochondrial differences and varying levels of heteroplasmy in nuclear transfer cloned cattle. Molecular Reproduction and Development. 54(1). 24–31. 102 indexed citations

18.

Schmutz, S. M.. (1998). Heritability estimates of behaviors associated with hunting in dogs. Journal of Heredity. 89(3). 233–237. 28 indexed citations

19.

Schmutz, S. M., et al.. (1996). Beta-mannosidase maps to cattle Chromosome 6. Mammalian Genome. 7(6). 474–474. 2 indexed citations

20.

Schmutz, S. M., et al.. (1994). Molecular studies of DRB relative to Staphylococcus aureus mastitis.. Proceedings of the World Congress on Genetics applied to Livestock Production. 187–190. 2 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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