Stefan Rieder

4.2k total citations
64 papers, 1.7k citations indexed

About

Stefan Rieder is a scholar working on Genetics, Cell Biology and Molecular Biology. According to data from OpenAlex, Stefan Rieder has authored 64 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Genetics, 23 papers in Cell Biology and 11 papers in Molecular Biology. Recurrent topics in Stefan Rieder's work include Genetic and phenotypic traits in livestock (25 papers), melanin and skin pigmentation (22 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Stefan Rieder is often cited by papers focused on Genetic and phenotypic traits in livestock (25 papers), melanin and skin pigmentation (22 papers) and Genetic Mapping and Diversity in Plants and Animals (12 papers). Stefan Rieder collaborates with scholars based in Switzerland, Germany and United States. Stefan Rieder's co-authors include Tosso Leeb, Bianca Haase, Dominik Burger, Gérard Guérin, Bertrand Langlois, Denis Mariat, Séad Taourit, Christine Flury, G. Stranzinger and Heidi Signer‐Hasler and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Dairy Science.

In The Last Decade

Stefan Rieder

59 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Rieder Switzerland 22 971 655 399 210 209 64 1.7k
Rebecca R. Bellone United States 21 714 0.7× 371 0.6× 488 1.2× 317 1.5× 92 0.4× 91 1.5k
Ernest Bailey United States 25 776 0.8× 339 0.5× 433 1.1× 280 1.3× 94 0.4× 93 1.7k
Gabriella Lindgren Sweden 26 1.1k 1.2× 336 0.5× 386 1.0× 499 2.4× 69 0.3× 94 2.1k
Teruaki Tozaki Japan 27 1.7k 1.7× 430 0.7× 820 2.1× 373 1.8× 61 0.3× 141 2.4k
Sofia Mikko Sweden 27 787 0.8× 217 0.3× 311 0.8× 240 1.1× 76 0.4× 54 1.7k
Gerli Pielberg Sweden 17 794 0.8× 244 0.4× 485 1.2× 42 0.2× 89 0.4× 25 1.3k
Emmeline W. Hill Ireland 29 1.6k 1.7× 504 0.8× 645 1.6× 611 2.9× 26 0.1× 78 2.5k
Loren C. Skow United States 29 1.2k 1.3× 447 0.7× 1.3k 3.3× 75 0.4× 169 0.8× 92 2.8k
Gérard Guérin France 17 640 0.7× 335 0.5× 410 1.0× 92 0.4× 148 0.7× 30 1.1k
S. Dunner Spain 30 2.6k 2.7× 389 0.6× 1.9k 4.6× 100 0.5× 86 0.4× 119 4.2k

Countries citing papers authored by Stefan Rieder

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Rieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Rieder

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Rieder. A scholar is included among the top collaborators of Stefan Rieder 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 Stefan Rieder. Stefan Rieder 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.
Rieder, Stefan, Christina Nathues, Beatriz Vidondo, et al.. (2025). Evolution of the Swiss pork production systems and logistics: the impact on infectious disease resilience. Scientific Reports. 15(1). 7842–7842.
2.
Schüpbach‐Regula, Gertraud, et al.. (2024). Investigating the use of machine learning algorithms to support risk-based animal welfare inspections of cattle and pig farms. Frontiers in Veterinary Science. 11. 1401007–1401007.
3.
Rieder, Stefan, et al.. (2019). Qualité écologique des prairies qui bénéficient des contributions à la biodiversité. Agrarforschung Schweiz. 10(2). 80–87. 2 indexed citations
4.
Jagannathan, Vidhya, Vinzenz Gerber, Stefan Rieder, et al.. (2018). Comprehensive characterization of horse genome variation by whole‐genome sequencing of 88 horses. Animal Genetics. 50(1). 74–77. 32 indexed citations
5.
Brinkmann, Julia, Cord Drögemüller, Stefan Rieder, et al.. (2016). Genetic variability of the equine casein genes. Journal of Dairy Science. 99(7). 5486–5497. 8 indexed citations
6.
Frischknecht, Mirjam, Vidhya Jagannathan, Philippe Plattet, et al.. (2015). A Non-Synonymous HMGA2 Variant Decreases Height in Shetland Ponies and Other Small Horses. PLoS ONE. 10(10). e0140749–e0140749. 47 indexed citations
7.
Signer‐Hasler, Heidi, Markus Neuditschko, Christoph Koch, et al.. (2014). A Chromosomal Region on ECA13 Is Associated with Maxillary Prognathism in Horses. PLoS ONE. 9(1). e86607–e86607. 10 indexed citations
8.
Frischknecht, Mirjam, Markus Neuditschko, Vidhya Jagannathan, et al.. (2014). Imputation of sequence level genotypes in the Franches-Montagnes horse breed. Genetics Selection Evolution. 46(1). 63–63. 22 indexed citations
9.
Drögemüller, Michaela, Vidhya Jagannathan, Monika Welle, et al.. (2014). Congenital Hepatic Fibrosis in the Franches-Montagnes Horse Is Associated with the Polycystic Kidney and Hepatic Disease 1 (PKHD1) Gene. PLoS ONE. 9(10). e110125–e110125. 18 indexed citations
10.
Burren, Alexander, et al.. (2012). Structure de population et diversité génétique des races ovines suisses. Agrarforschung Schweiz. 3(3). 140–147. 1 indexed citations
11.
Signer‐Hasler, Heidi, Christine Flury, Bianca Haase, et al.. (2012). A Genome-Wide Association Study Reveals Loci Influencing Height and Other Conformation Traits in Horses. PLoS ONE. 7(5). e37282–e37282. 136 indexed citations
12.
Haase, Bianca, Stefan Rieder, Teruaki Tozaki, et al.. (2011). Five novel KIT mutations in horses with white coat colour phenotypes. Animal Genetics. 42(3). 337–339. 31 indexed citations
13.
Rüfenacht, Silvia, C. von Tscharner, Marcus G. Doherr, et al.. (2010). Alopecia areata in Eringer cows. Veterinary Dermatology. 21(6). 545–553. 7 indexed citations
14.
Rieder, Stefan. (2009). Molecular tests for coat colours in horses. Journal of Animal Breeding and Genetics. 126(6). 415–424. 37 indexed citations
15.
Haase, Bianca, Gabriela Obexer‐Ruff, Gaudenz Dolf, et al.. (2009). Haematological parameters are normal in dominant white Franches–Montagnes horses carrying a KIT mutation. The Veterinary Journal. 184(3). 315–317. 10 indexed citations
16.
Haase, Bianca, Samantha A. Brooks, Teruaki Tozaki, et al.. (2009). Seven novel KIT mutations in horses with white coat colour phenotypes. Animal Genetics. 40(5). 623–629. 87 indexed citations
17.
Drögemüller, Cord, et al.. (2009). A shared 336 kb haplotype associated with the belt pattern in three divergent cattle breeds. Animal Genetics. 41(3). 304–307. 7 indexed citations
18.
Krüger, Kerstin, Charlotte Gaillard, G. Stranzinger, & Stefan Rieder. (2005). Phylogenetic analysis and species allocation of individual equids using microsatellite data. Journal of Animal Breeding and Genetics. 122(s1). 78–86. 28 indexed citations
19.
Stranzinger, G., et al.. (2005). Molekulargenetische Untersuchungen beim Einsiedler-Pferd. Schweizer Archiv für Tierheilkunde. 147(5). 195–204. 2 indexed citations
20.
Stricker, Christian, Stefan Rieder, P. Ossent, et al.. (1999). Congenital progressive ataxia and spastic paresis, a hereditary disease in swine, maps to Chromosome 3 by linkage analysis. Mammalian Genome. 10(10). 1036–1038. 1 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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