Siegfried Preuß

989 citations
35 papers · 592 · h-index 15

Impact in

    • Animal Nutrition and Physiology
    • Meat and Animal Product Quality
    • Livestock and Poultry Management
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

    • Genetic and phenotypic traits in livestock 19
    • Genetic Mapping and Diversity in Plants and Animals 15
    • Animal Nutrition and Physiology 11
    • Meat and Animal Product Quality 4

Siegfried Preuß

35 papers receiving 582 citations

Peers

Siegfried Preuß
Comparison fields: 5 of 60
  • Animal Science and Zoology 205
  • Genetics 278
  • Small Animals 51
  • Agronomy and Crop Science 50
  • Neurology 21
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Citations per year

Countries citing papers authored by Siegfried Preuß

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried Preuß

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Siegfried Preuß, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Siegfried Preuß Line = papers co-authored together Siegfried Preuß links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017119
2 201351
3 201942
4 201437
5 201725
6 201823
7 201020
8 200319
9 201319
10 202018
11 201918
12 200318
13 201417
14 201517
15 200615
16 202014
17 202011
18 201511
19 202210
20 20209

About Siegfried Preuß

Siegfried Preuß is a scholar working on Genetics, Animal Science and Zoology, Molecular Biology, Small Animals and Neurology, having authored 35 papers that have together received 592 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (19 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers), Animal Nutrition and Physiology (11 papers), Prion Diseases and Protein Misfolding (5 papers), Meat and Animal Product Quality (4 papers), Neurological diseases and metabolism (4 papers), Animal Behavior and Welfare Studies (2 papers) and Metallurgy and Material Science (2 papers). The work is most often cited by research in Animal Science and Zoology (205 citations), Genetics (278 citations), Small Animals (51 citations), Agronomy and Crop Science (50 citations) and Neurology (21 citations). Siegfried Preuß has collaborated with scholars based in Germany, Switzerland and Norway. Frequent co-authors include Jörn Bennewitz, Robin Wellmann, Jens Tetens, Amélia Camarinha‐Silva, Marius Vital, H. Geldermann, W. Bessei, Walter Vetter, Klaus Wimmers and H. Bartenschlager. Their work appears in journals such as Animal Genetics, Genetics Selection Evolution, Gene, Journal of Animal Science and Animals.

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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