Alexander Burren

457 total citations
19 papers, 251 citations indexed

About

Alexander Burren is a scholar working on Genetics, Agronomy and Crop Science and Aquatic Science. According to data from OpenAlex, Alexander Burren has authored 19 papers receiving a total of 251 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 5 papers in Agronomy and Crop Science and 3 papers in Aquatic Science. Recurrent topics in Alexander Burren's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Aquaculture Nutrition and Growth (3 papers). Alexander Burren is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Aquaculture Nutrition and Growth (3 papers). Alexander Burren collaborates with scholars based in Switzerland, Australia and Germany. Alexander Burren's co-authors include Heidi Signer‐Hasler, Christine Flury, Cord Drögemüller, Markus Neuditschko, Mirjam Frischknecht, Constanze Pietsch, Beat Bapst, Dorian J. Garrick, Christian Stricker and Birgit Gredler and has published in prestigious journals such as Journal of Dairy Science, Genetics Selection Evolution and Animals.

In The Last Decade

Alexander Burren

19 papers receiving 246 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Burren Switzerland 9 195 47 42 25 22 19 251
Romain Saintilan France 10 249 1.3× 35 0.7× 62 1.5× 24 1.0× 12 0.5× 18 339
Danielle M. Gorbach United States 9 238 1.2× 51 1.1× 24 0.6× 28 1.1× 56 2.5× 9 330
André Garcia United States 11 277 1.4× 28 0.6× 40 1.0× 72 2.9× 102 4.6× 33 347
Daniel E. Goszczynski Argentina 12 284 1.5× 54 1.1× 63 1.5× 38 1.5× 9 0.4× 26 414
Anne Da Silva France 9 228 1.2× 41 0.9× 30 0.7× 10 0.4× 6 0.3× 18 294
J. S. Yeo South Korea 8 333 1.7× 52 1.1× 32 0.8× 23 0.9× 6 0.3× 19 374
Getinet Mekuriaw Tarekegn Ethiopia 11 178 0.9× 36 0.8× 59 1.4× 11 0.4× 12 0.5× 31 236
Sanjeev Singh India 10 276 1.4× 67 1.4× 69 1.6× 42 1.7× 5 0.2× 49 383
Flavie Tortereau France 11 336 1.7× 47 1.0× 85 2.0× 61 2.4× 8 0.4× 19 397
Igor Jasielczuk Poland 13 496 2.5× 119 2.5× 69 1.6× 96 3.8× 13 0.6× 43 570

Countries citing papers authored by Alexander Burren

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Burren

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Burren

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

All Works

19 of 19 papers shown
1.
Burren, Alexander, et al.. (2025). The relationship between milk urea nitrogen content and urinary nitrogen excretion as determined in 4 Swiss dairy breeds. Journal of Dairy Science. 108(5). 5342–5360. 1 indexed citations
2.
Burren, Alexander, et al.. (2023). Effects of different acute stressors on the regulation of appetite genes in the carp (Cyprinus carpioL.) brain. Royal Society Open Science. 10(2). 230040–230040. 9 indexed citations
3.
Signer‐Hasler, Heidi, et al.. (2022). Evaluation of truncating variants in the LCORL gene in relation to body size of goats from Switzerland. Animal Genetics. 53(2). 237–239. 8 indexed citations
4.
Burren, Alexander, et al.. (2022). Estimates of Genetic Parameters for Shape Space Data in Franches-Montagnes Horses. Animals. 12(17). 2186–2186. 7 indexed citations
5.
Burren, Alexander, et al.. (2022). Differential effects of acute eustress and distress on gene regulation patterns in the carp ( Cyprinus carpio L.) brain. Aquaculture Research. 53(14). 5075–5096. 7 indexed citations
6.
Norgrove, Lindsey, et al.. (2021). Biological Control of the Raspberry Eriophyoid Mite Phyllocoptes gracilis Using Entomopathogenic Fungi. Horticulturae. 7(3). 54–54. 6 indexed citations
7.
Burren, Alexander & Constanze Pietsch. (2021). Distress Regulates Different Pathways in the Brain of Common Carp: A Preliminary Study. Animals. 11(2). 585–585. 8 indexed citations
8.
Burren, Alexander, et al.. (2020). Digital monitoring of dust release in a horse stable, depending on ventilation opening area and bedding type. Pferdeheilkunde Equine Medicine. 36(4). 316–324–316–324. 2 indexed citations
9.
Vajana, Elia, et al.. (2020). Big dairy data to unravel effects of environmental, physiological and morphological factors on milk production of mountain-pastured Braunvieh cows. Royal Society Open Science. 7(7). 200638–200638. 5 indexed citations
10.
Signer‐Hasler, Heidi, et al.. (2019). Runs of homozygosity and signatures of selection: a comparison among eight local Swiss sheep breeds. Animal Genetics. 50(5). 512–525. 48 indexed citations
11.
Burren, Alexander, et al.. (2019). Genetic parameters for semen production traits in Swiss dairy bulls. Reproduction in Domestic Animals. 54(9). 1177–1181. 10 indexed citations
12.
Rauch, Michael, et al.. (2018). Effet de piège écologique des bandes fleuries annuelles: carabidés comme indicateurs. Agrarforschung Schweiz. 9(6). 214–217. 1 indexed citations
13.
Rauch, Michael, et al.. (2018). Ökologische Fallenwirkung von einjährigen Blühstreifen – Laufkäfer als Ökozeiger. ARBOR - Bern University of Applied Sciences Repository. 1 indexed citations
14.
Signer‐Hasler, Heidi, Alexander Burren, Markus Neuditschko, et al.. (2017). Population structure and genomic inbreeding in nine Swiss dairy cattle populations. Genetics Selection Evolution. 49(1). 83–83. 59 indexed citations
15.
Burren, Alexander, Markus Neuditschko, Heidi Signer‐Hasler, et al.. (2016). Genetic diversity analyses reveal first insights into breed‐specific selection signatures within Swiss goat breeds. Animal Genetics. 47(6). 727–739. 51 indexed citations
16.
Burren, Alexander, et al.. (2015). Croisements entre races laitières et à viande pour optimiser la performance bouchère. Agrarforschung Schweiz. 6(1). 28–35. 1 indexed citations
17.
Burren, Alexander, Heidi Signer‐Hasler, Markus Neuditschko, et al.. (2014). Fine-scale population structure analysis of seven local Swiss sheep breeds using genome-wide SNP data. Animal Genetic Resources/Ressources génétiques animales/Recursos genéticos animales. 55. 67–76. 16 indexed citations
18.
Joerg, H., et al.. (2014). A genome‐wide association study reveals a QTL influencing caudal supernumerary teats in Holstein cattle. Animal Genetics. 45(6). 871–873. 10 indexed citations
19.
Burren, Alexander, et al.. (2012). Structure de population et diversité génétique des races ovines suisses. Agrarforschung Schweiz. 3(3). 140–147. 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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