Danny Arends

2.6k total citations
63 papers, 1.2k citations indexed

About

Danny Arends is a scholar working on Genetics, Molecular Biology and Agronomy and Crop Science. According to data from OpenAlex, Danny Arends has authored 63 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Genetics, 25 papers in Molecular Biology and 13 papers in Agronomy and Crop Science. Recurrent topics in Danny Arends's work include Genetic Mapping and Diversity in Plants and Animals (34 papers), Genetic and phenotypic traits in livestock (28 papers) and Bioinformatics and Genomic Networks (10 papers). Danny Arends is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (34 papers), Genetic and phenotypic traits in livestock (28 papers) and Bioinformatics and Genomic Networks (10 papers). Danny Arends collaborates with scholars based in Germany, Netherlands and United Kingdom. Danny Arends's co-authors include Ritsert C. Jansen, Pjotr Prins, Karl W. Broman, Gudrun A. Brockmann, Paula Korkuć, Monika Reißmann, Morris A. Swertz, Wilco Ligterink, Ronny V.L. Joosen and Leo A. J. Willems and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Danny Arends

61 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Danny Arends Germany 17 614 427 346 146 80 63 1.2k
Petr Šimeček Czechia 16 655 1.1× 627 1.5× 244 0.7× 44 0.3× 47 0.6× 29 1.4k
Marco Di Dario Italy 18 209 0.3× 388 0.9× 313 0.9× 198 1.4× 57 0.7× 30 1.0k
Arnaud Kerhornou United Kingdom 8 398 0.6× 848 2.0× 295 0.9× 42 0.3× 171 2.1× 9 1.4k
Glenn Proctor United Kingdom 8 461 0.8× 864 2.0× 221 0.6× 38 0.3× 207 2.6× 12 1.4k
Andreas Kähäri United Kingdom 6 393 0.6× 832 1.9× 216 0.6× 36 0.2× 181 2.3× 6 1.3k
Haijing Zhu China 22 964 1.6× 647 1.5× 77 0.2× 191 1.3× 308 3.9× 63 1.4k
Śaunak Sen United States 6 1.8k 2.9× 830 1.9× 1.6k 4.5× 111 0.8× 34 0.4× 7 2.9k
Zoltán Macháty United States 28 786 1.3× 1.1k 2.6× 102 0.3× 92 0.6× 20 0.3× 101 2.1k
Syed Haider United Kingdom 3 373 0.6× 795 1.9× 162 0.5× 36 0.2× 260 3.3× 3 1.3k
J. Casellas Spain 24 1.2k 2.0× 251 0.6× 189 0.5× 399 2.7× 183 2.3× 136 1.7k

Countries citing papers authored by Danny Arends

Since Specialization
Citations

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

Fields of papers citing papers by Danny Arends

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny Arends

This figure shows the co-authorship network connecting the top 25 collaborators of Danny Arends. A scholar is included among the top collaborators of Danny Arends 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 Danny Arends. Danny Arends 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.
Korkuć, Paula, et al.. (2023). Genomic diversity and relationship analyses of endangered German Black Pied cattle (DSN) to 68 other taurine breeds based on whole-genome sequencing. Frontiers in Genetics. 13. 993959–993959. 13 indexed citations
2.
Arends, Danny, et al.. (2023). netgwas: An R Package for Network-Based Genome Wide Association Studies. The R Journal. 14(4). 18–37. 4 indexed citations
3.
Huda, M. Nazmul, Danny Arends, Gudrun A. Brockmann, et al.. (2023). Analysis of strain, sex, and diet-dependent modulation of gut microbiota reveals candidate keystone organisms driving microbial diversity in response to American and ketogenic diets. Microbiome. 11(1). 220–220. 13 indexed citations
4.
Arends, Danny, et al.. (2022). Review: Genetic and protein variants of milk caseins in goats. Frontiers in Genetics. 13. 995349–995349. 18 indexed citations
5.
6.
Arends, Danny, et al.. (2021). Sex-specific genetic architecture in response to American and ketogenic diets. International Journal of Obesity. 45(6). 1284–1297. 8 indexed citations
7.
8.
Arends, Danny, et al.. (2021). Capture Sequencing to Explore and Map Rare Casein Variants in Goats. Frontiers in Genetics. 12. 620253–620253. 8 indexed citations
9.
Arends, Danny, et al.. (2021). Identification of four novel QTL linked to the metabolic syndrome in the Berlin Fat Mouse. International Journal of Obesity. 46(2). 307–315. 7 indexed citations
10.
Korkuć, Paula, Danny Arends, Katharina May, et al.. (2021). Design and performance of a bovine 200 k SNP chip developed for endangered German Black Pied cattle (DSN). BMC Genomics. 22(1). 905–905. 15 indexed citations
11.
Hallahan, Nicole, Pascal Gottmann, G Schulze, et al.. (2020). Identification of Novel Potential Type 2 Diabetes Genes Mediating β-Cell Loss and Hyperglycemia Using Positional Cloning. Frontiers in Genetics. 11. 567191–567191. 6 indexed citations
12.
Korkuć, Paula, et al.. (2019). DNA Sequence Variants and Protein Haplotypes of Casein Genes in German Black Pied Cattle (DSN). Frontiers in Genetics. 10. 1129–1129. 21 indexed citations
13.
Korkuć, Paula, Danny Arends, Carsten Scheper, et al.. (2018). 1-step versus 2-step imputation: a case study in German Black Pied cattle. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 282. 2 indexed citations
14.
Kreuzer-Redmer, Susanne, Danny Arends, Paula Korkuć, et al.. (2018). High dosage of zinc modulates T-cells in a time-dependent manner within porcine gut-associated lymphatic tissue. British Journal Of Nutrition. 120(12). 1349–1358. 6 indexed citations
15.
Arends, Danny, Deike Hesse, & Gudrun A. Brockmann. (2018). Invited review: Genetic and genomic mouse models for livestock research. Archives animal breeding/Archiv für Tierzucht. 61(1). 87–98. 2 indexed citations
16.
Zych, Konrad, Basten L. Snoek, Mark Elvin, et al.. (2017). reGenotyper: Detecting mislabeled samples in genetic data. PLoS ONE. 12(2). e0171324–e0171324. 11 indexed citations
17.
Bortfeldt, Ralf, et al.. (2016). Milk protein polymorphisms and casein haplotypes in Butana cattle. Journal of Applied Genetics. 58(2). 261–271. 16 indexed citations
18.
Arends, Danny, Jan Trost, Marie‐Laure Yaspo, et al.. (2015). The direction of cross affects obesity after puberty in male but not female offspring. BMC Genomics. 16(1). 904–904. 3 indexed citations
19.
Snoek, Basten L., K. Joeri van der Velde, Danny Arends, et al.. (2012). WormQTL—public archive and analysis web portal for natural variation data in Caenorhabditis spp. Nucleic Acids Research. 41(D1). D738–D743. 30 indexed citations
20.
Swertz, Morris A., K. Joeri van der Velde, Bruno Tesson, et al.. (2010). XGAP: a uniform and extensible data model and software platform for genotype and phenotype experiments. Genome Biology. 11(3). R27–R27. 23 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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