G. Freyer

493 total citations
20 papers, 404 citations indexed

About

G. Freyer is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, G. Freyer has authored 20 papers receiving a total of 404 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 8 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in G. Freyer's work include Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Wheat and Barley Genetics and Pathology (4 papers). G. Freyer is often cited by papers focused on Genetic and phenotypic traits in livestock (14 papers), Genetic Mapping and Diversity in Plants and Animals (12 papers) and Wheat and Barley Genetics and Pathology (4 papers). G. Freyer collaborates with scholars based in Germany, United States and Denmark. G. Freyer's co-authors include Rosemarie Weikard, M. Schwerin, Christa Kühn, Tom Goldammer, Paweł Janczyk, C. Kühn, Ina Hoeschele, W. B. Souffrant, Annette Zeyner and B.G. Cassell and has published in prestigious journals such as Journal of Dairy Science, FEMS Microbiology Ecology and Physiological Genomics.

In The Last Decade

G. Freyer

19 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Freyer Germany 9 249 86 80 76 75 20 404
Chang Weon Choi South Korea 14 147 0.6× 36 0.4× 200 2.5× 264 3.5× 134 1.8× 36 574
Xiangpeng Yue China 12 224 0.9× 41 0.5× 178 2.2× 86 1.1× 161 2.1× 26 447
G. Vonghia Italy 13 144 0.6× 101 1.2× 79 1.0× 45 0.6× 71 0.9× 33 340
Toshihiro NADE Japan 9 277 1.1× 26 0.3× 233 2.9× 72 0.9× 83 1.1× 28 450
Atsushi Ogino Japan 11 452 1.8× 113 1.3× 172 2.1× 115 1.5× 142 1.9× 24 592
J. Stamey Lanier United States 9 97 0.4× 16 0.2× 91 1.1× 306 4.0× 50 0.7× 13 440
Rafael A. Nafikov United States 7 172 0.7× 20 0.2× 106 1.3× 249 3.3× 99 1.3× 8 461
David Carreño Spain 11 93 0.4× 21 0.2× 60 0.8× 181 2.4× 74 1.0× 21 341
Uğur Şen Türkiye 12 195 0.8× 20 0.2× 184 2.3× 137 1.8× 33 0.4× 49 395
Nasser Emam Jomeh Kashan Iran 9 174 0.7× 95 1.1× 228 2.9× 88 1.2× 40 0.5× 32 429

Countries citing papers authored by G. Freyer

Since Specialization
Citations

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

Fields of papers citing papers by G. Freyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Freyer

This figure shows the co-authorship network connecting the top 25 collaborators of G. Freyer. A scholar is included among the top collaborators of G. Freyer 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 G. Freyer. G. Freyer 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.
Freyer, G.. (2018). Maximum number of total born piglets in a parity and individual ranges in litter size expressed as specific characteristics of sows. Journal of Animal Science and Technology. 60(1). 16 indexed citations
2.
Freyer, G., et al.. (2016). New insights into the role of the porcine intestinal yeast,Kazachstania slooffiae, in intestinal environment of weaned piglets. FEMS Microbiology Ecology. 93(2). fiw245–fiw245. 23 indexed citations
3.
Janczyk, Paweł, et al.. (2011). Establishment of intestinal microbiota with focus on yeasts of unweaned and weaned piglets kept under different farm conditions. FEMS Microbiology Ecology. 77(3). 493–502. 38 indexed citations
4.
Janczyk, Paweł, Robert Pieper, Clark Wolf, G. Freyer, & W. B. Souffrant. (2010). Alginate fed as a supplement to rats affects growth performance, crude protein digestibility, and caecal bacterial community.. Archiva zootechnica. 13(2). 5–18. 2 indexed citations
5.
Halle, Ingrid, Paweł Janczyk, G. Freyer, & W. B. Souffrant. (2009). Effect of microalgae Chlorella vulgaris on laying hen performance.. Archiva zootechnica. 12(2). 5–13. 41 indexed citations
6.
Freyer, G., Natascha Vukasinovic, & B.G. Cassell. (2009). Impacts of using inbred animals in studies for detection of quantitative trait loci. Journal of Dairy Science. 92(2). 765–772.
7.
Freyer, G., et al.. (2008). Invited Review: Crossbreeding in Dairy Cattle From a German Perspective of the Past and Today. Journal of Dairy Science. 91(10). 3725–3743. 40 indexed citations
8.
Freyer, G., et al.. (2006). Parameters of glucose tolerance test traits in dairy cattle. Archives animal breeding/Archiv für Tierzucht. 49(2). 120–132. 4 indexed citations
9.
Freyer, G., Jules Hernández‐Sánchez, & B.G. Cassell. (2005). A note on inbreeding in dairy cattle breeding. Archives animal breeding/Archiv für Tierzucht. 48(2). 130–137. 7 indexed citations
10.
Weikard, Rosemarie, Christa Kühn, Tom Goldammer, G. Freyer, & M. Schwerin. (2005). The bovine PPARGC1A gene: molecular characterization and association of an SNP with variation of milk fat synthesis. Physiological Genomics. 21(1). 1–13. 121 indexed citations
11.
Freyer, G. & Natascha Vukasinovic. (2005). Comparison of granddaughter design and general pedigree design analysis of QTL in dairy cattle: a simulation study. Czech Journal of Animal Science. 50(12). 545–552. 3 indexed citations
13.
Freyer, G., Peter Sørensen, C. Kühn, & Rosemarie Weikard. (2004). Investigations in the character of QTL affecting negatively correlated milk traits. Journal of Animal Breeding and Genetics. 121(1). 40–51. 4 indexed citations
14.
Freyer, G., Peter Sørensen, C. Kühn, Rosemarie Weikard, & Ina Hoeschele. (2003). Search for Pleiotropic QTL on Chromosome BTA6 Affecting Yield Traits of Milk Production. Journal of Dairy Science. 86(3). 999–1008. 41 indexed citations
15.
Freyer, G., C. Kühn, & Rosemarie Weikard. (2003). Comparison of different statistical-genetic approaches of QTL detection by Evaluating results from a real dairy cattle data set. Archives animal breeding/Archiv für Tierzucht. 46(5). 413–423. 5 indexed citations
16.
Freyer, G., et al.. (2002). Multiple QTL on chromosome six in dairy cattle affecting yield and content traits. Journal of Animal Breeding and Genetics. 119(2). 69–82. 27 indexed citations
17.
Freyer, G. & G. Erhardt. (2000). First results of a MAS study in dairy cattle with respect to longevity.. Archives animal breeding/Archiv für Tierzucht. 43(3). 241–247. 5 indexed citations
18.
Freyer, G. & G. Erhardt. (2000). First Results of a MAS Study in Dairy Cattle with Respect to Longevity (short communication). Archives animal breeding/Archiv für Tierzucht. 43(3). 241–248. 1 indexed citations
19.
Freyer, G., et al.. (1998). Milk protein polymorphism and relation between milk production traits.. 59–62. 1 indexed citations
20.
Das, Pritam, U. Renne, G. Freyer, et al.. (1996). Detection of QTL for body weight and body fat content in mice using genetic markers. Journal of Animal Breeding and Genetics. 113(1-6). 373–379. 17 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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