G. Erhardt

8.2k total citations
208 papers, 5.6k citations indexed

About

G. Erhardt is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, G. Erhardt has authored 208 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Genetics, 65 papers in Agronomy and Crop Science and 56 papers in Molecular Biology. Recurrent topics in G. Erhardt's work include Genetic and phenotypic traits in livestock (71 papers), Animal Genetics and Reproduction (57 papers) and Milk Quality and Mastitis in Dairy Cows (54 papers). G. Erhardt is often cited by papers focused on Genetic and phenotypic traits in livestock (71 papers), Animal Genetics and Reproduction (57 papers) and Milk Quality and Mastitis in Dairy Cows (54 papers). G. Erhardt collaborates with scholars based in Germany, Italy and France. G. Erhardt's co-authors include Matthias Gauly, S. Chessa, Anna Maria Caroli, Eveline M. Ibeagha‐Awemu, H. Brandt, E.‐M. Prinzenberg, Michael W. Bruford, O. Jann, C. Weimann and Gesine Lühken and has published in prestigious journals such as Nature Genetics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

G. Erhardt

205 papers receiving 5.3k 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. Erhardt Germany 40 3.3k 1.8k 1.4k 967 914 208 5.6k
H. Bovenhuis Netherlands 44 3.9k 1.2× 2.0k 1.1× 593 0.4× 445 0.5× 1.9k 2.1× 168 5.9k
Heriberto Rodríguez‐Martínez Sweden 69 3.7k 1.1× 4.5k 2.4× 2.1k 1.5× 262 0.3× 809 0.9× 549 16.8k
Paolo Ajmone‐Marsan Italy 43 4.6k 1.4× 1.2k 0.6× 1.4k 1.0× 499 0.5× 862 0.9× 200 6.4k
B. Colenbrander Netherlands 52 1.7k 0.5× 1.8k 1.0× 1.8k 1.3× 165 0.2× 375 0.4× 232 8.4k
David E. MacHugh Ireland 44 4.2k 1.3× 754 0.4× 1.8k 1.3× 340 0.4× 569 0.6× 151 6.8k
K. G. Dodds New Zealand 38 4.2k 1.3× 1.5k 0.8× 1.6k 1.1× 207 0.2× 708 0.8× 213 6.6k
Ruedi Fries Germany 49 6.4k 1.9× 894 0.5× 3.1k 2.2× 293 0.3× 948 1.0× 232 9.2k
Luiz Lehmann Coutinho Brazil 43 2.9k 0.9× 860 0.5× 1.9k 1.4× 149 0.2× 1.5k 1.7× 308 5.9k
M. F. Rothschild United States 42 3.5k 1.0× 614 0.3× 1.0k 0.7× 121 0.1× 2.3k 2.5× 258 5.7k
Bertram Brenig Germany 32 1.7k 0.5× 308 0.2× 1.9k 1.3× 320 0.3× 429 0.5× 316 4.1k

Countries citing papers authored by G. Erhardt

Since Specialization
Citations

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

Fields of papers citing papers by G. Erhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of G. Erhardt. A scholar is included among the top collaborators of G. Erhardt 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. Erhardt. G. Erhardt 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.
Erhardt, G., et al.. (2016). Alpha S1-casein polymorphisms in camel (Camelus dromedarius) and descriptions of biological active peptides and allergenic epitopes. Tropical Animal Health and Production. 48(5). 879–887. 22 indexed citations
2.
Prinzenberg, E.‐M., et al.. (2013). CSN1S1 Gene: Allele Frequency, and the Relationship with Milk Production Traits in Three Indigenous Cattle Breeds and Holstein. Iranian journal of applied animal science. 3(3). 497–502. 1 indexed citations
3.
Pauciullo, Alfredo, et al.. (2012). A cytogenetic investigation on the Lethal White Syndrome in sheep. Chromosome Research. 20(6). 781–782. 1 indexed citations
4.
Glenske, Kristina, H. Brandt, E.‐M. Prinzenberg, Matthias Gauly, & G. Erhardt. (2010). Verification of a QTL on BTA1 for temperament in German Simmental and German Angus calves.. 53(4). 388–392. 5 indexed citations
5.
Achukwi, Mbunkah Daniel, et al.. (2009). Doayo (Namchi) Bos taurus cattle with low zebu attributes are trypanotolerant under natural vector challenge.. 13(1). 94–105. 5 indexed citations
6.
Brandt, H., et al.. (2008). Heritability Estimates for Antibody Response to Mycobacterium avium subspecies paratuberculosis in German Holstein Cattle. Journal of Dairy Science. 91(8). 3237–3244. 37 indexed citations
7.
Ibeagha‐Awemu, Eveline M., E.‐M. Prinzenberg, O. Jann, et al.. (2007). Molecular Characterization of Bovine CSN1S2B and Extensive Distribution of Zebu-Specific Milk Protein Alleles in European Cattle. Journal of Dairy Science. 90(7). 3522–3529. 25 indexed citations
8.
Erhardt, G. & C. Weimann. (2007). USE OF MOLECULAR MARKERS FOR EVALUATION OF GENETIC DIVERSITY AND IN ANIMAL PRODUCTION. TSpace. 15(5). 23 indexed citations
9.
Lühken, Gesine, et al.. (2007). Microsatellites MCMA53 and MCMA16 on OAR15 are associated with susceptibility to atypical scrapie. Animal Genetics. 38(1). 88–89. 4 indexed citations
10.
Lühken, Gesine, et al.. (2006). PRNP gene polymorphism in 136, 154 and 171 codons in Polish sheep breeds.. Medycyna Weterynaryjna. 62(8). 938–941. 6 indexed citations
11.
Prinzenberg, E.‐M., et al.. (2006). A phenotypic and genetic approach to temperament in German beef cattle.. 1 indexed citations
12.
Hamann, H., et al.. (2005). [Genotype effects of milk protein polymorphisms on milk production in East Friesian dairy sheep].. PubMed. 117(9-10). 414–9. 10 indexed citations
13.
Chessa, S., G. Ceriotti, Cataldo Dario, G. Erhardt, & A. Caroli. (2003). Genetic polymorphisms of αs1-, αs2-and k-casein in Maltese goat breed. SHILAP Revista de lepidopterología. 2 indexed citations
14.
Erhardt, G., et al.. (2002). Voraussetzungen und Möglichkeiten für die Genotypisierung von Schafen auf Scrapie-Resistenz im Rahmen von Zuchtprogrammen. OpenAgrar. 1 indexed citations
15.
Gauly, Matthias, et al.. (2001). Difference in temperament of beef cattle regarding breed and sex. View. 1 indexed citations
16.
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
17.
Hartwig, A., H. Teschemacher, Wolf D. Lehmann, Matthias Gauly, & G. Erhardt. (1997). VII.3 - Influence of genetic polymorphisms in bovine milk on the occurrence of bioactive peptides. 459–460. 18 indexed citations
18.
Hiendleder, Stefan, et al.. (1996). Molecular genetic characterization of new bovine kappa‐casein alleles CSN3F and CSN3G and genotyping by PCR‐RFLP. Animal Genetics. 27(5). 347–349. 18 indexed citations
19.
Erhardt, G., et al.. (1990). Investigations on the relationships between milk yield, udder health, milk protein and blood protein polymorphism in cattle.. Züchtungskunde. 62(1). 3–14.
20.
Meyer, F., et al.. (1989). Bovine lymphocyte antigens bola and their associations with udder health and milk production traits. Züchtungskunde. 61(1). 28–40. 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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