G. Erhardt
Impact in
- Agronomy and Crop Science top 0.1%
- Milk Quality and Mastitis in Dairy Cows
- Genetics top 0.2%
- Genetic and phenotypic traits in livestock
- Animal Genetics and Reproduction
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
Papers in
- Genetics 121
- Genetic and phenotypic traits in livestock 71
- Animal Genetics and Reproduction 57
- Genetic Mapping and Diversity in Plants and Animals 32
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- Milk Quality and Mastitis in Dairy Cows 54
- Co-authors
- Matthias Gauly (39 shared papers)S. Chessa (9 shared papers)Anna Maria Caroli (3 shared papers)Eveline M. Ibeagha‐Awemu (15 shared papers)H. Brandt (22 shared papers)E.‐M. Prinzenberg (18 shared papers)Michael W. Bruford (4 shared papers)O. Jann (9 shared papers)
In The Last Decade
G. Erhardt
205 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 137
- Agronomy and Crop Science 1.8k
- Genetics 3.2k
- Small Animals 770
- Animal Science and Zoology 889
- Food Science 978
Countries citing papers authored by G. Erhardt
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
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-authors
The 25 scholars most cited alongside G. Erhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 208 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 396 | |
| 2 | 2007 | 339 | |
| 3 | 2003 | 221 | |
| 4 | 2007 | 179 | |
| 5 | 2003 | 130 | |
| 6 | 2004 | 126 | |
| 7 | 2004 | 102 | |
| 8 | 1999 | 102 | |
| 9 | 2010 | 95 | |
| 10 | 2006 | 87 | |
| 11 | 2004 | 74 | |
| 12 | 2007 | 73 | |
| 13 | 2001 | 73 | |
| 14 | 1989 | 72 | |
| 15 | 2005 | 69 | |
| 16 | 2004 | 65 | |
| 17 | 2004 | 61 | |
| 18 | 2004 | 60 | |
| 19 | 2007 | 57 | |
| 20 | 2003 | 57 |
About G. Erhardt
G. Erhardt is a scholar working on Genetics, Agronomy and Crop Science, Molecular Biology, Animal Science and Zoology and Food Science, having authored 208 papers that have together received 5.6k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (71 papers), Animal Genetics and Reproduction (57 papers), Milk Quality and Mastitis in Dairy Cows (54 papers), Genetic Mapping and Diversity in Plants and Animals (32 papers), Animal Diversity and Health Studies (19 papers), Animal Nutrition and Physiology (18 papers), Helminth infection and control (17 papers) and Protein Hydrolysis and Bioactive Peptides (15 papers). The work is most often cited by research in Agronomy and Crop Science (1.8k citations), Genetics (3.2k citations), Small Animals (770 citations), Animal Science and Zoology (889 citations) and Food Science (978 citations). G. Erhardt has collaborated with scholars based in Germany, Italy and France. Frequent 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. Their work appears in journals such as Animal Genetics, Journal of Dairy Science, Journal of Animal Breeding and Genetics, Veterinary Parasitology and Small Ruminant Research.
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.