G. Erhardt
Impact in
- Genetics top 0.5%
- Genetic and phenotypic traits in livestock
- Genetic diversity and population structure
- Small Animals top 0.5%
- Helminth infection and control
- Animal Behavior and Welfare Studies
Papers in
- Genetics 154
- Genetic and phenotypic traits in livestock 147
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- Helminth infection and control 13
- Animal Behavior and Welfare Studies 5
- Co-authors
- Matthias Gauly (35 shared papers)S. Chessa (8 shared papers)H. Brandt (35 shared papers)Anna Maria Caroli (3 shared papers)E.‐M. Prinzenberg (23 shared papers)Eveline Mengwi Ibeagha-Awemu (15 shared papers)Michael W. Bruford (4 shared papers)O. Jann (8 shared papers)
In The Last Decade
G. Erhardt
210 papers receiving 6.3k citations
G. Erhardt's Hit Papers
Peers
Comparison fields: 5 of 124
- Genetics 4.4k
- Small Animals 645
- Animal Science and Zoology 286
- Agronomy and Crop Science 284
- Food Science 486
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 215 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 427 | |
| 2 | 2007 | 388 | |
| 3 | 2006 | 261 | |
| 4 | Whole-genome resequencing of wild and domestic sheep identifies genes associated with morphological and agronomic traits Hit paper breakdown → | 2020 | 251 |
| 5 | 2003 | 248 | |
| 6 | 2007 | 186 | |
| 7 | 2003 | 130 | |
| 8 | 2004 | 126 | |
| 9 | 1999 | 108 | |
| 10 | 2004 | 104 | |
| 11 | 2010 | 97 | |
| 12 | 2006 | 88 | |
| 13 | 2007 | 80 | |
| 14 | 2005 | 78 | |
| 15 | 2004 | 76 | |
| 16 | 2003 | 74 | |
| 17 | 1989 | 72 | |
| 18 | 2020 | 72 | |
| 19 | 2001 | 71 | |
| 20 | 2004 | 69 |
About G. Erhardt
G. Erhardt is a scholar working on Genetics, Small Animals, Animal Science and Zoology, Agronomy and Crop Science and Molecular Biology, having authored 215 papers that have together received 6.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (147 papers), Helminth infection and control (13 papers), Prion Diseases and Protein Misfolding (11 papers), Animal Diversity and Health Studies (8 papers), Mycobacterium research and diagnosis (8 papers), Animal Nutrition and Physiology (6 papers), Animal Behavior and Welfare Studies (5 papers) and Milk Quality and Mastitis in Dairy Cows (5 papers). The work is most often cited by research in Genetics (4.4k citations), Small Animals (645 citations), Animal Science and Zoology (286 citations), Agronomy and Crop Science (284 citations) and Food Science (486 citations). G. Erhardt has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Matthias Gauly, S. Chessa, H. Brandt, Anna Maria Caroli, E.‐M. Prinzenberg, Eveline Mengwi Ibeagha-Awemu, Michael W. Bruford, O. Jann, Gesine Lühken and Christina Weimann. 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.