Sean MacEachern
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetic diversity and population structure
- Animal Genetics and Reproduction
- Animal Science and Zoology top 5%
- Animal Nutrition and Physiology
- Livestock and Poultry Management
Papers in
- Genetics 6
- Genetic and phenotypic traits in livestock 6
- Genetic Mapping and Diversity in Plants and Animals 5
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- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 2
- Co-authors
- Michael E. Goddard (7 shared papers)Ben J. Hayes (4 shared papers)John C. McEwan (5 shared papers)William M. Muir (4 shared papers)Hans H. Cheng (4 shared papers)Keith W. Savin (3 shared papers)Amanda J. Chamberlain (2 shared papers)Helen C. McPartlan (2 shared papers)
- Journals
- BMC Genomics (3 papers)Animal Genetics (2 papers)Genetics Selection Evolution (2 papers)Molecular Ecology (2 papers)Frontiers in Genetics (1 paper)
- Partner nations
- AustraliaNew ZealandUnited States
In The Last Decade
Sean MacEachern
14 papers receiving 627 citations
Peers
Comparison fields: 5 of 60
- Genetics 471
- Animal Science and Zoology 166
- Agronomy and Crop Science 81
- Cancer Research 77
- Insect Science 37
Countries citing papers authored by Sean MacEachern
This map shows the geographic impact of Sean MacEachern'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 Sean MacEachern with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sean MacEachern more than expected).
Fields of papers citing papers by Sean MacEachern
This network shows the impact of papers produced by Sean MacEachern. 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 Sean MacEachern. The network helps show where Sean MacEachern may publish in the future.
Co-authors
The 25 scholars most cited alongside Sean MacEachern, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 220 | |
| 2 | 2008 | 97 | |
| 3 | 2009 | 69 | |
| 4 | 2008 | 64 | |
| 5 | 2009 | 50 | |
| 6 | 2012 | 38 | |
| 7 | 2006 | 33 | |
| 8 | 2009 | 30 | |
| 9 | 2012 | 20 | |
| 10 | 2011 | 15 | |
| 11 | 2006 | 8 | |
| 12 | 2012 | 5 | |
| 13 | 2006 | 3 | |
| 14 | 2006 | 1 |
About Sean MacEachern
Sean MacEachern is a scholar working on Genetics, Molecular Biology, Epidemiology, Ecology and Insect Science, having authored 14 papers that have together received 653 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), RNA and protein synthesis mechanisms (4 papers), Herpesvirus Infections and Treatments (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Genomics and Phylogenetic Studies (2 papers), Forest Management and Policy (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Genetics (471 citations), Animal Science and Zoology (166 citations), Agronomy and Crop Science (81 citations), Cancer Research (77 citations) and Insect Science (37 citations). Sean MacEachern has collaborated with scholars based in Australia, New Zealand and United States. Frequent co-authors include Michael E. Goddard, Ben J. Hayes, John C. McEwan, William M. Muir, Hans H. Cheng, Keith W. Savin, Amanda J. Chamberlain, Helen C. McPartlan, Gane Ka‐Shu Wong and Yong Zhang. Their work appears in journals such as BMC Genomics, Animal Genetics, Genetics Selection Evolution, Molecular Ecology and Frontiers in Genetics.
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.