Sean MacEachern

14 total papers · 865 total citations
14 papers, 651 citations indexed

About

Sean MacEachern is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, Sean MacEachern has authored 14 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 5 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in Sean MacEachern's work include Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and RNA and protein synthesis mechanisms (4 papers). Sean MacEachern is often cited by papers focused on Genetic and phenotypic traits in livestock (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers) and RNA and protein synthesis mechanisms (4 papers). Sean MacEachern collaborates with scholars based in Australia, New Zealand and United States. Sean MacEachern's co-authors include Michael E. Goddard, Ben J. Hayes, John C. McEwan, Hans H. Cheng, William M. Muir, Keith W. Savin, Helen C. McPartlan, Amanda J. Chamberlain, Cindy Lawley and Gane Ka‐Shu Wong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular Ecology and Journal of Dairy Science.

In The Last Decade

Sean MacEachern

14 papers receiving 625 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sean MacEachern	468	166	106	81	77	14	651
Fang‐Xi Yang	263 0.6×	163 1.0×	201 1.9×	49 0.6×	79 1.0×	25	577
T. Hardge	466 1.0×	249 1.5×	109 1.0×	76 0.9×	22 0.3×	12	665
B. Benkel	498 1.1×	169 1.0×	90 0.8×	161 2.0×	103 1.3×	20	695
Bin Fan	630 1.3×	106 0.6×	124 1.2×	70 0.9×	156 2.0×	22	759
Carole Moréno	400 0.9×	160 1.0×	178 1.7×	78 1.0×	31 0.4×	31	715
David Wragg	504 1.1×	165 1.0×	117 1.1×	69 0.9×	64 0.8×	35	713
D. L. Hyndman	339 0.7×	239 1.4×	108 1.0×	96 1.2×	74 1.0×	14	597
J. Buitkamp	344 0.7×	112 0.7×	134 1.3×	101 1.2×	48 0.6×	33	678
D. Pilling	419 0.9×	151 0.9×	82 0.8×	113 1.4×	32 0.4×	14	651
Chungang Feng	526 1.1×	262 1.6×	304 2.9×	34 0.4×	71 0.9×	40	777

Countries citing papers authored by Sean MacEachern

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Sean MacEachern

This figure shows the co-authorship network connecting the top 25 collaborators of Sean MacEachern. A scholar is included among the top collaborators of Sean MacEachern 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 Sean MacEachern. Sean MacEachern is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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