Helen C. McPartlan

30 total papers · 1.3k total citations
21 papers, 961 citations indexed

About

Helen C. McPartlan is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Helen C. McPartlan has authored 21 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Genetics, 6 papers in Plant Science and 5 papers in Molecular Biology. Recurrent topics in Helen C. McPartlan's work include Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic diversity and population structure (7 papers). Helen C. McPartlan is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic diversity and population structure (7 papers). Helen C. McPartlan collaborates with scholars based in Australia, United Kingdom and United States. Helen C. McPartlan's co-authors include Michael E. Goddard, Ben J. Hayes, Peter M. Visscher, Phillip J. Dale, Amanda J. Chamberlain, Iona M. MacLeod, Keith W. Savin, Meaghan L. Rourke, Sean MacEachern and Brett A. Ingram and has published in prestigious journals such as Genetics, Genome Research and Molecular Ecology.

In The Last Decade

Helen C. McPartlan

21 papers receiving 910 citations

Author Peers

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

Author						Papers	Cites
Helen C. McPartlan	767	313	170	100	92	21	961
Hovirag Lancioni	713 0.9×	72 0.2×	311 1.8×	46 0.5×	109 1.2×	53	1.1k
Ingrid Olsaker	562 0.7×	152 0.5×	355 2.1×	60 0.6×	54 0.6×	26	991
Markus Neuditschko	873 1.1×	82 0.3×	116 0.7×	75 0.8×	56 0.6×	56	1.0k
Sirkka‐Liisa Varvio	692 0.9×	211 0.7×	235 1.4×	29 0.3×	307 3.3×	23	1.1k
M. Cara	793 1.0×	247 0.8×	159 0.9×	64 0.6×	72 0.8×	30	1.2k
Martijn F. L. Derks	523 0.7×	274 0.9×	358 2.1×	89 0.9×	89 1.0×	59	1.0k
Leif Andersson	871 1.1×	261 0.8×	246 1.4×	80 0.8×	23 0.3×	27	1.2k
Shuaishuai Tai	509 0.7×	540 1.7×	227 1.3×	22 0.2×	26 0.3×	18	840
Junjie Shi	410 0.5×	648 2.1×	569 3.3×	91 0.9×	44 0.5×	25	1.2k
Maxime Bonhomme	379 0.5×	469 1.5×	140 0.8×	31 0.3×	95 1.0×	37	1.1k

Countries citing papers authored by Helen C. McPartlan

Since Specialization

Citations

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

Fields of papers citing papers by Helen C. McPartlan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen C. McPartlan. 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 Helen C. McPartlan. The network helps show where Helen C. McPartlan may publish in the future.

Co-authorship network of co-authors of Helen C. McPartlan

This figure shows the co-authorship network connecting the top 25 collaborators of Helen C. McPartlan. A scholar is included among the top collaborators of Helen C. McPartlan 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 Helen C. McPartlan. Helen C. McPartlan 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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