Helen C. McPartlan
- Genetics top 2%
- Plant Science top 10%
- Molecular Biology
- Cancer Research
- Ecology
- Co-authors
- Michael E. GoddardBen J. HayesPeter M. VisscherPhillip J. DaleAmanda J. ChamberlainIona M. MacLeodKeith W. SavinMeaghan L. Rourke
- Topics
- Genetic and phenotypic traits in livestock (10 papers)Genetic Mapping and Diversity in Plants and Animals (9 papers)Genetic diversity and population structure (7 papers)
- Partner nations
- AustraliaUnited KingdomBulgaria
In The Last Decade
Helen C. McPartlan
21 papers receiving 911 citations
Peers
Comparison fields: 5 of 61
- Genetics 768
- Plant Science 313
- Molecular Biology 170
- Cancer Research 100
- Ecology 92
Countries citing papers authored by Helen C. McPartlan
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 38 | |
| 2 | 18 | |
| 3 | 15 | |
| 4 | 21 | |
| 5 | 37 | |
| 6 | 3 | |
| 7 | 97 | |
| 8 | 6 | |
| 9 | 83 | |
| 10 | 3 | |
| 11 | Cross validation of QTL from linkage analysis and linkage disequilibrium analysis | 3 |
| 12 | 24 | |
| 13 | Can the same genetic markers be used in multiple breeds | 30 |
| 14 | 9 | |
| 15 | 359 | |
| 16 | 71 | |
| 17 | DNA testing for breeding better sheep. | 1 |
| 18 | Applications of DNA fingerprinting for pedigree verification. | 3 |
| 19 | 55 | |
| 20 | 75 |
About Helen C. McPartlan
Helen C. McPartlan is a scholar working on Genetics, Aquatic Science and Nature and Landscape Conservation, having authored 21 papers that have together received 962 indexed citations. Recurring topics across this 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). The work is most often cited by research in Genetics (768 citations), Agronomy and Crop Science (86 citations) and Plant Science (313 citations). Helen C. McPartlan has collaborated with scholars based in Australia, United Kingdom and Bulgaria. Frequent 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. Their work appears in journals such as Genetics, Genome Research and Molecular Ecology.
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.