S. Mc Parland

586 citations
11 papers · 422 indexed · h-index 5
Topics
Genetic and phenotypic traits in livestock (11 papers)Reproductive Physiology in Livestock (5 papers)Genetic Mapping and Diversity in Plants and Animals (4 papers)

In The Last Decade

S. Mc Parland

11 papers receiving 398 citations

Peers

S. Mc Parland
Comparison fields: 5 of 42
  • Genetics 371
  • Agronomy and Crop Science 182
  • Plant Science 71
  • Animal Science and Zoology 63
  • Cancer Research 24
Replace Gabriel Soares Campos with:
Gabriel Soares Campos Brazil
Sebastian Mucha Poland
Maria do Socorro Maués Albuquerque Brazil
A.C. Sørensen Denmark
М. Г. Смарагдов Russia
Sônia Maria Pinheiro de Oliveira Brazil
Janez Jenko United Kingdom
G. N. Akpa Nigeria
J. C. do C. Panetto Brazil
Rodrigo Reis Mota Belgium
S. Mc Parland relative to Gabriel Soares Campos Brazil Gabriel Soares Campos's profile →
Citations per field
00.5×10.5×
Gabriel Soares Campos · 1×
Citations per year

Countries citing papers authored by S. Mc Parland

Since Specialization
Citations

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

Fields of papers citing papers by S. Mc Parland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Mc Parland. 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 S. Mc Parland. The network helps show where S. Mc Parland may publish in the future.

Co-authorship network of co-authors of S. Mc Parland

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Use of phenotypes from research herds to develop genomic selection for scarcely recorded traits like feed efficiency
3
2 67
3 3
4 1
5
Predicting Energy Balance Status of Holstein cows using Mid-Infrared Spectral data
1
6
GenomeWide Association Study for Milk Production and Fat to Protein Ratio in Dairy Cattle
2
7
Optimal system of contract matings for use in a commercial dairy population
2
8 71
9 15
10 126
11 131

About S. Mc Parland

S. Mc Parland is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 11 papers that have together received 422 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (11 papers), Reproductive Physiology in Livestock (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Agronomy and Crop Science (182 citations), Genetics (371 citations) and Animal Science and Zoology (63 citations). S. Mc Parland has collaborated with scholars based in Ireland, Netherlands and United Kingdom. Frequent co-authors include D.P. Berry, John F. Kearney, M. Rath, F. Kearney, R.D. Evans, David E. MacHugh, M.P. Coffey, Linda Giblin, N. López‐Villalobos and R.F. Veerkamp. Their work appears in journals such as Journal of Dairy Science, Journal of Animal Science and Theriogenology.

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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