Iona M. MacLeod

3.7k total citations
81 papers, 2.2k citations indexed

About

Iona M. MacLeod is a scholar working on Genetics, Plant Science and Cancer Research. According to data from OpenAlex, Iona M. MacLeod has authored 81 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 19 papers in Plant Science and 18 papers in Cancer Research. Recurrent topics in Iona M. MacLeod's work include Genetic and phenotypic traits in livestock (72 papers), Genetic Mapping and Diversity in Plants and Animals (53 papers) and Cancer-related molecular mechanisms research (18 papers). Iona M. MacLeod is often cited by papers focused on Genetic and phenotypic traits in livestock (72 papers), Genetic Mapping and Diversity in Plants and Animals (53 papers) and Cancer-related molecular mechanisms research (18 papers). Iona M. MacLeod collaborates with scholars based in Australia, United Kingdom and United States. Iona M. MacLeod's co-authors include Ben J. Hayes, Michael E. Goddard, Amanda J. Chamberlain, Hans D. Daetwyler, Tom Druet, Ruidong Xiang, Kathryn E. Kemper, Sunduimijid Bolormaa, J.E. Pryce and Christy J. Vander Jagt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Iona M. MacLeod

80 papers receiving 2.2k citations

Peers

Iona M. MacLeod

GENET

ACS

Stephanie McKay United States

Sunduimijid Bolormaa Australia

Jared E. Decker United States

Nadine Cambisano Belgium

Alessandra Stella Italy

Latifa Karim Belgium

Fuping Zhao China

Amanda J. Chamberlain Australia

Hubert Pausch Switzerland

Gwenola Tosser‐Klopp France

Stephanie McKay United States

Iona M. MacLeod

1.7k ×0.9

GENET

461 ×0.9

430 ×0.9

327 ×0.9

ACS

584 ×1.6

Citations per year, relative to Iona M. MacLeod Iona M. MacLeod (= 1×) peers Stephanie McKay

Countries citing papers authored by Iona M. MacLeod

Since Specialization

Citations

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

Fields of papers citing papers by Iona M. MacLeod

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Iona M. MacLeod. 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 Iona M. MacLeod. The network helps show where Iona M. MacLeod may publish in the future.

Co-authorship network of co-authors of Iona M. MacLeod

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

All Works

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20 of 20 papers shown

MacLeod, Iona M., Amanda J. Chamberlain, Zhiqian Liu, et al.. (2025). An integrative approach to prioritize candidate causal genes for complex traits in cattle. PLoS Genetics. 21(5). e1011492–e1011492. 3 indexed citations

Bolormaa, Sunduimijid, M. Haile‐Mariam, Leah C. Marett, et al.. (2023). Use of dry-matter intake recorded at multiple time periods during lactation increases the accuracy of genomic prediction for dry-matter intake and residual feed intake in dairy cattle. Animal Production Science. 63(11). 1113–1125. 1 indexed citations

Haile‐Mariam, M., et al.. (2023). Evaluating the potential impact of selection for the A2 milk allele on inbreeding and performance in Australian Holstein cattle. SHILAP Revista de lepidopterología. 4. 6 indexed citations

Xiang, Ruidong, Lingzhao Fang, Shuli Liu, et al.. (2023). Gene expression and RNA splicing explain large proportions of the heritability for complex traits in cattle. Cell Genomics. 3(10). 100385–100385. 27 indexed citations

Xiang, Ruidong, Sunduimijid Bolormaa, Christy J. Vander Jagt, et al.. (2021). Mutant alleles differentially shape fitness and other complex traits in cattle. Communications Biology. 4(1). 9 indexed citations

MacLeod, Iona M., Amanda J. Chamberlain, Christy J. Vander Jagt, et al.. (2020). Mitochondrial protein gene expression and the oxidative phosphorylation pathway associated with feed efficiency and energy balance in dairy cattle. Journal of Dairy Science. 104(1). 575–587. 19 indexed citations

Khansefid, Majid, Michael E. Goddard, M. Haile‐Mariam, et al.. (2020). Improving Genomic Prediction of Crossbred and Purebred Dairy Cattle. Frontiers in Genetics. 11. 598580–598580. 24 indexed citations

Xiang, Ruidong, Irene van den Berg, Iona M. MacLeod, et al.. (2019). Quantifying the contribution of sequence variants with regulatory and evolutionary significance to 34 bovine complex traits. Proceedings of the National Academy of Sciences. 116(39). 19398–19408. 102 indexed citations

Goddard, Michael E., Iona M. MacLeod, Kathryn E. Kemper, et al.. (2018). The use of multi-breed reference populations and multi-omic data to maximize accuracy of genomic prediction. Queensland's institutional digital repository (The University of Queensland). 115. 2 indexed citations

10.

Chamberlain, Amanda J., Ben J. Hayes, Ruidong Xiang, et al.. (2018). Identification of regulatory variation in dairy cattle with RNA sequence data. Proceedings of the World Congress on Genetics Applied to Livestock Production. 254. 8 indexed citations

11.

Khansefid, Majid, Sunduimijid Bolormaa, Andrew Swan, et al.. (2018). Exploiting sequence variants for genomic prediction in Australian sheep using Bayesian models. RUNE (Research UNE). 253. 2 indexed citations

12.

Moghaddar, Nasir, Iona M. MacLeod, Naomi Duijvesteijn, et al.. (2018). Genomic evaluation based on selected variants from imputed whole-genome sequence data in Australian sheep populations. RUNE (Research UNE). 456. 4 indexed citations

13.

Bolormaa, Sunduimijid, Amanda J. Chamberlain, J. H. J. van der Werf, Hans D. Daetwyler, & Iona M. MacLeod. (2018). Evaluating the accuracy of imputed whole genome sequence in sheep. Proceedings of the World Congress on Genetics Applied to Livestock Production. 263. 1 indexed citations

14.

Wang, Min, Timothy Hancock, Iona M. MacLeod, et al.. (2017). Putative enhancer sites in the bovine genome are enriched with variants affecting complex traits. Genetics Selection Evolution. 49(1). 56–56. 21 indexed citations

15.

Chen, Yi‐Ping Phoebe, et al.. (2017). Application of a Bayesian non-linear model hybrid scheme to sequence data for genomic prediction and QTL mapping. BMC Genomics. 18(1). 618–618. 15 indexed citations

16.

MacLeod, Iona M.. (2014). A Bayesian analysis to exploit imputed sequence variants for QTL discovery. Proceedings of the World Congress on Genetics Applied to Livestock Production. 193. 6 indexed citations

17.

MacLeod, Iona M., et al.. (2013). Short communication: Estimation of genetic parameters for residual feed intake and feeding behavior traits in dairy heifers. Journal of Dairy Science. 96(4). 2654–2656. 25 indexed citations

18.

Hayes, Ben J., Iona M. MacLeod, & Matthew Baranski. (2009). Sampling strategies for whole genome association studies in aquaculture and outcrossing plant species. Genetics Research. 91(6). 367–371. 5 indexed citations

19.

MacLeod, Iona M., Ben J. Hayes, Keith W. Savin, et al.. (2009). Power of a genome scan to detect and locate quantitative trait loci in cattle using dense single nucleotide polymorphisms. Journal of Animal Breeding and Genetics. 127(2). 133–142. 37 indexed citations

20.

MacLeod, Iona M., Ben J. Hayes, & Michael E. Goddard. (2006). Efficiency of dense bovine single-nucleotide polymorphisms to detect and position quantitative trait loci.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 7 indexed citations

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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