Timothy P. Bilton

506 total citations
12 papers, 234 citations indexed

About

Timothy P. Bilton is a scholar working on Genetics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, Timothy P. Bilton has authored 12 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 4 papers in Agronomy and Crop Science and 3 papers in Plant Science. Recurrent topics in Timothy P. Bilton's work include Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Timothy P. Bilton is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (4 papers) and Ruminant Nutrition and Digestive Physiology (3 papers). Timothy P. Bilton collaborates with scholars based in New Zealand, Sweden and Denmark. Timothy P. Bilton's co-authors include K. G. Dodds, Andrew G. Griffiths, Roger Moraga, Michael A. Black, John C. McEwan, Phillip L. Wilcox, Matthew Schofield, David Chagné, Shannon Clarke and Rüdiger Bräuning and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Plant Cell and Genetics.

In The Last Decade

Timothy P. Bilton

12 papers receiving 231 citations

Peers

Timothy P. Bilton
Timothy P. Bilton
Citations per year, relative to Timothy P. Bilton Timothy P. Bilton (= 1×) peers Morten Greve Pedersen

Countries citing papers authored by Timothy P. Bilton

Since Specialization
Citations

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

Fields of papers citing papers by Timothy P. Bilton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Timothy P. Bilton. 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 Timothy P. Bilton. The network helps show where Timothy P. Bilton may publish in the future.

Co-authorship network of co-authors of Timothy P. Bilton

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

All Works

12 of 12 papers shown
1.
Alemu, Setegn Worku, Timothy P. Bilton, Patricia L. Johnson, et al.. (2025). Improving genomic prediction accuracy for methane emission and feed efficiency in sheep: integrating rumen microbial PCA with host genomic variation using neural network GBLUP (NN-GBLUP). Genetics Selection Evolution. 57(1). 41–41. 1 indexed citations
2.
Bilton, Timothy P., Sanjeev Sharma, Matthew Schofield, et al.. (2024). Construction of relatedness matrices in autopolyploid populations using low-depth high-throughput sequencing data. Theoretical and Applied Genetics. 137(3). 64–64. 1 indexed citations
3.
Lee, Kai, Blair Lawley, Timothy P. Bilton, et al.. (2023). Directed Evolution of Seneca Valley Virus in Tumorsphere and Monolayer Cell Cultures of a Small-Cell Lung Cancer Model. Cancers. 15(9). 2541–2541. 4 indexed citations
4.
Hickey, S. M., W. E. Bain, Timothy P. Bilton, et al.. (2022). Impact of breeding for reduced methane emissions in New Zealand sheep on maternal and health traits. Frontiers in Genetics. 13. 910413–910413. 7 indexed citations
5.
Bilton, Timothy P., Hannah Henry, K. G. Dodds, et al.. (2022). Low-cost sample preservation methods for high-throughput processing of rumen microbiomes. SHILAP Revista de lepidopterología. 4(1). 39–39. 3 indexed citations
6.
Palaiokostas, Christos, Shannon Clarke, Rüdiger Bräuning, et al.. (2020). Application of Low Coverage Genotyping by Sequencing in Selectively Bred Arctic Charr (Salvelinus alpinus). G3 Genes Genomes Genetics. 10(6). 2069–2078. 11 indexed citations
7.
Bilton, Timothy P., Shannon Clarke, Rüdiger Bräuning, et al.. (2019). Using genotyping‐by‐sequencing to predict gender in animals. Animal Genetics. 50(3). 307–310. 4 indexed citations
8.
Griffiths, Andrew G., Roger Moraga, Vikas Gupta, et al.. (2019). Breaking Free: The Genomics of Allopolyploidy-Facilitated Niche Expansion in White Clover. The Plant Cell. 31(7). 1466–1487. 87 indexed citations
9.
Bilton, Timothy P., John C. McEwan, Shannon Clarke, et al.. (2018). Linkage Disequilibrium Estimation in Low Coverage High-Throughput Sequencing Data. Genetics. 209(2). 389–400. 23 indexed citations
10.
Bilton, Timothy P., Matthew Schofield, Michael A. Black, et al.. (2018). Accounting for Errors in Low Coverage High-Throughput Sequencing Data When Constructing Genetic Maps Using Biparental Outcrossed Populations. Genetics. 209(1). 65–76. 33 indexed citations
11.
Faville, Marty J., Siva Ganesh, Mingshu Cao, et al.. (2017). Predictive ability of genomic selection models in a multi-population perennial ryegrass training set using genotyping-by-sequencing. Theoretical and Applied Genetics. 131(3). 703–720. 57 indexed citations
12.
Hazelton, Martin L. & Timothy P. Bilton. (2017). Polytope samplers for network tomography. Australian & New Zealand Journal of Statistics. 59(4). 495–511. 3 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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