Rick Tearle

3.2k total citations
38 papers, 775 citations indexed

About

Rick Tearle is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Rick Tearle has authored 38 papers receiving a total of 775 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 13 papers in Molecular Biology and 9 papers in Animal Science and Zoology. Recurrent topics in Rick Tearle's work include Genetic and phenotypic traits in livestock (11 papers), Animal Virus Infections Studies (6 papers) and Virology and Viral Diseases (5 papers). Rick Tearle is often cited by papers focused on Genetic and phenotypic traits in livestock (11 papers), Animal Virus Infections Studies (6 papers) and Virology and Viral Diseases (5 papers). Rick Tearle collaborates with scholars based in Australia, United States and Vietnam. Rick Tearle's co-authors include A.J. Howells, Mick McKeown, Betsy Baker, John M. Belote, Wai Yee Low, J. L. Williams, Paolo Ajmone‐Marsan, Amanda R. Walker, Timothy P. L. Smith and Derek M. Bickhart and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Rick Tearle

36 papers receiving 762 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rick Tearle Australia 14 379 330 100 68 68 38 775
Huayu Qi China 17 530 1.4× 398 1.2× 48 0.5× 26 0.4× 47 0.7× 33 1.5k
Norio Kansaku Japan 18 236 0.6× 423 1.3× 84 0.8× 190 2.8× 34 0.5× 58 908
Aurore Thélie France 15 609 1.6× 302 0.9× 75 0.8× 28 0.4× 40 0.6× 25 1.0k
Justin M. Fear United States 13 288 0.8× 212 0.6× 49 0.5× 137 2.0× 29 0.4× 19 680
Juliette Cognié France 17 326 0.9× 186 0.6× 175 1.8× 89 1.3× 65 1.0× 40 1.2k
Imke Tammen Australia 19 296 0.8× 556 1.7× 118 1.2× 62 0.9× 103 1.5× 63 1.1k
N. E. Cockett United States 16 584 1.5× 516 1.6× 78 0.8× 104 1.5× 83 1.2× 44 995
Luis Miguel Pastor Spain 19 349 0.9× 145 0.4× 34 0.3× 45 0.7× 23 0.3× 92 1.0k
Derek McBride United Kingdom 13 364 1.0× 467 1.4× 66 0.7× 73 1.1× 151 2.2× 17 852
J. Jacob Brazil 20 509 1.3× 214 0.6× 146 1.5× 42 0.6× 28 0.4× 86 1.1k

Countries citing papers authored by Rick Tearle

Since Specialization
Citations

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

Fields of papers citing papers by Rick Tearle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rick Tearle. 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 Rick Tearle. The network helps show where Rick Tearle may publish in the future.

Co-authorship network of co-authors of Rick Tearle

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

All Works

20 of 20 papers shown
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2.
Tearle, Rick, Tong Chen, & F. D. Brien. (2024). A 3‐bp deletion in the SLC45A2 gene is associated with loss of fleece pigmentation in black‐fleeced Suffolk sheep. Animal Genetics. 56(1). e13495–e13495. 2 indexed citations
3.
Liu, Ning, Rick Tearle, Wai Yee Low, et al.. (2023). Topologically associating domains in the POLLED region are the same for Angus‐ and Brahman‐specific Hi‐C reads from F1 hybrid fetal tissue. Animal Genetics. 54(4). 536–543. 1 indexed citations
4.
Low, Wai Yee, et al.. (2022). Newcastle disease virus genotype VII gene expression in experimentally infected birds. Scientific Reports. 12(1). 5249–5249. 6 indexed citations
5.
Speight, Natasha, et al.. (2021). Molecular Diagnosis of Koala Retrovirus (KoRV) in South Australian Koalas (Phascolarctos cinereus). Animals. 11(5). 1477–1477. 5 indexed citations
6.
Macciotta, N.P.P., Licia Colli, Alberto Cesarani, et al.. (2021). The distribution of runs of homozygosity in the genome of river and swamp buffaloes reveals a history of adaptation, migration and crossbred events. Genetics Selection Evolution. 53(1). 20–20. 25 indexed citations
7.
Barbato, Mario, Michael P. Reichel, Wai Yee Low, et al.. (2020). A genetically unique Chinese cattle population shows evidence of common ancestry with wild species when analysed with a reduced ascertainment bias SNP panel. PLoS ONE. 15(4). e0231162–e0231162. 13 indexed citations
8.
Brugger, Joël, Barbara Etschmann, Stephen Pederson, et al.. (2020). Metal resistant bacteria on gold particles: Implications of how anthropogenic contaminants could affect natural gold biogeochemical cycling. The Science of The Total Environment. 727. 138698–138698. 10 indexed citations
9.
Low, Wai Yee, Rick Tearle, Derek M. Bickhart, et al.. (2019). Chromosome-level assembly of the water buffalo genome surpasses human and goat genomes in sequence contiguity. Nature Communications. 10(1). 260–260. 98 indexed citations
10.
McWhorter, Andrea R., et al.. (2019). In vivo passage of Salmonella Typhimurium results in minor mutations in the bacterial genome and increases in vitro invasiveness. Veterinary Research. 50(1). 71–71. 4 indexed citations
11.
Liu, Ruijie, Wai Yee Low, Rick Tearle, et al.. (2019). New insights into mammalian sex chromosome structure and evolution using high-quality sequences from bovine X and Y chromosomes. BMC Genomics. 20(1). 1000–1000. 25 indexed citations
12.
Jacob‐Hirsch, Jasmine, Eran Eyal, Binyamin A. Knisbacher, et al.. (2018). Whole-genome sequencing reveals principles of brain retrotransposition in neurodevelopmental disorders. Cell Research. 28(2). 187–203. 51 indexed citations
13.
14.
Ellingford, Jamie M., Stephanie Barton, Sanjeev S. Bhaskar, et al.. (2016). Whole Genome Sequencing Increases Molecular Diagnostic Yield Compared with Current Diagnostic Testing for Inherited Retinal Disease. Ophthalmology. 123(5). 1143–1150. 93 indexed citations
15.
Peters, Brock A., Bahram G. Kermani, Misha R. Agarwal, et al.. (2015). Detection and phasing of single base de novo mutations in biopsies from human in vitro fertilized embryos by advanced whole-genome sequencing. Genome Research. 25(3). 426–434. 37 indexed citations
16.
Tearle, Rick, et al.. (2014). A whole genome analyses of genetic variants in two Kelantan Malay individuals. PubMed. 8(1). 4–4. 4 indexed citations
17.
Swagemakers, Sigrid, Nicolaas G.J. Jaspers, Anja Raams, et al.. (2014). Pollitt syndrome patients carry mutation in TTDN1. Meta Gene. 2. 616–618. 4 indexed citations
18.
Ma, Yussanne, Sara E. Dobbins, Amy L. Sherborne, et al.. (2013). Developmental timing of mutations revealed by whole-genome sequencing of twins with acute lymphoblastic leukemia. Proceedings of the National Academy of Sciences. 110(18). 7429–7433. 33 indexed citations
19.
Tearle, Rick. (1991). Tissue specific effects of ommochrome pathway mutations inDrosophila melanogaster. Genetics Research. 57(3). 257–266. 56 indexed citations
20.
Tearle, Rick, John M. Belote, Mick McKeown, Betsy Baker, & A.J. Howells. (1989). Cloning and characterization of the scarlet gene of Drosophila melanogaster.. Genetics. 122(3). 595–606. 104 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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