Claire M. Wade

21.1k total citations · 1 hit paper
118 papers, 5.0k citations indexed

About

Claire M. Wade is a scholar working on Genetics, Molecular Biology and Small Animals. According to data from OpenAlex, Claire M. Wade has authored 118 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Genetics, 37 papers in Molecular Biology and 29 papers in Small Animals. Recurrent topics in Claire M. Wade's work include Genetic and phenotypic traits in livestock (36 papers), Human-Animal Interaction Studies (25 papers) and Animal Behavior and Welfare Studies (17 papers). Claire M. Wade is often cited by papers focused on Genetic and phenotypic traits in livestock (36 papers), Human-Animal Interaction Studies (25 papers) and Animal Behavior and Welfare Studies (17 papers). Claire M. Wade collaborates with scholars based in Australia, United States and Sweden. Claire M. Wade's co-authors include Mark J. Daly, Hyun Min Kang, Eleazar Eskin, Noah Zaitlen, Andrew Kirby, David Heckerman, Kerstin Lindblad‐Toh, Michael C. Zody, Edward J. Kulbokas and Eric S. Lander and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Claire M. Wade

118 papers receiving 4.9k citations

Hit Papers

Efficient Control of Popu... 2008 2026 2014 2020 2008 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Claire M. Wade Australia 29 2.9k 1.7k 923 445 383 118 5.0k
Leslie A. Lyons United States 40 3.3k 1.2× 2.6k 1.6× 627 0.7× 440 1.0× 429 1.1× 198 6.2k
Merete Fredholm Denmark 40 3.4k 1.2× 2.3k 1.4× 769 0.8× 451 1.0× 269 0.7× 204 6.6k
Cord Drögemüller Switzerland 37 2.7k 0.9× 2.3k 1.4× 327 0.4× 250 0.6× 717 1.9× 349 5.4k
Heidi G. Parker United States 32 3.0k 1.0× 1.9k 1.1× 179 0.2× 654 1.5× 288 0.8× 60 4.9k
Tosso Leeb Switzerland 38 2.8k 1.0× 3.1k 1.8× 351 0.4× 243 0.5× 1.4k 3.8× 421 6.6k
J. L. Williams United Kingdom 50 4.2k 1.5× 2.2k 1.3× 971 1.1× 266 0.6× 321 0.8× 306 8.6k
Gregory M. Acland United States 44 3.0k 1.1× 5.3k 3.2× 270 0.3× 349 0.8× 490 1.3× 153 7.1k
Elinor K. Karlsson United States 28 2.3k 0.8× 2.4k 1.5× 324 0.4× 262 0.6× 252 0.7× 54 5.4k
David R. Sargan United Kingdom 30 1.2k 0.4× 1.1k 0.7× 311 0.3× 388 0.9× 123 0.3× 102 2.8k
Hannes Lohi Finland 43 2.9k 1.0× 2.5k 1.5× 145 0.2× 686 1.5× 383 1.0× 227 6.4k

Countries citing papers authored by Claire M. Wade

Since Specialization
Citations

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

Fields of papers citing papers by Claire M. Wade

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Claire M. Wade

This figure shows the co-authorship network connecting the top 25 collaborators of Claire M. Wade. A scholar is included among the top collaborators of Claire M. Wade 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 Claire M. Wade. Claire M. Wade 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
1.
Miller, Susan M., Benjamin L. Allen, Rose L. Andrew, et al.. (2024). Isolation, small population size, and management influence inbreeding and reduced genetic variation in K’gari dingoes. Conservation Genetics. 25(4). 955–971. 3 indexed citations
2.
Haase, Bianca, et al.. (2021). Sequence variants of the canine melanocyte inducing transcription factor (MITF) locus reveal a common MITF‐A processed pseudogene. Animal Genetics. 52(5). 777–778. 1 indexed citations
3.
Haase, Bianca, et al.. (2021). Canine coat pigmentation genetics: a review. Animal Genetics. 53(1). 3–34. 25 indexed citations
4.
5.
Ewart, Kyle M., Greta J. Frankham, Ross McEwing, et al.. (2018). A rapid multiplex PCR assay for presumptive species identification of rhinoceros horns and its implementation in Vietnam. PLoS ONE. 13(6). e0198565–e0198565. 10 indexed citations
6.
Thomson, Peter C., et al.. (2017). Using an owner-based questionnaire to phenotype dogs with separation-related distress: Do owners know what their dogs do when they are absent?. Journal of Veterinary Behavior. 23. 58–65. 16 indexed citations
7.
Haase, Bianca, Hamutal Mazrier, & Claire M. Wade. (2016). Digging for known genetic mutations underlying inherited bone and cartilage characteristics and disorders in the dog and cat. Veterinary and Comparative Orthopaedics and Traumatology. 29(4). 269–276. 5 indexed citations
8.
9.
Wright, Belinda, Katrina Morris, Catherine E. Grueber, et al.. (2015). Development of a SNP-based assay for measuring genetic diversity in the Tasmanian devil insurance population. BMC Genomics. 16(1). 791–791. 27 indexed citations
10.
McGreevy, Paul, et al.. (2015). Valuable Behavioural Phenotypes in Australian Farm Dogs. WBI Studies Repository. 1 indexed citations
11.
Velie, Brandon D., Natasha A. Hamilton, & Claire M. Wade. (2015). Heritability of racing durability traits in the Australian and Hong Kong Thoroughbred racing populations. Equine Veterinary Journal. 48(3). 275–279. 10 indexed citations
12.
Wade, Claire M., et al.. (2014). Environmental Factors Associated with Success Rates of Australian Stock Herding Dogs. PLoS ONE. 9(8). e104457–e104457. 26 indexed citations
13.
Wade, Claire M., et al.. (2014). Estimating the economic value of Australian stock herding dogs. Animal Welfare. 23(2). 189–197. 23 indexed citations
14.
Sundström, Elisabeth, Freyja Imsland, Sofia Mikko, et al.. (2012). Copy number expansion of the STX17 duplication in melanoma tissue from Grey horses. BMC Genomics. 13(1). 365–365. 38 indexed citations
15.
McCue, Molly E., Stephanie J. Valberg, Michael B. Miller, et al.. (2008). Glycogen synthase (GYS1) mutation causes a novel skeletal muscle glycogenosis. Genomics. 91(5). 458–466. 120 indexed citations
16.
Berg, Linda van den, Matthijs B.H. Schilder, Bernard A. van Oost, et al.. (2007). Evaluation of the Serotonergic Genes htr1A, htr1B, htr2A, and slc6A4 in Aggressive Behavior of Golden Retriever Dogs. Behavior Genetics. 38(1). 55–66. 29 indexed citations
17.
Menotti‐Raymond, Marilyn, Victor A. David, Solveig M.V. Pflueger, et al.. (2007). Patterns of molecular genetic variation among cat breeds. Genomics. 91(1). 1–11. 59 indexed citations
18.
Wade, Claire M., Elinor K. Karlsson, Tarjei S. Mikkelsen, Michael C. Zody, & Kerstin Lindblad‐Toh. (2006). 11 The Dog Genome: Sequence, Evolution, and Haplotype Structure. Cold Spring Harbor Monograph Archive. 44. 179–207. 5 indexed citations
19.
Nguyen, Nguyen Hong, et al.. (2004). Genetic selection strategies for efficient lean growth in pigs. Queensland Department of Agriculture and Fisheries archive of scientific and research publications (Queensland Department of Agriculture and Fisheries). 17 indexed citations
20.
Frazer, Kelly A., Claire M. Wade, David A. Hinds, et al.. (2004). Segmental Phylogenetic Relationships of Inbred Mouse Strains Revealed by Fine-Scale Analysis of Sequence Variation Across 4.6 Mb of Mouse Genome. Genome Research. 14(8). 1493–1500. 66 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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