Cali E. Willet

601 total citations
25 papers, 320 citations indexed

About

Cali E. Willet is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Cali E. Willet has authored 25 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Cali E. Willet's work include Cancer Genomics and Diagnostics (5 papers), Animal Genetics and Reproduction (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Cali E. Willet is often cited by papers focused on Cancer Genomics and Diagnostics (5 papers), Animal Genetics and Reproduction (4 papers) and Genetic and phenotypic traits in livestock (3 papers). Cali E. Willet collaborates with scholars based in Australia, United States and United Kingdom. Cali E. Willet's co-authors include Claire M. Wade, Bianca Haase, Tracy Chew, Rodrigo Hamede, Katherine Belov, Menna E. Jones, Belinda Wright, Noa Safra, Toby McHenry and Frederic W.‐B. Deleyiannis and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Cali E. Willet

24 papers receiving 317 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cali E. Willet Australia 11 159 116 46 33 31 25 320
John A. Gerlach United States 14 121 0.8× 121 1.0× 56 1.2× 47 1.4× 5 0.2× 34 565
Beena Neelam United States 9 101 0.6× 171 1.5× 20 0.4× 25 0.8× 14 0.5× 10 368
Shun Maekawa Japan 16 72 0.5× 173 1.5× 15 0.3× 70 2.1× 94 3.0× 34 590
Biing Yuan Lin United States 8 134 0.8× 213 1.8× 12 0.3× 16 0.5× 10 0.3× 9 455
Iain M. Kennedy United Kingdom 11 68 0.4× 294 2.5× 17 0.4× 14 0.4× 17 0.5× 14 444
K LEE South Korea 7 26 0.2× 131 1.1× 31 0.7× 13 0.4× 8 0.3× 7 558
Laëtitia Dorso France 10 47 0.3× 56 0.5× 117 2.5× 10 0.3× 36 1.2× 19 294
Shyoso OGAWA Japan 16 249 1.6× 264 2.3× 18 0.4× 9 0.3× 13 0.4× 50 719
Ying Bai China 11 35 0.2× 219 1.9× 21 0.5× 89 2.7× 21 0.7× 34 440
Clara Slade Oliveira Brazil 12 156 1.0× 314 2.7× 18 0.4× 6 0.2× 55 1.8× 63 702

Countries citing papers authored by Cali E. Willet

Since Specialization
Citations

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

Fields of papers citing papers by Cali E. Willet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cali E. Willet. 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 Cali E. Willet. The network helps show where Cali E. Willet may publish in the future.

Co-authorship network of co-authors of Cali E. Willet

This figure shows the co-authorship network connecting the top 25 collaborators of Cali E. Willet. A scholar is included among the top collaborators of Cali E. Willet 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 Cali E. Willet. Cali E. Willet 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.
Willet, Cali E., et al.. (2025). Scaling for African Inclusion in High-Throughput Whole Cancer Genome Bioinformatic Workflows. Cancers. 17(15). 2481–2481.
2.
Willet, Cali E., et al.. (2024). Myotonia Congenita in Australian Merino Sheep with a Missense Variant in CLCN1. Animals. 14(24). 3703–3703. 1 indexed citations
3.
Gupta, Ruta, Dario Strbenac, Laveniya Satgunaseelan, et al.. (2023). Comparing Genomic Landscapes of Oral and Cutaneous Squamous Cell Carcinoma of the Head and Neck: Quest for Novel Diagnostic Markers. Modern Pathology. 36(8). 100190–100190. 12 indexed citations
4.
Wang, Fang, Carra A. Simpson, Cali E. Willet, et al.. (2023). Development of the oral resistome during the first decade of life. Nature Communications. 14(1). 1291–1291. 19 indexed citations
5.
Satgunaseelan, Laveniya, Dario Strbenac, Cali E. Willet, et al.. (2022). Whole genome duplication in oral squamous cell carcinoma in patients younger than 50 years: implications for prognosis and adverse clinicopathological factors. Genes Chromosomes and Cancer. 61(9). 561–571. 5 indexed citations
6.
Haase, Bianca, et al.. (2022). De-novo and genome-wide meta-analyses identify a risk haplotype for congenital sensorineural deafness in Dalmatian dogs. Scientific Reports. 12(1). 15439–15439. 1 indexed citations
7.
Gong, Tingting, Weerachai Jaratlerdsiri, Cali E. Willet, et al.. (2022). Genome-wide interrogation of structural variation reveals novel African-specific prostate cancer oncogenic drivers. Genome Medicine. 14(1). 100–100. 17 indexed citations
8.
Willet, Cali E., et al.. (2022). Genome-Wide Association Analysis for Chronic Superficial Keratitis in the Australian Racing Greyhound. Genes. 13(8). 1328–1328. 1 indexed citations
9.
Willet, Cali E., et al.. (2021). The previously reported LRP4 c.4940C>T variant is not associated with syndactyly in cattle. Animal Genetics. 52(3). 380–381. 1 indexed citations
10.
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
11.
Satgunaseelan, Laveniya, Sean Porazinski, Dario Strbenac, et al.. (2021). Oral Squamous Cell Carcinoma in Young Patients Show Higher Rates of EGFR Amplification: Implications for Novel Personalized Therapy. Frontiers in Oncology. 11. 750852–750852. 18 indexed citations
12.
Haase, Bianca, Hamutal Mazrier, Cali E. Willet, et al.. (2021). Roan, ticked and clear coat patterns in the canine are associated with three haplotypes near usherin on CFA38. Animal Genetics. 52(2). 198–207. 2 indexed citations
13.
Shariflou, M. R., et al.. (2020). Molecular basis of a new ovine model for human 3M syndrome-2. BMC Genetics. 21(1). 106–106. 3 indexed citations
14.
Chew, Tracy, Bianca Haase, Cali E. Willet, & Claire M. Wade. (2017). Exclusion of known progressive retinal atrophy genes for blindness in the Hungarian Puli. Animal Genetics. 48(4). 500–501. 2 indexed citations
15.
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
16.
Wolf, Zena, Harrison Brand, John R. Shaffer, et al.. (2015). Genome-Wide Association Studies in Dogs and Humans Identify ADAMTS20 as a Risk Variant for Cleft Lip and Palate. PLoS Genetics. 11(3). e1005059–e1005059. 83 indexed citations
17.
18.
Willet, Cali E. & Claire M. Wade. (2014). From the Phenotype to the Genotype via Bioinformatics. Methods in molecular biology. 1168. 1–16. 4 indexed citations
19.
Willet, Cali E. & Bianca Haase. (2014). An updated felCat5 SNP manifest for the Illumina Feline 63k SNP genotyping array. Animal Genetics. 45(4). 614–615. 8 indexed citations
20.
Willet, Cali E., Bianca Haase, Michael Charleston, & Claire M. Wade. (2014). Simple, rapid and accurate genotyping-by-sequencing from aligned whole genomes with ArrayMaker. Bioinformatics. 31(4). 599–601. 1 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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