Amy L. Williams

7.9k total citations
32 papers, 661 citations indexed

About

Amy L. Williams is a scholar working on Genetics, Molecular Biology and Computer Networks and Communications. According to data from OpenAlex, Amy L. Williams has authored 32 papers receiving a total of 661 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Molecular Biology and 2 papers in Computer Networks and Communications. Recurrent topics in Amy L. Williams's work include Genetic Associations and Epidemiology (12 papers), Genetic and phenotypic traits in livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Amy L. Williams is often cited by papers focused on Genetic Associations and Epidemiology (12 papers), Genetic and phenotypic traits in livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). Amy L. Williams collaborates with scholars based in United States, United Kingdom and Australia. Amy L. Williams's co-authors include Peter Shirley, R. Keith Morley, Adam Siepel, Melissa J. Hubisz, Joanne E. Curran, John Blangero, Thomas D. Dyer, David Reich, Donna M. Lehman and Ravindranath Duggirala and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Amy L. Williams

27 papers receiving 634 citations

Peers

Amy L. Williams

GENET

SURGE

CVPR

Mahmut Şamil Sağıroğlu Türkiye

Warren Cheung Canada

Friedrich Hoffmann Germany

J.-C. Olivo Germany

Jiao Li China

John Cassella United Kingdom

Yongwei Zhang China

Brian Cleary United States

Sihai Dave Zhao United States

Alphan Altınok United States

Mahmut Şamil Sağıroğlu Türkiye

Amy L. Williams

123 ×0.3

GENET

177 ×0.9

16 ×0.3

21 ×0.6

SURGE

85 ×2.3

CVPR

Citations per year, relative to Amy L. Williams Amy L. Williams (= 1×) peers Mahmut Şamil Sağıroğlu

Countries citing papers authored by Amy L. Williams

Since Specialization

Citations

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

Fields of papers citing papers by Amy L. Williams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy L. Williams. 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 Amy L. Williams. The network helps show where Amy L. Williams may publish in the future.

Co-authorship network of co-authors of Amy L. Williams

This figure shows the co-authorship network connecting the top 25 collaborators of Amy L. Williams. A scholar is included among the top collaborators of Amy L. Williams 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 Amy L. Williams. Amy L. Williams 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

Williams, Amy L., et al.. (2025). Phase-free local ancestry inference mitigates the impact of switch errors on phase-based methods. G3 Genes Genomes Genetics. 15(8).

Machida, Munehito, Aya Goto, Amy L. Williams, et al.. (2025). Participatory ‘Creative Health’ in Fukushima schools: implications of ‘ACT’ theatre component for children’s responses. Radioprotection. 60(4). 354–359.

O’Connell, Jared, Ethan M. Jewett, William A. Freyman, et al.. (2025). Phasing millions of samples achieves near perfect accuracy, enabling parent-of-origin analyses. Human Genetics and Genomics Advances. 6(4). 100479–100479.

Williams, Amy L., et al.. (2023). Haptools: a toolkit for admixture and haplotype analysis. Bioinformatics. 39(3). 2 indexed citations

Williams, Amy L., et al.. (2022). Evaluating the utility of identity-by-descent segment numbers for relatedness inference via information theory and classification. G3 Genes Genomes Genetics. 12(6). 3 indexed citations

Williams, Amy L., et al.. (2022). Simultaneous inference of parental admixture proportions and admixture times from unphased local ancestry calls. The American Journal of Human Genetics. 109(8). 1405–1420. 5 indexed citations

Williams, Amy L., et al.. (2021). Sexual dimorphism and the effect of wild introgressions on recombination in cassava ( Manihot esculenta Crantz) breeding germplasm. G3 Genes Genomes Genetics. 12(1). 4 indexed citations

Hubisz, Melissa J., Amy L. Williams, & Adam Siepel. (2020). Mapping gene flow between ancient hominins through demography-aware inference of the ancestral recombination graph. PLoS Genetics. 16(8). e1008895–e1008895. 65 indexed citations

Hayward, Caroline, et al.. (2020). Distinguishing pedigree relationships via multi-way identity by descent sharing and sex-specific genetic maps. The American Journal of Human Genetics. 108(1). 68–83. 14 indexed citations

10.

Williams, Amy L. & Bill Niven. (2020). Memory of the Kindertransport in Britain and Germany, and the current refugee crisis. SHILAP Revista de lepidopterología. 36. 109–121.

11.

Malarbi, Stephanie, Alice Burnett, Trisha Prentice, et al.. (2019). Outcome of vein of Galen malformation presenting in the neonatal period. Archives of Disease in Childhood. 104(11). 1064–1069. 18 indexed citations

12.

Caballero, Madison, Thomas D. Dyer, Donna M. Lehman, et al.. (2019). Crossover interference and sex-specific genetic maps shape identical by descent sharing in close relatives. PLoS Genetics. 15(12). e1007979–e1007979. 40 indexed citations

13.

Ramstetter, Monica D., Sushila Shenoy, Thomas D. Dyer, et al.. (2018). Inferring Identical-by-Descent Sharing of Sample Ancestors Promotes High-Resolution Relative Detection. The American Journal of Human Genetics. 103(1). 30–44. 23 indexed citations

14.

Williams, Amy L., et al.. (2018). A statistical framework for detecting mislabeled and contaminated samples using shallow-depth sequence data. BMC Bioinformatics. 19(1). 478–478. 8 indexed citations

15.

Ramstetter, Monica D., Thomas D. Dyer, Donna M. Lehman, et al.. (2017). Benchmarking Relatedness Inference Methods with Genome-Wide Data from Thousands of Relatives. Genetics. 207(1). 75–82. 56 indexed citations

16.

Williams, Amy L., Giulio Genovese, Thomas D. Dyer, et al.. (2015). Non-crossover gene conversions show strong GC bias and unexpected clustering in humans. eLife. 4. 69 indexed citations

17.

Williams, Amy L., et al.. (2012). Phasing of Many Thousands of Genotyped Samples. The American Journal of Human Genetics. 91(2). 238–251. 68 indexed citations

18.

Fejerman, Laura, Gary K. Chen, Celeste Eng, et al.. (2012). Admixture mapping identifies a locus on 6q25 associated with breast cancer risk in US Latinas. Human Molecular Genetics. 21(8). 1907–1917. 48 indexed citations

19.

Williams, Amy L., et al.. (2012). DISTRIBUTION AND PREVALENCE OF ELAEOPHORA SCHNEIDERI IN MOOSE IN WYOMING. 48. 35–44. 10 indexed citations

20.

Williams, Amy L., David E. Housman, Martin Rinard, & David K. Gifford. (2010). Rapid haplotype inference for nuclear families. Genome biology. 11(10). R108–R108. 17 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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