Aylwyn Scally

13.3k total citations · 3 hit papers
27 papers, 2.3k citations indexed

About

Aylwyn Scally is a scholar working on Genetics, Molecular Biology and Astronomy and Astrophysics. According to data from OpenAlex, Aylwyn Scally has authored 27 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Genetics, 9 papers in Molecular Biology and 4 papers in Astronomy and Astrophysics. Recurrent topics in Aylwyn Scally's work include Genomics and Phylogenetic Studies (7 papers), Genomics and Rare Diseases (6 papers) and Evolution and Genetic Dynamics (5 papers). Aylwyn Scally is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Genomics and Rare Diseases (6 papers) and Evolution and Genetic Dynamics (5 papers). Aylwyn Scally collaborates with scholars based in United Kingdom, United States and Russia. Aylwyn Scally's co-authors include Richard Durbin, Chris Tyler‐Smith, Yali Xue, Charlotte Clarke, Petr Danecek, Vagheesh M. Narasimhan, Iwanka Kozarewa, Philip J. Stephens, Frances J.D. Smith and Daniel J. Turner and has published in prestigious journals such as Nature Communications, Nature Genetics and Bioinformatics.

In The Last Decade

Aylwyn Scally

25 papers receiving 2.3k citations

Hit Papers

A large genome center's improvements to the Illumina sequ... 2008 2026 2014 2020 2008 2016 2015 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aylwyn Scally United Kingdom 16 963 919 293 259 242 27 2.3k
Juan José Martínez Sánchez Denmark 23 1.3k 1.4× 1.2k 1.3× 75 0.3× 222 0.9× 88 0.4× 69 2.3k
Fernando Racimo United States 25 1.6k 1.6× 658 0.7× 304 1.0× 342 1.3× 119 0.5× 41 2.7k
Mauro Santos Spain 35 1.8k 1.9× 771 0.8× 56 0.2× 77 0.3× 362 1.5× 133 4.2k
Luca Pagani Italy 29 1.4k 1.4× 499 0.5× 314 1.1× 420 1.6× 66 0.3× 82 2.4k
Paula F. Campos Denmark 25 903 0.9× 785 0.9× 359 1.2× 391 1.5× 160 0.7× 47 2.5k
Matteo Fumagalli Italy 31 1.6k 1.6× 978 1.1× 65 0.2× 71 0.3× 237 1.0× 67 3.5k
David Serre United States 36 2.1k 2.2× 1.7k 1.9× 580 2.0× 978 3.8× 140 0.6× 82 5.1k
Pedro Soares Portugal 30 1.8k 1.8× 1.0k 1.1× 507 1.7× 991 3.8× 74 0.3× 64 3.1k
Martin Sikora United States 23 1.2k 1.2× 516 0.6× 234 0.8× 339 1.3× 259 1.1× 54 2.3k
Melanie Kuch Canada 19 1.6k 1.7× 1.1k 1.1× 174 0.6× 779 3.0× 100 0.4× 31 3.0k

Countries citing papers authored by Aylwyn Scally

Since Specialization
Citations

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

Fields of papers citing papers by Aylwyn Scally

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Aylwyn Scally

This figure shows the co-authorship network connecting the top 25 collaborators of Aylwyn Scally. A scholar is included among the top collaborators of Aylwyn Scally 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 Aylwyn Scally. Aylwyn Scally 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.
Huang, Qin Qin, Rashesh Sanghvi, Daniel Malawsky, et al.. (2025). The impact of ancestral, genetic, and environmental influences on germline de novo mutation rates and spectra. Nature Communications. 16(1). 4527–4527.
2.
Jung, Hyunchul, Tsun-Po Yang, Susan Walker, et al.. (2025). Complex de novo structural variants are an underestimated cause of rare disorders. Nature Communications. 16(1). 9528–9528.
3.
Scally, Aylwyn, et al.. (2025). A structured coalescent model reveals deep ancestral structure shared by all modern humans. Nature Genetics. 57(4). 856–864. 3 indexed citations
4.
Eastwood, Sophie V., Gibran Hemani, Sarah Watkins, et al.. (2024). Ancestry, ethnicity, and race: explaining inequalities in cardiometabolic disease. Trends in Molecular Medicine. 30(6). 541–551. 6 indexed citations
5.
Alagöz, Gökberk, Felix Krueger, Maria Rostovskaya, et al.. (2023). NANOGP1 , a tandem duplicate of NANOG , exhibits partial functional conservation in human naïve pluripotent stem cells. Development. 150(2). 2 indexed citations
6.
Schlebusch, Carina M., Liisa Loog, Huw S. Groucutt, et al.. (2021). Human origins in Southern African palaeo-wetlands? Strong claims from weak evidence. Journal of Archaeological Science. 130. 105374–105374. 6 indexed citations
7.
Walker, Conor R., Aylwyn Scally, Nicola De Maio, & Nick Goldman. (2021). Short-range template switching in great ape genomes explored using pair hidden Markov models. PLoS Genetics. 17(3). e1009221–e1009221. 10 indexed citations
8.
Mathieson, Iain & Aylwyn Scally. (2020). What is ancestry?. PLoS Genetics. 16(3). e1008624–e1008624. 93 indexed citations
9.
Skov, Laurits, Ruoyun Hui, Vladimir Shchur, et al.. (2018). Detecting archaic introgression using an unadmixed outgroup. PLoS Genetics. 14(9). e1007641–e1007641. 66 indexed citations
10.
Mattle‐Greminger, Maja P., Tugce Bilgin Sonay, Alexander Nater, et al.. (2018). Genomes reveal marked differences in the adaptive evolution between orangutan species. Genome biology. 19(1). 193–193. 15 indexed citations
11.
Narasimhan, Vagheesh M., Raheleh Rahbari, Aylwyn Scally, et al.. (2017). Estimating the human mutation rate from autozygous segments reveals population differences in human mutational processes. Nature Communications. 8(1). 303–303. 54 indexed citations
12.
Seoighe, Cathal & Aylwyn Scally. (2017). Inference of Candidate Germline Mutator Loci in Humans from Genome-Wide Haplotype Data. PLoS Genetics. 13(1). e1006549–e1006549. 13 indexed citations
13.
Scally, Aylwyn. (2016). The mutation rate in human evolution and demographic inference. Current Opinion in Genetics & Development. 41. 36–43. 68 indexed citations
14.
Pagani, Luca, Stephan Schiffels, Deepti Gurdasani, et al.. (2015). Tracing the Route of Modern Humans out of Africa by Using 225 Human Genome Sequences from Ethiopians and Egyptians. The American Journal of Human Genetics. 96(6). 986–991. 110 indexed citations
15.
Scally, Aylwyn, Bryndís Yngvadóttir, Yali Xue, et al.. (2013). A Genome-Wide Survey of Genetic Variation in Gorillas Using Reduced Representation Sequencing. PLoS ONE. 8(6). e65066–e65066. 18 indexed citations
16.
Scally, Aylwyn & Richard Durbin. (2012). Revising the human mutation rate: implications for understanding human evolution. Nature Reviews Genetics. 13(10). 745–753. 342 indexed citations
17.
Quail, Michael A., Iwanka Kozarewa, Frances J.D. Smith, et al.. (2008). A large genome center's improvements to the Illumina sequencing system. Nature Methods. 5(12). 1005–1010. 559 indexed citations breakdown →
18.
Scally, Aylwyn, C. J. Clarke, & M. J. McCaughrean. (2005). Dynamical evolution of the Orion nebula cluster. Monthly Notices of the Royal Astronomical Society. 358(3). 742–754. 24 indexed citations
19.
Adams, Timothy E., M. B. Davies, R. F. Jameson, & Aylwyn Scally. (2002). Brown dwarf populations in open clusters. Monthly Notices of the Royal Astronomical Society. 333(3). 547–560. 17 indexed citations
20.
Scally, Aylwyn & Charlotte Clarke. (2001). Destruction of protoplanetary discs in the Orion Nebula Cluster. Monthly Notices of the Royal Astronomical Society. 325(2). 449–456. 155 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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