Matthew E. Hurles

128.5k total citations · 5 hit papers
128 papers, 16.4k citations indexed

About

Matthew E. Hurles is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Matthew E. Hurles has authored 128 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Genetics, 52 papers in Molecular Biology and 22 papers in Plant Science. Recurrent topics in Matthew E. Hurles's work include Genomic variations and chromosomal abnormalities (56 papers), Genomics and Rare Diseases (54 papers) and Chromosomal and Genetic Variations (21 papers). Matthew E. Hurles is often cited by papers focused on Genomic variations and chromosomal abnormalities (56 papers), Genomics and Rare Diseases (54 papers) and Chromosomal and Genetic Variations (21 papers). Matthew E. Hurles collaborates with scholars based in United Kingdom, United States and Canada. Matthew E. Hurles's co-authors include Andrew P. Jackson, Louise S. Bicknell, Tessa Homfray, Josef Penninger, Juergen A. Knoblich, Carol-Anne Martin, Madeline A. Lancaster, Magdalena Renner, D. Wénzel and Donald F. Conrad and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Matthew E. Hurles

125 papers receiving 16.0k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cerebral organoids model human brain development and microcephaly

2013 3.6k citations Matthew E. Hurles, Tessa Homfray et al. Nature profile →
Relative Impact of Nucleotide and Copy Number Variation on Gene Expression Phenotypes

2007 1.3k citations Barbara E. Stranger, Catherine Ingle et al. profile →
Copy Number Variation in Human Health, Disease, and Evolution

2009 869 citations Matthew E. Hurles et al. profile →
Copy number variation: New insights in genome diversity

2006 592 citations Jennifer L. Freeman, George H. Perry et al. Genome Research profile →
A brief history of human disease genetics

2020 349 citations Rory Collins, Emmanouil T. Dermitzakis et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matthew E. Hurles United Kingdom	57	8.9k	8.8k	2.3k	1.5k	1.4k	128	16.4k
Steven A. McCarroll United States	54	7.5k 0.8×	12.4k 1.4×	1.3k 0.6×	2.2k 1.5×	1.1k 0.8×	108	23.5k
Renee A. Reijo Pera United States	59	4.6k 0.5×	10.1k 1.1×	1.2k 0.5×	1.3k 0.9×	714 0.5×	178	14.7k
Masahito Ikawa Japan	79	5.6k 0.6×	13.2k 1.5×	1.4k 0.6×	1.5k 1.0×	441 0.3×	407	23.5k
Niels Tommerup Denmark	60	7.5k 0.8×	10.8k 1.2×	1.1k 0.5×	1.5k 1.0×	310 0.2×	301	16.5k
Huck‐Hui Ng Singapore	60	3.6k 0.4×	19.4k 2.2×	2.1k 0.9×	1.8k 1.2×	711 0.5×	113	21.7k
Robin Lovell‐Badge United Kingdom	78	18.3k 2.1×	21.1k 2.4×	1.7k 0.7×	2.5k 1.6×	416 0.3×	213	29.7k
Kathrin Plath United States	60	3.9k 0.4×	19.1k 2.2×	1.0k 0.5×	2.3k 1.5×	944 0.7×	124	21.2k
Naomi Habib United States	20	3.2k 0.4×	15.6k 1.8×	1.6k 0.7×	1.3k 0.9×	494 0.4×	34	18.0k
Stanley F. Nelson United States	72	3.8k 0.4×	11.0k 1.2×	1.3k 0.6×	2.2k 1.4×	356 0.3×	208	18.8k
Patrick Tam Australia	74	5.0k 0.6×	14.1k 1.6×	441 0.2×	1.2k 0.8×	732 0.5×	275	18.1k

Countries citing papers authored by Matthew E. Hurles

Since Specialization

Citations

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

Fields of papers citing papers by Matthew E. Hurles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew E. Hurles

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew E. Hurles. A scholar is included among the top collaborators of Matthew E. Hurles 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 Matthew E. Hurles. Matthew E. Hurles 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

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.

Strawbridge, Rona J., Zosia Miedzybrodzka, Riccardo E. Marioni, et al.. (2024). Methods applied to neonatal dried blood spot samples for secondary research purposes: a scoping review. Critical Reviews in Clinical Laboratory Sciences. 61(8). 685–708.

Garrett, Alice, Lara A. Muffley, Shawn Fayer, et al.. (2024). Workshop report: the clinical application of data from multiplex assays of variant effect (MAVEs), 12 July 2023. European Journal of Human Genetics. 32(5). 593–600. 8 indexed citations

Andersson, Malin H. L., Osama A. Arshad, Mary Goodwin-Trotman, et al.. (2023). Differentiation of human induced pluripotent stem cells into cortical neural stem cells. Frontiers in Cell and Developmental Biology. 10. 1023340–1023340. 8 indexed citations

Quinlan-Jones, E, Dominic McMullan, Eamonn R. Maher, et al.. (2020). Exome Sequencing for Prenatal Detection of Genetic Abnormalities in Fetal Ultrasound Anomalies: An Economic Evaluation. Fetal Diagnosis and Therapy. 47(7). 554–564. 13 indexed citations

Thormann, Anja, Mihail Halachev, William McLaren, et al.. (2019). Flexible and scalable diagnostic filtering of genomic variants using G2P with Ensembl VEP. Nature Communications. 10(1). 2373–2373. 53 indexed citations

Lindsay, Sarah, Raheleh Rahbari, Joanna Kaplanis, Thomas Keane, & Matthew E. Hurles. (2019). Similarities and differences in patterns of germline mutation between mice and humans. Nature Communications. 10(1). 4053–4053. 78 indexed citations

Niemi, Mari, Hilary C. Martin, Daniel L Rice, et al.. (2018). Common genetic variants contribute to risk of rare severe neurodevelopmental disorders. Nature. 562(7726). 268–271. 184 indexed citations

King, Daniel A., Alejandro Sifrim, Tomas Fitzgerald, et al.. (2017). Detection of structural mosaicism from targeted and whole-genome sequencing data. Genome Research. 27(10). 1704–1714. 38 indexed citations

10.

Pang, Andy Wing Chun, Jeffrey R. MacDonald, Dalila Pinto, et al.. (2010). Towards a comprehensive structural variation map of an individual human genome. Genome biology. 11(5). R52–R52. 214 indexed citations

11.

Delfin, Frederick C., Jazelyn M. Salvador, Gayvelline C. Calacal, et al.. (2010). The Y-chromosome landscape of the Philippines: extensive heterogeneity and varying genetic affinities of Negrito and non-Negrito groups. European Journal of Human Genetics. 19(2). 224–230. 67 indexed citations

12.

Bochukova, Elena G., Ni Huang, Julia M. Keogh, et al.. (2009). Large, rare chromosomal deletions associated with severe early-onset obesity. Nature. 463(7281). 666–670. 384 indexed citations

13.

Bird, Christine, Barbara E. Stranger, Daryl J. Thomas, et al.. (2007). Fast-evolving noncoding sequences in the human genome. Genome biology. 8(6). R118–R118. 127 indexed citations

14.

Pierson, Melanie, Rosa Martínez‐Arias, Barbara R. Holland, et al.. (2006). Deciphering Past Human Population Movements in Oceania: Provably Optimal Trees of 127 mtDNA Genomes. Molecular Biology and Evolution. 23(10). 1966–1975. 48 indexed citations

15.

Freeman, Jennifer L., George H. Perry, Lars Feuk, et al.. (2006). Copy number variation: New insights in genome diversity. Genome Research. 16(8). 949–961. 592 indexed citations breakdown →

16.

Khaja, Razi, Junjun Zhang, Jeffrey R. MacDonald, et al.. (2006). Genome assembly comparison identifies structural variants in the human genome. Nature Genetics. 38(12). 1413–1418. 113 indexed citations

17.

Bosch, Elena, Matthew E. Hurles, Arcadi Navarro, & Mark A. Jobling. (2004). Dynamics of a Human Interparalog Gene Conversion Hotspot. Genome Research. 14(5). 835–844. 64 indexed citations

18.

Hurles, Matthew E., Emma Maund, Elena Bosch, et al.. (2003). Native American Y Chromosomes in Polynesia: The Genetic Impact of the Polynesian Slave Trade. The American Journal of Human Genetics. 72(5). 1282–1287. 25 indexed citations

19.

Kalaydjieva, Luba, Francesc Calafell, Mark A. Jobling, et al.. (2001). Patterns of inter- and intra-group genetic diversity in the Vlax Roma as revealed by Y chromosome and mitochondrial DNA lineages. European Journal of Human Genetics. 9(2). 97–104. 53 indexed citations

20.

Hurles, Matthew E., Catherine Irven, Paul Graham Taylor, et al.. (1998). European Y-Chromosomal Lineages in Polynesians: A Contrast to the Population Structure Revealed by mtDNA. The American Journal of Human Genetics. 63(6). 1793–1806. 95 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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