Matthew E. Hurles

128.5k citations
128 papers · 16.4k indexed · 5 hit papers · h-index 57

Matthew E. Hurles

125 papers receiving 16.0k citations

Hit Papers

A brief history of human...349200620262012201910002.0k3.0k

Peers

Matthew E. Hurles
Comparison fields: 5 of 186
  • Genetics 8.9k
  • Developmental Neuroscience 660
  • Molecular Biology 8.8k
  • Cancer Research 1.5k
  • Aging 118
Replace Kāri Stefánsson with:
Kāri Stefánsson Iceland
Niels Tommerup Denmark
Robin Lovell‐Badge United Kingdom
Renee A. Reijo Pera United States
Chad A. Shaw United States
Elizabeth J. Robertson United States
Masahito Ikawa Japan
Didier Trono Switzerland
Veronica van Heyningen United Kingdom
S. Steven Potter United States
Matthew E. Hurles relative to Kāri Stefánsson Iceland Kāri Stefánsson's profile →
Citations per field
00.5×1.7×
Kāri Stefánsson · 1×
Citations per year

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

The 25 scholars most cited alongside Matthew E. Hurles, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthew E. Hurles Line = papers co-authored together Matthew E. Hurles links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20248
4 20238
5 202013
6 201953
7 201978
8 2018184
9 201738
10 2010214
11 201067
12 2009384
13 2007127
14 200648
15
Copy number variation: New insights in genome diversitybreakdown →
2006592
16 2006113
17 200464
18 200325
19 200153
20 199895

About Matthew E. Hurles

Matthew E. Hurles is a scholar working on Genetics, Cancer Research, Molecular Biology, Geography, Planning and Development and Pediatrics, Perinatology and Child Health, having authored 128 papers that have together received 16.4k indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (56 papers), Genomics and Rare Diseases (54 papers), Chromosomal and Genetic Variations (21 papers), Cancer Genomics and Diagnostics (20 papers), Genomics and Phylogenetic Studies (17 papers), Genetic Associations and Epidemiology (14 papers), Forensic and Genetic Research (12 papers) and Prenatal Screening and Diagnostics (12 papers). The work is most often cited by research in Genetics (8.9k citations), Developmental Neuroscience (660 citations), Molecular Biology (8.8k citations), Cancer Research (1.5k citations) and Aging (118 citations). Matthew E. Hurles has collaborated with scholars based in United Kingdom, United States and Canada. Frequent 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. Their work appears in journals such as The American Journal of Human Genetics, Nature Communications, Nature Genetics, Genome Research and Nature.

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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