Matthew Hegarty

5.4k total citations
82 papers, 3.5k citations indexed

About

Matthew Hegarty is a scholar working on Plant Science, Genetics and Molecular Biology. According to data from OpenAlex, Matthew Hegarty has authored 82 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Plant Science, 31 papers in Genetics and 26 papers in Molecular Biology. Recurrent topics in Matthew Hegarty's work include Genetic and phenotypic traits in livestock (12 papers), Genetic diversity and population structure (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Matthew Hegarty is often cited by papers focused on Genetic and phenotypic traits in livestock (12 papers), Genetic diversity and population structure (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). Matthew Hegarty collaborates with scholars based in United Kingdom, France and Germany. Matthew Hegarty's co-authors include Simon J. Hiscock, Richard J. Abbott, Gary Barker, Keith J. Edwards, Martin Swain, Adrian C. Brennan, Col R. Ford, Natasha de Vere, Ian Wilson and Sharon Huws and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Matthew Hegarty

79 papers receiving 3.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Hegarty United Kingdom 33 1.7k 1.4k 1.0k 1.0k 411 82 3.5k
Javier F. Tabima United States 19 1.8k 1.0× 795 0.6× 1.0k 1.0× 542 0.5× 596 1.5× 50 3.2k
Celeste C. Linde Australia 34 4.2k 2.5× 1.2k 0.9× 599 0.6× 1.1k 1.1× 390 0.9× 101 5.2k
Thomas Bataillon Denmark 40 2.1k 1.2× 1.6k 1.2× 2.7k 2.6× 1.2k 1.2× 576 1.4× 90 4.9k
Tzen‐Yuh Chiang Taiwan 32 1.5k 0.9× 1.6k 1.1× 1.5k 1.5× 1.1k 1.1× 344 0.8× 160 3.9k
M. W. Shaw United Kingdom 40 4.0k 2.3× 801 0.6× 775 0.7× 1.3k 1.3× 440 1.1× 174 5.2k
Salvador Talavera Spain 31 1.6k 0.9× 703 0.5× 640 0.6× 1.8k 1.7× 223 0.5× 158 2.8k
Sara Guirao‐Rico Spain 12 1.2k 0.7× 2.1k 1.5× 1.6k 1.6× 1.0k 1.0× 1.1k 2.6× 21 5.0k
Olivier Bouchez France 31 1.3k 0.8× 1.3k 1.0× 898 0.9× 322 0.3× 313 0.8× 97 3.9k
François Bretagnolle France 28 1.4k 0.8× 598 0.4× 471 0.5× 1.2k 1.2× 448 1.1× 58 2.5k
Jana Trifinopoulos Austria 5 778 0.5× 1.3k 0.9× 604 0.6× 825 0.8× 896 2.2× 8 3.7k

Countries citing papers authored by Matthew Hegarty

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Hegarty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Hegarty

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew Hegarty. A scholar is included among the top collaborators of Matthew Hegarty 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 Hegarty. Matthew Hegarty 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.
Hegarty, Matthew, et al.. (2025). Genomic diversity of Cameroonian Gudali and Gudali-cross cattle. Scientific Reports. 15(1). 15066–15066. 1 indexed citations
2.
3.
Hegarty, Matthew, et al.. (2023). Shed skin as a source of DNA for genotyping-by-sequencing (GBS) in reptiles. Conservation Genetics Resources. 15(3). 117–124. 3 indexed citations
4.
Sampoux, Jean‐Paul, Philippe Barré, José Luis Blanco‐Pastor, et al.. (2021). To grow or survive: Which are the strategies of a perennial grass to face severe seasonal stress?. Functional Ecology. 35(5). 1145–1158. 39 indexed citations
5.
McMahon, Robert, et al.. (2020). Genetic diversity within and between British and Irish breeds: The maternal and paternal history of native ponies. Ecology and Evolution. 10(3). 1352–1367. 6 indexed citations
6.
Bello, Semiu Folaniyi, et al.. (2020). Identification of BoLA DRB3.2 Alleles Present in White Fulani and Muturu Cattle Breeds. Open Journal of Animal Sciences. 10(4). 725–734. 2 indexed citations
7.
Zancolli, Giulia, Juan J. Calvete, Michael D. Cardwell, et al.. (2019). When one phenotype is not enough: divergent evolutionary trajectories govern venom variation in a widespread rattlesnake species. Proceedings of the Royal Society B Biological Sciences. 286(1898). 20182735–20182735. 83 indexed citations
8.
Griffith, Gareth, Caitlin Potter, Natasha de Vere, et al.. (2019). High-throughput DNA sequencing defines spatiotemporal shifts in airborne grass pollen communities at species level. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations
9.
Bodger, Owen, Berry J. Brosi, Col R. Ford, et al.. (2018). Generalisation and specialisation in hoverfly (Syrphidae) grassland pollen transport networks revealed by DNA metabarcoding. Journal of Animal Ecology. 87(4). 1008–1021. 66 indexed citations
10.
Cameron, Simon J. S., Keir Lewis, Sharon Huws, et al.. (2017). A pilot study using metagenomic sequencing of the sputum microbiome suggests potential bacterial biomarkers for lung cancer. PLoS ONE. 12(5). e0177062–e0177062. 135 indexed citations
11.
Bishop, L.A., Glenn Rhodes, Nicolas Salez, et al.. (2017). Nasopharyngeal metagenomic deep sequencing data, Lancaster, UK, 2014–2015. Scientific Data. 4(1). 170161–170161. 1 indexed citations
12.
Thorogood, Daniel, et al.. (2016). Germplasm dynamics: the role of ecotypic diversity in shaping the patterns of genetic variation in Lolium perenne. Scientific Reports. 6(1). 22603–22603. 18 indexed citations
13.
Mora-Ortiz, Marina, Martin Swain, Martin Vickers, et al.. (2016). De-novo transcriptome assembly for gene identification, analysis, annotation, and molecular marker discovery in Onobrychis viciifolia. BMC Genomics. 17(1). 756–756. 30 indexed citations
14.
McMahon, R F, et al.. (2015). Genetic–geographic correlation revealed across a broad European ecotypic sample of perennial ryegrass (Lolium perenne) using array-based SNP genotyping. Theoretical and Applied Genetics. 128(10). 1917–1932. 23 indexed citations
15.
Mulley, John F., Adam D Hargreaves, Matthew Hegarty, Raban Heller, & Martin Swain. (2014). Transcriptomic analysis of the lesser spotted catshark (Scyliorhinus canicula) pancreas, liver and brain reveals molecular level conservation of vertebrate pancreas function. BMC Genomics. 15(1). 1074–1074. 33 indexed citations
16.
Hegarty, Matthew, R. S. Yadav, Michael R. F. Lee, et al.. (2013). Genotyping by RAD sequencing enables mapping of fatty acid composition traits in perennial ryegrass (Lolium perenne (L.)). Plant Biotechnology Journal. 11(5). 572–581. 51 indexed citations
17.
Allen, Alexandra M., et al.. (2011). Pollen–pistil interactions and self-incompatibility in the Asteraceae: new insights from studies of Senecio squalidus (Oxford ragwort). Annals of Botany. 108(4). 687–698. 67 indexed citations
18.
Hegarty, Matthew, Ian Wilson, Gary Barker, et al.. (2005). Development of anonymous cDNA microarrays to study changes to theSeneciofloral transcriptome during hybrid speciation. Molecular Ecology. 14(8). 2493–2510. 97 indexed citations
19.
Hegarty, Matthew & Simon J. Hiscock. (2004). Hybrid speciation in plants: new insights from molecular studies. New Phytologist. 165(2). 411–423. 214 indexed citations
20.
Hanley, Steven J., David Edwards, David S. Stevenson, et al.. (2000). Identification of transposon‐tagged genes by the random sequencing of Mutator‐tagged DNA fragments from Zea mays. The Plant Journal. 23(4). 557–566. 42 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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