Matthew Hegarty

5.5k citations
82 papers · 3.6k · h-index 33

Impact in

Papers in

    • Chromosomal and Genetic Variations 11
    • Wheat and Barley Genetics and Pathology 6
    • Genetic diversity and population structure 12
    • Genetic and phenotypic traits in livestock 11
    • Genetic Mapping and Diversity in Plants and Animals 8

Matthew Hegarty

81 papers receiving 3.5k citations

Peers

Matthew Hegarty
Comparison fields: 5 of 120
  • Ecology, Evolution, Behavior and Systematics 962
  • Plant Science 1.6k
  • Genetics 960
  • Insect Science 331
  • Ecological Modeling 109
Replace Sara Guirao‐Rico with:
Sara Guirao‐Rico Spain
Jana Trifinopoulos Austria
Minh Anh Nguyen United States
Bisong Yue China
Jeffrey K. Stone United States
Tzen‐Yuh Chiang Taiwan
Javier F. Tabima United States
Daniel L. Lindner United States
Ming Kang China
A. von Haeseler Germany
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Citations per field
00.5×10×15×18.8×
Sara Guirao‐Rico · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Matthew Hegarty, 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 Hegarty Line = papers co-authored together Matthew Hegarty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008261
2 2006258
3 2004214
4 2015213
5 2010146
6 2017139
7 2017128
8 2014117
9 2014109
10 201598
11 200597
12 200895
13 201390
14 201983
15 201068
16 201868
17 201167
18 201366
19 200766
20 200865

About Matthew Hegarty

Matthew Hegarty is a scholar working on Plant Science, Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics and Ecology, having authored 82 papers that have together received 3.6k indexed citations. Recurring topics across this work include Genetic diversity and population structure (12 papers), Genetic and phenotypic traits in livestock (11 papers), Chromosomal and Genetic Variations (11 papers), Genomics and Phylogenetic Studies (10 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Plant Taxonomy and Phylogenetics (8 papers), Plant and animal studies (6 papers) and Wheat and Barley Genetics and Pathology (6 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (962 citations), Plant Science (1.6k citations), Genetics (960 citations), Insect Science (331 citations) and Ecological Modeling (109 citations). Matthew Hegarty has collaborated with scholars based in United Kingdom, France and Germany. Frequent co-authors include Simon J. Hiscock, Richard J. Abbott, Keith J. Edwards, Gary Barker, Martin Swain, Adrian C. Brennan, Natasha de Vere, Col R. Ford, Ian Wilson and Sharon Huws. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Genomics, Ecology and Evolution and Frontiers in Plant Science.

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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