Gareth D. Healey

1.3k citations
31 papers · 1.0k · h-index 17

Impact in

Papers in

Gareth D. Healey

31 papers receiving 1.0k citations

Peers

Gareth D. Healey
Comparison fields: 5 of 87
  • Agronomy and Crop Science 477
  • Immunology 504
  • Equine 23
  • Small Animals 98
  • Reproductive Medicine 69
Replace Shan Herath with:
Shan Herath United Kingdom
Sheri M. Skinner United States
S. Herath United Kingdom
Claude La Bonnardière France
Riaz Ahmad Shah India
Birgitte Martine Viuff Denmark
José P. Oliveira‐Filho Brazil
Valeria Russo Italy
Katia Cappelli Italy
Kimberly Shafer-Weaver United States
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Citations per field
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Citations per year

Countries citing papers authored by Gareth D. Healey

Since Specialization
Citations

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

Fields of papers citing papers by Gareth D. Healey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth D. Healey. 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 Gareth D. Healey. The network helps show where Gareth D. Healey may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014122
2 2014118
3 2014114
4 201298
5 201276
6 202166
7 200562
8 200649
9 200535
10 200632
11 201429
12 201922
13 201421
14 201518
15 201616
16 201416
17 201816
18 200915
19 202013
20 202112

About Gareth D. Healey

Gareth D. Healey is a scholar working on Immunology, Agronomy and Crop Science, Molecular Biology, Oncology and Epidemiology, having authored 31 papers that have together received 1.0k indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (15 papers), Reproductive System and Pregnancy (11 papers), Immune Response and Inflammation (6 papers), Cytokine Signaling Pathways and Interactions (3 papers), RNA Interference and Gene Delivery (3 papers), Genetic and phenotypic traits in livestock (2 papers), HER2/EGFR in Cancer Research (2 papers) and Effects of Environmental Stressors on Livestock (2 papers). The work is most often cited by research in Agronomy and Crop Science (477 citations), Immunology (504 citations), Equine (23 citations), Small Animals (98 citations) and Reproductive Medicine (69 citations). Gareth D. Healey has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include I. Martin Sheldon, Matthew L. Turner, J. Cronin, Stephen J. Elvin, IM Sheldon, E. Diane Williamson, Bruna Corradetti, Jim Eyles, Olivier Sandra and Akio Miyamoto. Their work appears in journals such as Infection and Immunity, Reproduction, Vaccine, Reproduction Fertility and Development and Biology of Reproduction.

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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