David E. MacHugh
- Equine top 0.2%
- Veterinary Equine Medical Research 17
- Genetics top 0.2%
- Genetic and phenotypic traits in livestock 56
- Genetic Mapping and Diversity in Plants and Animals 28
- Genetic diversity and population structure 25
- Agronomy and Crop Science top 0.5%
- Animal Science and Zoology top 1%
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 30
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- Mycobacterium research and diagnosis 26
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- Tuberculosis Research and Epidemiology 23
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- Muscle metabolism and nutrition 17
- Co-authors
- Daniel G. BradleyR T LoftusPatrick N. CunninghamPatrick CunninghamDavid A. MageeEmmeline W. HillRonan T. LoftusPaul M. Sharp
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
David E. MacHugh
143 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 147
- Equine 436
- Genetics 4.2k
- Agronomy and Crop Science 754
- Animal Science and Zoology 569
- Cancer Research 833
Countries citing papers authored by David E. MacHugh
This map shows the geographic impact of David E. MacHugh'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 David E. MacHugh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. MacHugh more than expected).
Fields of papers citing papers by David E. MacHugh
This network shows the impact of papers produced by David E. MacHugh. 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 David E. MacHugh. The network helps show where David E. MacHugh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David E. MacHugh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2023 | 3 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 8 | |
| 9 | 2022 | 16 | |
| 10 | 2021 | 7 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 13 | |
| 13 | 2018 | 44 | |
| 14 | 2016 | 79 | |
| 15 | 2015 | 115 | |
| 16 | 2015 | 37 | |
| 17 | 2015 | 26 | |
| 18 | 2011 | 10 | |
| 19 | 2003 | 24 | |
| 20 | 2000 | 109 |
About David E. MacHugh
David E. MacHugh is a scholar working on Equine, Genetics, Cancer Research, Agronomy and Crop Science and Infectious Diseases, having authored 151 papers that have together received 6.8k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (56 papers), Cancer-related molecular mechanisms research (30 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers), Mycobacterium research and diagnosis (26 papers), Genetic diversity and population structure (25 papers), Tuberculosis Research and Epidemiology (23 papers), Muscle metabolism and nutrition (17 papers) and Veterinary Equine Medical Research (17 papers). The work is most often cited by research in Equine (436 citations), Genetics (4.2k citations), Agronomy and Crop Science (754 citations), Animal Science and Zoology (569 citations) and Cancer Research (833 citations). David E. MacHugh has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Daniel G. Bradley, R T Loftus, Patrick N. Cunningham, Patrick Cunningham, David A. Magee, Emmeline W. Hill, Ronan T. Loftus, Paul M. Sharp, Beatrice A. McGivney and John A. Browne. Their work appears in journals such as Animal Genetics, BMC Genomics, Frontiers in Immunology, PLoS ONE and Tuberculosis.
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.