Matthew S. McCabe
Impact in
- Agronomy and Crop Science top 0.5%
- Ruminant Nutrition and Digestive Physiology
- Reproductive Physiology in Livestock
- Biotechnology top 2%
- Transgenic Plants and Applications
Papers in
-
- Ruminant Nutrition and Digestive Physiology 15
- Reproductive Physiology in Livestock 10
-
- Transgenic Plants and Applications 9
- Co-authors
- Sinéad M. WatersD.A. KennyPaul CormicanCiara A. CarberryJ. B. PowerM. R. DaveyDavid J. LynnBernadette Earley
- Journals
- PLoS ONE (7 papers)Scientific Reports (6 papers)Frontiers in Microbiology (5 papers)BMC Genomics (4 papers)Journal of Dairy Science (3 papers)
- Partner nations
- IrelandUnited KingdomUnited States
In The Last Decade
Matthew S. McCabe
68 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 119
- Agronomy and Crop Science 832
- Biotechnology 237
- Small Animals 168
- Microbiology 123
- Animal Science and Zoology 200
Countries citing papers authored by Matthew S. McCabe
This map shows the geographic impact of Matthew S. McCabe'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 S. McCabe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthew S. McCabe more than expected).
Fields of papers citing papers by Matthew S. McCabe
This network shows the impact of papers produced by Matthew S. McCabe. 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 S. McCabe. The network helps show where Matthew S. McCabe may publish in the future.
Co-authors
The 25 scholars most cited alongside Matthew S. McCabe, 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 | 2024 | 6 | |
| 2 | 2023 | 10 | |
| 3 | 2022 | 3 | |
| 4 | 2020 | 14 | |
| 5 | 2019 | 28 | |
| 6 | 2019 | 21 | |
| 7 | 2018 | 51 | |
| 8 | 2018 | 36 | |
| 9 | 2018 | 91 | |
| 10 | 2016 | 18 | |
| 11 | 2016 | 30 | |
| 12 | 2016 | 22 | |
| 13 | 2015 | 19 | |
| 14 | 2012 | 97 | |
| 15 | 2011 | 35 | |
| 16 | Associations between the K232A polymorphism in the diacylglycerol-O-transferase 1 (DGAT1) gene and performance in Irish Holstein-Friesian dairy cattle | 2010 | 30 |
| 17 | 2008 | 11 | |
| 18 | 2008 | 55 | |
| 19 | 2005 | 37 | |
| 20 | 1997 | 45 |
About Matthew S. McCabe
Matthew S. McCabe is a scholar working on Agronomy and Crop Science, Biotechnology, Small Animals, Microbiology and Equine, having authored 68 papers that have together received 2.6k indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (15 papers), Plant tissue culture and regeneration (11 papers), Reproductive Physiology in Livestock (10 papers), Transgenic Plants and Applications (9 papers), Gut microbiota and health (9 papers), Cancer-related molecular mechanisms research (8 papers), Genetic and phenotypic traits in livestock (7 papers) and CRISPR and Genetic Engineering (7 papers). The work is most often cited by research in Agronomy and Crop Science (832 citations), Biotechnology (237 citations), Small Animals (168 citations), Microbiology (123 citations) and Animal Science and Zoology (200 citations). Matthew S. McCabe has collaborated with scholars based in Ireland, United Kingdom and United States. Frequent co-authors include Sinéad M. Waters, D.A. Kenny, Paul Cormican, Ciara A. Carberry, J. B. Power, M. R. Davey, David J. Lynn, Bernadette Earley, Conor Dennehy and Peadar G. Lawlor. Their work appears in journals such as PLoS ONE, Scientific Reports, Frontiers in Microbiology, BMC Genomics and Journal of Dairy 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.