T Grala
- Agronomy and Crop Science top 2%
- Reproductive Physiology in Livestock 18
- Ruminant Nutrition and Digestive Physiology 10
- Genetics top 10%
- Genetic and phenotypic traits in livestock 16
- Animal Science and Zoology top 10%
- Effects of Environmental Stressors on Livestock 3
- Small Animals top 10%
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- Cancer-related molecular mechanisms research 4
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- Muscle and Compartmental Disorders 1
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- Lipid metabolism and disorders 1
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- Reproductive System and Pregnancy 1
- Co-authors
- J.R. RocheC.V.C. PhynJ.K. KayA.G. RíusK.A. MacdonaldM.C. LucyMathew D. LittlejohnS. Meier
- Journals
- Journal of Dairy Science (15 papers)Animal Genetics (2 papers)Journal of Animal Science (1 paper)
- Partner nations
- New ZealandUnited StatesPoland
In The Last Decade
T Grala
25 papers receiving 376 citations
Peers
Comparison fields: 5 of 49
- Agronomy and Crop Science 261
- Genetics 240
- Animal Science and Zoology 82
- Small Animals 32
- Cancer Research 50
Countries citing papers authored by T Grala
This map shows the geographic impact of T Grala'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 T Grala with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Grala more than expected).
Fields of papers citing papers by T Grala
This network shows the impact of papers produced by T Grala. 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 T Grala. The network helps show where T Grala may publish in the future.
Co-authorship network
The 25 scholars most cited alongside T Grala, 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 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2021 | 19 | |
| 4 | 2021 | 8 | |
| 5 | 2019 | 5 | |
| 6 | Genetic parameters of immune response estimated using genetically divergent lines of Holstein-Friesian dairy heifers | 2018 | 1 |
| 7 | 2016 | 6 | |
| 8 | 2014 | 82 | |
| 9 | 2014 | 6 | |
| 10 | 2014 | 21 | |
| 11 | 2014 | 6 | |
| 12 | 2013 | 11 | |
| 13 | 2013 | 21 | |
| 14 | 2013 | 29 | |
| 15 | 2011 | 75 | |
| 16 | 2011 | 12 | |
| 17 | 2010 | 19 | |
| 18 | 2010 | 34 | |
| 19 | 1972 | 3 | |
| 20 | Metabolic balance studies in patients with cardiac cachexia. | 1968 | 1 |
About T Grala
T Grala is a scholar working on Agronomy and Crop Science, Genetics, Animal Science and Zoology, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 25 papers that have together received 385 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (18 papers), Genetic and phenotypic traits in livestock (16 papers), Ruminant Nutrition and Digestive Physiology (10 papers), Cancer-related molecular mechanisms research (4 papers), Effects of Environmental Stressors on Livestock (3 papers), Muscle and Compartmental Disorders (1 paper), Lipid metabolism and disorders (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Agronomy and Crop Science (261 citations), Genetics (240 citations), Animal Science and Zoology (82 citations), Small Animals (32 citations) and Cancer Research (50 citations). T Grala has collaborated with scholars based in New Zealand, United States and Poland. Frequent co-authors include J.R. Roche, C.V.C. Phyn, J.K. Kay, A.G. Ríus, K.A. Macdonald, M.C. Lucy, Mathew D. Littlejohn, S. Meier, Caroline Walker and A.J. Sheahan. Their work appears in journals such as Journal of Dairy Science, Animal Genetics, Journal of Animal Science, Domestic Animal Endocrinology and Physiological Genomics.
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.