Jay Hetzel
Impact in
- Genetics top 10%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
- Genetic diversity and population structure
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- Reproductive Physiology in Livestock
Papers in
- Genetics 8
- Animal Genetics and Reproduction 6
- Genetic Mapping and Diversity in Plants and Animals 5
- Genetic and phenotypic traits in livestock 3
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- Genomics and Chromatin Dynamics 2
- Genomics and Phylogenetic Studies 1
- Advanced Biosensing Techniques and Applications 1
- Co-authors
- S. S. Moore (4 shared papers)W. Barendse (5 shared papers)Roger D. Drinkwater (2 shared papers)James E. Womack (4 shared papers)R. Hediger (1 shared paper)Michel Georges (3 shared papers)Anuradha Mishra (1 shared paper)Leslie S. Sargeant (1 shared paper)
- Journals
- Genomics (5 papers)Nature Genetics (2 papers)Mammalian Genome (1 paper)IEEE Engineering in Medicine and Biology Magazine (1 paper)
- Partner nations
- AustraliaUnited StatesIreland
In The Last Decade
Jay Hetzel
9 papers receiving 279 citations
Peers
Comparison fields: 5 of 50
- Genetics 242
- Agronomy and Crop Science 40
- Cancer Research 36
- Endocrinology, Diabetes and Metabolism 35
- Animal Science and Zoology 19
Countries citing papers authored by Jay Hetzel
This map shows the geographic impact of Jay Hetzel'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 Jay Hetzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay Hetzel more than expected).
Fields of papers citing papers by Jay Hetzel
This network shows the impact of papers produced by Jay Hetzel. 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 Jay Hetzel. The network helps show where Jay Hetzel may publish in the future.
Co-authors
The 21 scholars most cited alongside Jay Hetzel, 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 | 1993 | 110 | |
| 2 | 1990 | 89 | |
| 3 | 1992 | 33 | |
| 4 | 1993 | 32 | |
| 5 | 1992 | 13 | |
| 6 | 2003 | 9 | |
| 7 | 1993 | 8 | |
| 8 | 1995 | 7 | |
| 9 | 1993 | 7 |
About Jay Hetzel
Jay Hetzel is a scholar working on Genetics, Molecular Biology, Cancer Research, Plant Science and Immunology, having authored 9 papers that have together received 308 indexed citations. Recurring topics across this work include Animal Genetics and Reproduction (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (3 papers), Genomics and Chromatin Dynamics (2 papers), Chromosomal and Genetic Variations (2 papers), Genomics and Phylogenetic Studies (1 paper), Cancer-related molecular mechanisms research (1 paper) and Advanced Biosensing Techniques and Applications (1 paper). The work is most often cited by research in Genetics (242 citations), Agronomy and Crop Science (40 citations), Cancer Research (36 citations), Endocrinology, Diabetes and Metabolism (35 citations) and Animal Science and Zoology (19 citations). Jay Hetzel has collaborated with scholars based in Australia, United States and Ireland. Frequent co-authors include S. S. Moore, W. Barendse, Roger D. Drinkwater, James E. Womack, R. Hediger, Michel Georges, Anuradha Mishra, Leslie S. Sargeant, Michael R. Steele and Dahlia M. Nielsen. Their work appears in journals such as Genomics, Nature Genetics, Mammalian Genome and IEEE Engineering in Medicine and Biology Magazine.
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.