Joy Brown
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genomic variations and chromosomal abnormalities
- Animal Genetics and Reproduction
- Genetic diversity and population structure
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- Assisted Reproductive Technology and Twin Pregnancy
Papers in
- Genetics 5
- Genetic and phenotypic traits in livestock 5
- Genetic Mapping and Diversity in Plants and Animals 1
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- Assisted Reproductive Technology and Twin Pregnancy 2
- Co-authors
- Alan L. Archibald (4 shared papers)Grant W. Montgomery (2 shared papers)David L. Duffy (2 shared papers)Nicholas G. Martin (2 shared papers)Günther Rettenberger (1 shared paper)Torsten Hardge (1 shared paper)Carol Mayne (1 shared paper)Dorret Irene Boomsma (1 shared paper)
- Journals
- Animal Genetics (4 papers)Mammalian Genome (1 paper)Twin Research and Human Genetics (1 paper)American Journal of Medical Genetics (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Joy Brown
7 papers receiving 363 citations
Peers
Comparison fields: 5 of 25
- Genetics 359
- Pediatrics, Perinatology and Child Health 13
- Endocrine and Autonomic Systems 5
- Plant Science 28
- Animal Science and Zoology 6
Countries citing papers authored by Joy Brown
This map shows the geographic impact of Joy Brown'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 Joy Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joy Brown more than expected).
Fields of papers citing papers by Joy Brown
This network shows the impact of papers produced by Joy Brown. 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 Joy Brown. The network helps show where Joy Brown may publish in the future.
Co-authors
The 17 scholars most cited alongside Joy Brown, 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 | 1995 | 350 | |
| 2 | 2001 | 19 | |
| 3 | 1994 | 10 | |
| 4 | 1995 | 9 | |
| 5 | 2023 | 3 | |
| 6 | 1993 | 2 | |
| 7 | 2002 | 1 |
About Joy Brown
Joy Brown is a scholar working on Genetics, Pediatrics, Perinatology and Child Health, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 7 papers that have together received 394 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (5 papers), Assisted Reproductive Technology and Twin Pregnancy (2 papers) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Genetics (359 citations), Pediatrics, Perinatology and Child Health (13 citations), Endocrine and Autonomic Systems (5 citations), Plant Science (28 citations) and Animal Science and Zoology (6 citations). Joy Brown has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Alan L. Archibald, Grant W. Montgomery, David L. Duffy, Nicholas G. Martin, Günther Rettenberger, Torsten Hardge, Carol Mayne, Dorret Irene Boomsma, Jeff Hall and Sue C. Healey. Their work appears in journals such as Animal Genetics, Mammalian Genome, Twin Research and Human Genetics and American Journal of Medical Genetics.
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.