Justin Abreu
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Insect and Arachnid Ecology and Behavior
- Insect Science top 2%
Papers in
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- Cancer Genomics and Diagnostics 1
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- Lipid metabolism and biosynthesis 1
- Co-authors
- Maura Costello (2 shared papers)Stacey L. Gabriel (2 shared papers)Gina Vicente (1 shared paper)Mark Fleharty (1 shared paper)Lisa Green (1 shared paper)Wendy Brodeur (1 shared paper)Sheila Dodge (1 shared paper)Niall J. Lennon (1 shared paper)
- Journals
- New England Journal of Medicine (1 paper)Current Protocols in Human Genetics (1 paper)Nature (1 paper)BMC Genomics (1 paper)Applied Acoustics (1 paper)
- Partner nations
- United StatesCanadaBrazil
In The Last Decade
Justin Abreu
7 papers receiving 2.7k citations
Justin Abreu's Hit Papers
Peers
Comparison fields: 5 of 108
- Genetics 885
- Insect Science 334
- Aging 46
- Molecular Biology 1.3k
- Cardiology and Cardiovascular Medicine 385
Countries citing papers authored by Justin Abreu
This map shows the geographic impact of Justin Abreu'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 Justin Abreu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Abreu more than expected).
Fields of papers citing papers by Justin Abreu
This network shows the impact of papers produced by Justin Abreu. 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 Justin Abreu. The network helps show where Justin Abreu may publish in the future.
Co-authors
The 25 scholars most cited alongside Justin Abreu, 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 | Evolution of genes and genomes on the Drosophila phylogeny Hit paper breakdown → | 2007 | 1584 |
| 2 | Exome Sequencing, ANGPTL3 Mutations, and Familial Combined Hypolipidemia Hit paper breakdown → | 2010 | 621 |
| 3 | 2011 | 365 | |
| 4 | 2018 | 181 | |
| 5 | 2010 | 53 | |
| 6 | DMRT3 mutant allele in batida and picada gaited horses from Campolina and Mangalarga Marchador breeds. | 2015 | 2 |
| 7 | 2025 | 1 |
About Justin Abreu
Justin Abreu is a scholar working on Cancer Research, Biochemistry, Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 7 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Molecular Biology Techniques and Applications (2 papers), Animal Genetics and Reproduction (1 paper), Lipid metabolism and biosynthesis (1 paper), Invertebrate Immune Response Mechanisms (1 paper), Genetic diversity and population structure (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Genetics (885 citations), Insect Science (334 citations), Aging (46 citations), Molecular Biology (1.3k citations) and Cardiology and Cardiovascular Medicine (385 citations). Justin Abreu has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Maura Costello, Stacey L. Gabriel, Gina Vicente, Mark Fleharty, Lisa Green, Wendy Brodeur, Sheila Dodge, Niall J. Lennon, Timothy DeSmet and Laurie Holmes. Their work appears in journals such as New England Journal of Medicine, Current Protocols in Human Genetics, Nature, BMC Genomics and Applied Acoustics.
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.