Justin Abreu

3.9k total citations
4 papers, 215 citations indexed

About

Justin Abreu is a scholar working on Molecular Biology, Computational Mechanics and Genetics. According to data from OpenAlex, Justin Abreu has authored 4 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 1 paper in Computational Mechanics and 1 paper in Genetics. Recurrent topics in Justin Abreu's work include Genomics and Phylogenetic Studies (2 papers), Molecular Biology Techniques and Applications (1 paper) and Cancer Genomics and Diagnostics (1 paper). Justin Abreu is often cited by papers focused on Genomics and Phylogenetic Studies (2 papers), Molecular Biology Techniques and Applications (1 paper) and Cancer Genomics and Diagnostics (1 paper). Justin Abreu collaborates with scholars based in United States, Brazil and China. Justin Abreu's co-authors include Maura Costello, Stacey Gabriel, Niall J. Lennon, Gina Vicente, Brian Granger, Laurie Holmes, Sheila Dodge, Mark Fleharty, Yossi Farjoun and Steven Ferriera and has published in prestigious journals such as BMC Genomics, Applied Acoustics and Current Protocols in Human Genetics.

In The Last Decade

Justin Abreu

3 papers receiving 212 citations

Peers

Justin Abreu
Kristina Giorda United States
Wendy Brodeur United States
Sheila Dodge United States
Mark Fleharty United States
Walid H. Gharib Switzerland
John C. Athey United States
Ekaterina Osipova United States
Kwondo Kim South Korea
Pablo Álvarez United States
Víctor Salazar Venezuela
Kristina Giorda United States
Justin Abreu
Citations per year, relative to Justin Abreu Justin Abreu (= 1×) peers Kristina Giorda

Countries citing papers authored by Justin Abreu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Justin Abreu

This figure shows the co-authorship network connecting the top 25 collaborators of Justin Abreu. A scholar is included among the top collaborators of Justin Abreu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Justin Abreu. Justin Abreu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Abreu, Justin, et al.. (2025). Effects of low-Mach number mean flows on the performance of acoustic Luneburg lenses. Applied Acoustics. 241. 110986–110986. 1 indexed citations
2.
Costello, Maura, Mark Fleharty, Justin Abreu, et al.. (2018). Characterization and remediation of sample index swaps by non-redundant dual indexing on massively parallel sequencing platforms. BMC Genomics. 19(1). 332–332. 164 indexed citations
3.
Filho, HŽélio Cordeiro Manso, et al.. (2015). DMRT3 mutant allele in batida and picada gaited horses from Campolina and Mangalarga Marchador breeds.. 18(1). 58–64. 1 indexed citations
4.
Blumenstiel, Brendan, Kristian Cibulskis, Sheila Fisher, et al.. (2010). Targeted Exon Sequencing by In‐Solution Hybrid Selection. Current Protocols in Human Genetics. 66(1). 49 indexed citations

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.

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