Roberto A. Barrero

5.6k total citations · 1 hit paper
69 papers, 2.4k citations indexed

About

Roberto A. Barrero is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Roberto A. Barrero has authored 69 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Biology, 23 papers in Plant Science and 8 papers in Genetics. Recurrent topics in Roberto A. Barrero's work include Plant Virus Research Studies (12 papers), Genomics and Phylogenetic Studies (11 papers) and Vector-borne infectious diseases (7 papers). Roberto A. Barrero is often cited by papers focused on Plant Virus Research Studies (12 papers), Genomics and Phylogenetic Studies (11 papers) and Vector-borne infectious diseases (7 papers). Roberto A. Barrero collaborates with scholars based in Australia, United States and Japan. Roberto A. Barrero's co-authors include M. Bellgard, Tao Wang, Leon M. Larcher, Changying Chen, Rakesh N. Veedu, Paula Moolhuijzen, H. Uchimiya, Felix D. Guerrero, Brett Chapman and Adam Hunter and has published in prestigious journals such as PLoS ONE, The Plant Cell and Scientific Reports.

In The Last Decade

Roberto A. Barrero

66 papers receiving 2.3k citations

Hit Papers

Three decades of nucleic acid aptamer technologies: Lesso... 2018 2026 2020 2023 2018 100 200 300 400

Peers

Roberto A. Barrero
Brian Desany United States
G. H. Reed United States
Martin Horn Czechia
Wen Wang China
Brian Desany United States
Roberto A. Barrero
Citations per year, relative to Roberto A. Barrero Roberto A. Barrero (= 1×) peers Brian Desany

Countries citing papers authored by Roberto A. Barrero

Since Specialization
Citations

This map shows the geographic impact of Roberto A. Barrero'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 Roberto A. Barrero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto A. Barrero more than expected).

Fields of papers citing papers by Roberto A. Barrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto A. Barrero. 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 Roberto A. Barrero. The network helps show where Roberto A. Barrero may publish in the future.

Co-authorship network of co-authors of Roberto A. Barrero

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto A. Barrero. A scholar is included among the top collaborators of Roberto A. Barrero 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 Roberto A. Barrero. Roberto A. Barrero is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Gauthier, Marie, Kylie Shand, Satomi Hayashi, et al.. (2025). MicroRNA ‐Induced Gene Silencing ( MIGS ): A Tool for Multi‐Gene Silencing and Targeting Viruses in Plants. Plant Biotechnology Journal. 24(3). 973–987.
2.
Moradi, Afshin, et al.. (2022). Identification of Candidate mRNA Isoforms for Prostate Cancer-Risk SNPs Utilizing Iso-eQTL and sQTL Methods. International Journal of Molecular Sciences. 23(20). 12406–12406. 1 indexed citations
3.
Stica, Caleb, Roberto A. Barrero, Rachael Z. Murray, et al.. (2022). Global Evolutionary History and Dynamics of Dengue Viruses Inferred from Whole Genome Sequences. Viruses. 14(4). 703–703. 18 indexed citations
4.
Whatmore, Paul, et al.. (2022). IsomiR-eQTL: A Cancer-Specific Expression Quantitative Trait Loci Database of miRNAs and Their Isoforms. International Journal of Molecular Sciences. 23(20). 12493–12493. 1 indexed citations
5.
Gauthier, Marie, et al.. (2022). Side-by-Side Comparison of Post-Entry Quarantine and High Throughput Sequencing Methods for Virus and Viroid Diagnosis. Biology. 11(2). 263–263. 18 indexed citations
6.
Gauthier, Marie, Candace E. Elliott, Lia W. Liefting, et al.. (2022). Complete genome sequence of a novel potyvirus infecting Miscanthus sinensis (silver grass). Archives of Virology. 167(8). 1701–1705. 4 indexed citations
8.
Barrero, Roberto A., Louise M. Hafner, Elizabeth A. McGraw, et al.. (2021). Temperature modulates immune gene expression in mosquitoes during arbovirus infection. Open Biology. 11(1). 200246–200246. 35 indexed citations
9.
Wang, Tao, Dongxi Xiang, Yin Wang, et al.. (2020). Author Correction: Aptamer-mediated survivin RNAi enables 5-fluorouracil to eliminate colorectal cancer stem cells. Scientific Reports. 10(1). 22191–22191. 3 indexed citations
10.
Barrero, Roberto A., et al.. (2018). Differentially expressed genes in response to amitraz treatment suggests a proposed model of resistance to amitraz in R. decoloratus ticks. International Journal for Parasitology Drugs and Drug Resistance. 8(3). 361–371. 20 indexed citations
11.
Hogendoorn, Katja, et al.. (2018). De novo assembly of honey bee RNA viral genomes by tapping into the innate insect antiviral response pathway. Journal of Invertebrate Pathology. 152. 38–47. 15 indexed citations
12.
Wang, Tao, Dongxi Xiang, Wang Yin, et al.. (2017). Aptamer-mediated survivin RNAi enables 5-fluorouracil to eliminate colorectal cancer stem cells. Scientific Reports. 7(1). 5898–5898. 44 indexed citations
13.
Hunter, Adam, Saravanan Dayalan, David P. De Souza, et al.. (2016). MASTR-MS: a web-based collaborative laboratory information management system (LIMS) for metabolomics. Metabolomics. 13(2). 14–14. 11 indexed citations
14.
Rice, Emily, Roberto A. Barrero, M. Bellgard, et al.. (2015). Pseudoexon activation increases phenotype severity in a Becker muscular dystrophy patient. Molecular Genetics & Genomic Medicine. 3(4). 320–326. 22 indexed citations
15.
Appels, R., Roberto A. Barrero, & M. Bellgard. (2013). Advances in biotechnology and informatics to link variation in the genome to phenotypes in plants and animals. Functional & Integrative Genomics. 13(1). 1–9. 13 indexed citations
16.
Bellgard, M., Paula Moolhuijzen, Felix D. Guerrero, et al.. (2011). CattleTickBase: Internet-based analysis tools and bioinformatics repository of available genomics resources for Rhipicephalus (Boophilus) microplus.. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
17.
Tanaka, Susumu, Yumi Yamaguchi‐Kabata, Hideki Hanaoka, et al.. (2011). A prioritization analysis of disease association by data-mining of functional annotation of human genes. Genomics. 99(1). 1–9. 8 indexed citations
18.
Murray, Dáithí C., Michael Bunce, Belinda Cannell, et al.. (2011). DNA-Based Faecal Dietary Analysis: A Comparison of qPCR and High Throughput Sequencing Approaches. PLoS ONE. 6(10). e25776–e25776. 114 indexed citations
19.
Bellgard, M., Tom La, Paula Moolhuijzen, et al.. (2009). Genome Sequence of the Pathogenic Intestinal Spirochete Brachyspira hyodysenteriae Reveals Adaptations to Its Lifestyle in the Porcine Large Intestine. PLoS ONE. 4(3). e4641–e4641. 76 indexed citations
20.
Kawazoe, Ai, Lihua Jin, Mika Shigematsu, et al.. (2006). The Development of a Schema for the Annotation of Terms in the Biocaster Disease Detecting/Tracking System.. QUT ePrints (Queensland University of Technology). 12 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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