Ariel Bazzini

5.1k total citations · 2 hit papers
35 papers, 3.0k citations indexed

About

Ariel Bazzini is a scholar working on Molecular Biology, Plant Science and Cancer Research. According to data from OpenAlex, Ariel Bazzini has authored 35 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 13 papers in Plant Science and 6 papers in Cancer Research. Recurrent topics in Ariel Bazzini's work include RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (11 papers). Ariel Bazzini is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (13 papers) and RNA modifications and cancer (11 papers). Ariel Bazzini collaborates with scholars based in United States, Argentina and Germany. Ariel Bazzini's co-authors include Antonio J. Giráldez, Miler T. Lee, Timothy G. Johnstone, Elizabeth Fleming, H. Esteban Hopp, Charles E. Vejnar, Sebastián Asurmendi, Qiushuang Wu, Roger N. Beachy and Ashley R. Bonneau and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Ariel Bazzini

34 papers receiving 3.0k citations

Hit Papers

Ribosome Profiling Shows That miR-430 Reduces Translation... 2012 2026 2016 2021 2012 2014 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ariel Bazzini United States 19 2.4k 680 610 217 114 35 3.0k
Sarah F. Newbury United Kingdom 27 2.4k 1.0× 506 0.7× 291 0.5× 690 3.2× 155 1.4× 56 2.9k
James K. Nuñez United States 12 3.3k 1.3× 241 0.4× 253 0.4× 620 2.9× 159 1.4× 16 3.6k
Dariusz Przybylski United States 11 1.8k 0.7× 191 0.3× 555 0.9× 372 1.7× 440 3.9× 11 2.8k
Richard Roy Canada 21 2.2k 0.9× 305 0.4× 156 0.3× 315 1.5× 82 0.7× 45 2.7k
Traci M. Tanaka Hall United States 32 3.6k 1.5× 275 0.4× 631 1.0× 289 1.3× 162 1.4× 63 4.2k
Weifeng Gu United States 27 3.8k 1.5× 600 0.9× 1.4k 2.3× 288 1.3× 198 1.7× 41 4.6k
Shunmin He China 29 2.9k 1.2× 1.3k 2.0× 526 0.9× 290 1.3× 112 1.0× 64 3.4k
Sherif Abou Elela Canada 38 4.0k 1.7× 728 1.1× 358 0.6× 227 1.0× 154 1.4× 96 4.4k
Elena Giulotto Italy 36 3.4k 1.4× 521 0.8× 1.6k 2.7× 1.1k 4.9× 129 1.1× 104 4.6k

Countries citing papers authored by Ariel Bazzini

Since Specialization
Citations

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

Fields of papers citing papers by Ariel Bazzini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ariel Bazzini. 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 Ariel Bazzini. The network helps show where Ariel Bazzini may publish in the future.

Co-authorship network of co-authors of Ariel Bazzini

This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Bazzini. A scholar is included among the top collaborators of Ariel Bazzini 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 Ariel Bazzini. Ariel Bazzini 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.
Moreno-Sánchez, Ismael, Pedro Manuel Martínez‐García, Anthony J. Treichel, et al.. (2025). Enhanced RNA-targeting CRISPR-Cas technology in zebrafish. Nature Communications. 16(1). 2591–2591. 3 indexed citations
2.
Varberg, Joseph M., et al.. (2024). Protein profiling of zebrafish embryos unmasks regulatory layers during early embryogenesis. Cell Reports. 43(10). 114769–114769. 5 indexed citations
3.
Castellano, Luciana Andrea, et al.. (2024). Dengue virus preferentially uses human and mosquito non-optimal codons. Molecular Systems Biology. 20(10). 1085–1108. 7 indexed citations
4.
Tornini, Valerie A., Ho‐Joon Lee, François Kroll, et al.. (2023). linc-mipep and linc-wrb encode micropeptides that regulate chromatin accessibility in vertebrate-specific neural cells. eLife. 12. 9 indexed citations
5.
Treichel, Anthony J. & Ariel Bazzini. (2022). Casting CRISPR-Cas13d to fish for microprotein functions in animal development. iScience. 25(12). 105547–105547. 6 indexed citations
6.
Castellano, Luciana Andrea, et al.. (2022). iCodon customizes gene expression based on the codon composition. Scientific Reports. 12(1). 12126–12126. 30 indexed citations
7.
Kushawah, Gopal, Alejandro Díaz‐Moscoso, Laura Tomás‐Gallardo, et al.. (2021). Optimized CRISPR-RfxCas13d system for RNA targeting in zebrafish embryos. STAR Protocols. 3(1). 101058–101058. 12 indexed citations
8.
Wu, Qiushuang, Matthew Wright, Madelaine Gogol, et al.. (2020). Translation of small downstream ORFs enhances translation of canonical main open reading frames. The EMBO Journal. 39(17). e104763–e104763. 83 indexed citations
9.
Tang, Yin, Charles E. Vejnar, Jean-Denis Beaudoin, et al.. (2019). Brd4 and P300 Confer Transcriptional Competency during Zygotic Genome Activation. Developmental Cell. 49(6). 867–881.e8. 93 indexed citations
10.
Wu, Qiushuang & Ariel Bazzini. (2017). Systems to study codon effect on post-transcriptional regulation of gene expression. Methods. 137. 82–89. 6 indexed citations
11.
Castellano, Luciana Andrea & Ariel Bazzini. (2017). Poly(A) tails: longer is not always better. Nature Structural & Molecular Biology. 24(12). 1010–1011. 3 indexed citations
12.
Johnstone, Timothy G., Ariel Bazzini, & Antonio J. Giráldez. (2016). Upstream ORF s are prevalent translational repressors in vertebrates. The EMBO Journal. 35(7). 706–723. 246 indexed citations
13.
Bazzini, Ariel, Timothy G. Johnstone, Romain Christiano, et al.. (2014). Identification of small ORFs in vertebrates using ribosome footprinting and evolutionary conservation. The EMBO Journal. 33(9). 981–993. 493 indexed citations breakdown →
14.
Lee, Miler T., Ashley R. Bonneau, Carter M. Takacs, et al.. (2013). Nanog, Pou5f1 and SoxB1 activate zygotic gene expression during the maternal-to-zygotic transition. Nature. 503(7476). 360–364. 362 indexed citations
15.
Bazzini, Ariel, Miler T. Lee, & Antonio J. Giráldez. (2012). Ribosome Profiling Shows That miR-430 Reduces Translation Before Causing mRNA Decay in Zebrafish. Science. 336(6078). 233–237. 560 indexed citations breakdown →
16.
Bazzini, Ariel, Takayuki Tohge, Gabriela Conti, et al.. (2011). Metabolic and miRNA Profiling of TMV Infected Plants Reveals Biphasic Temporal Changes. PLoS ONE. 6(12). e28466–e28466. 55 indexed citations
17.
Bazzini, Ariel, Ramón Asís, Sebastián Bassi, et al.. (2010). miSolRNA: A tomato micro RNA relational database. BMC Plant Biology. 10(1). 240–240. 9 indexed citations
18.
Bazzini, Ariel, Natalia Inés Almasia, Vanesa Mongelli, et al.. (2009). Virus infection elevates transcriptional activity of miR164a promoter in plants. BMC Plant Biology. 9(1). 152–152. 49 indexed citations
19.
Almasia, Natalia Inés, Ariel Bazzini, H. Esteban Hopp, & Cecilia Vázquez Rovere. (2008). Overexpression of snakin‐1 gene enhances resistance to Rhizoctonia solani and Erwinia carotovora in transgenic potato plants. Molecular Plant Pathology. 9(3). 329–338. 129 indexed citations
20.
Bendahmane, Mohammed, et al.. (2007). Coat protein-mediated resistance to TMV infection of Nicotiana tabacum involves multiple modes of interference by coat protein. Virology. 366(1). 107–116. 48 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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