Sara Zaccara

6.9k total citations · 4 hit papers
22 papers, 4.3k citations indexed

About

Sara Zaccara is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sara Zaccara has authored 22 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Sara Zaccara's work include RNA modifications and cancer (15 papers), RNA Research and Splicing (11 papers) and Cancer-related gene regulation (6 papers). Sara Zaccara is often cited by papers focused on RNA modifications and cancer (15 papers), RNA Research and Splicing (11 papers) and Cancer-related gene regulation (6 papers). Sara Zaccara collaborates with scholars based in United States, Italy and Poland. Sara Zaccara's co-authors include Samie R. Jaffrey, Ryan J. Ries, Brian F. Pickering, Anthony O. Olarerin-George, Hojoong Kwak, Pierre Klein, Deepak P. Patil, Sim Namkoong, Jun Hee Lee and Virginia M. Klimek and has published in prestigious journals such as Nature, Cell and Nature Medicine.

In The Last Decade

Sara Zaccara

22 papers receiving 4.3k citations

Hit Papers

Reading, writing and erasing mRNA methylation 2017 2026 2020 2023 2019 2017 2020 2019 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sara Zaccara United States 14 4.2k 1.9k 588 440 154 22 4.3k
Junho Choe South Korea 21 3.4k 0.8× 1.5k 0.8× 393 0.7× 211 0.5× 107 0.7× 28 3.5k
Brian F. Pickering United States 14 4.7k 1.1× 2.2k 1.2× 670 1.1× 289 0.7× 147 1.0× 16 4.8k
Bryan T. Harada United States 17 2.6k 0.6× 1.2k 0.6× 323 0.5× 205 0.5× 109 0.7× 19 2.7k
Isaia Barbieri United Kingdom 9 2.3k 0.6× 1.2k 0.7× 196 0.3× 274 0.6× 59 0.4× 12 2.5k
Joseph A. Bokar United States 17 1.6k 0.4× 674 0.4× 240 0.4× 297 0.7× 110 0.7× 39 2.0k
Wanqiang Sheng United States 11 1.3k 0.3× 477 0.3× 113 0.2× 333 0.8× 40 0.3× 13 1.7k
Konstantinos Tzelepis United Kingdom 18 1.6k 0.4× 639 0.3× 177 0.3× 137 0.3× 31 0.2× 35 1.8k
Aldema Sas‐Chen Israel 17 1.7k 0.4× 1.0k 0.6× 43 0.1× 110 0.3× 37 0.2× 22 1.8k
Amélie Rodrigue Canada 19 1.6k 0.4× 261 0.1× 76 0.1× 913 2.1× 31 0.2× 30 2.0k
Alexander Federation United States 13 1.3k 0.3× 308 0.2× 51 0.1× 216 0.5× 41 0.3× 15 1.7k

Countries citing papers authored by Sara Zaccara

Since Specialization
Citations

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

Fields of papers citing papers by Sara Zaccara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sara Zaccara

This figure shows the co-authorship network connecting the top 25 collaborators of Sara Zaccara. A scholar is included among the top collaborators of Sara Zaccara 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 Sara Zaccara. Sara Zaccara 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.
Murakami, Shino, Anthony O. Olarerin-George, Jianheng Liu, et al.. (2025). m6A alters ribosome dynamics to initiate mRNA degradation. Cell. 188(14). 3728–3743.e20. 6 indexed citations
2.
Arcas, Aída, Luisa Statello, Enrique Goñi, et al.. (2024). YTHDC1 m6A-dependent and m6A-independent functions converge to preserve the DNA damage response. The EMBO Journal. 43(16). 3494–3522. 3 indexed citations
3.
Zaccara, Sara & Samie R. Jaffrey. (2024). Understanding the redundant functions of the m6A-binding YTHDF proteins. RNA. 30(5). 468–481. 13 indexed citations
4.
Zaccara, Sara, Ryan J. Ries, & Samie R. Jaffrey. (2023). Publisher Correction: Reading, writing and erasing mRNA methylation. Nature Reviews Molecular Cell Biology. 24(10). 770–770. 13 indexed citations
5.
Bisio, Alessandra, et al.. (2021). TranSNPs: A class of functional SNPs affecting mRNA translation potential revealed by fraction-based allelic imbalance. iScience. 24(12). 103531–103531. 2 indexed citations
6.
Zaccara, Sara, Annalisa Rossi, Matthew D. Galbraith, et al.. (2020). Nutlin-Induced Apoptosis Is Specified by a Translation Program Regulated by PCBP2 and DHX30. Cell Reports. 30(13). 4355–4369.e6. 21 indexed citations
7.
Zaccara, Sara & Samie R. Jaffrey. (2020). A Unified Model for the Function of YTHDF Proteins in Regulating m6A-Modified mRNA. Cell. 181(7). 1582–1595.e18. 538 indexed citations breakdown →
8.
Zaccara, Sara, et al.. (2020). Translation control can shape TP53-dependent cell fate. Molecular & Cellular Oncology. 7(5). 1767483–1767483. 2 indexed citations
9.
Zaccara, Sara, Ryan J. Ries, & Samie R. Jaffrey. (2019). Reading, writing and erasing mRNA methylation. Nature Reviews Molecular Cell Biology. 20(10). 608–624. 1700 indexed citations breakdown →
10.
Ries, Ryan J., Sara Zaccara, Pierre Klein, et al.. (2019). m6A enhances the phase separation potential of mRNA. Nature. 571(7765). 424–428. 517 indexed citations breakdown →
11.
Boulias, Konstantinos, Ben R Hawley, Noa Liberman, et al.. (2019). Identification of the m6Am Methyltransferase PCIF1 Reveals the Location and Functions of m6Am in the Transcriptome. Molecular Cell. 75(3). 631–643.e8. 202 indexed citations
12.
Wu, Jiahui, Sara Zaccara, Deepak Khuperkar, et al.. (2019). Live imaging of mRNA using RNA-stabilized fluorogenic proteins. Nature Methods. 16(9). 862–865. 89 indexed citations
13.
Andrysík, Zdeněk, Matthew D. Galbraith, Anna L. Guarnieri, et al.. (2017). Identification of a core TP53 transcriptional program with highly distributed tumor suppressive activity. Genome Research. 27(10). 1645–1657. 108 indexed citations
14.
Vu, Ly, Brian F. Pickering, Yuanming Cheng, et al.. (2017). The N6-methyladenosine (m6A)-forming enzyme METTL3 controls myeloid differentiation of normal hematopoietic and leukemia cells. Nature Medicine. 23(11). 1369–1376. 932 indexed citations breakdown →
15.
Tebaldi, Toma, Sara Zaccara, Federica Alessandrini, et al.. (2015). Whole-genome cartography of p53 response elements ranked on transactivation potential. BMC Genomics. 16(1). 464–464. 52 indexed citations
16.
Zaccara, Sara, et al.. (2014). p53-directed translational control can shape and expand the universe of p53 target genes. Cell Death and Differentiation. 21(10). 1522–1534. 50 indexed citations
17.
Zaccara, Sara, et al.. (2014). 282: p53-directed translational control can shape and expand the universe of p53 target genes. European Journal of Cancer. 50. S66–S67. 2 indexed citations
18.
Bisio, Alessandra, Judit Zámborszky, Sara Zaccara, et al.. (2014). Cooperative interactions between p53 and NFκB enhance cell plasticity. Oncotarget. 5(23). 12111–12125. 26 indexed citations
19.
Bisio, Alessandra, Judit Zámborszky, Sara Zaccara, et al.. (2013). Abstract 746: Functional crosstalk between the p53 and NF-kB transcription factors.. Cancer Research. 73(8_Supplement). 746–746. 1 indexed citations
20.
Pinzani, Pamela, Francesca Salvianti, Sara Zaccara, et al.. (2011). Circulating cell-free DNA in plasma of melanoma patients: Qualitative and quantitative considerations. Clinica Chimica Acta. 412(23-24). 2141–2145. 61 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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