Sandro F. Ataide

1.3k total citations
31 papers, 1.0k citations indexed

About

Sandro F. Ataide is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Sandro F. Ataide has authored 31 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 13 papers in Genetics and 6 papers in Ecology. Recurrent topics in Sandro F. Ataide's work include RNA and protein synthesis mechanisms (23 papers), Bacterial Genetics and Biotechnology (13 papers) and RNA modifications and cancer (8 papers). Sandro F. Ataide is often cited by papers focused on RNA and protein synthesis mechanisms (23 papers), Bacterial Genetics and Biotechnology (13 papers) and RNA modifications and cancer (8 papers). Sandro F. Ataide collaborates with scholars based in Australia, United States and Switzerland. Sandro F. Ataide's co-authors include Nenad Ban, Andrea Haag, Julius Rabl, Marc Leibundgut, Michael Ibba, Kuang Shen, N. Schmitz, Shu‐ou Shan, Ailong Ke and Jennifer A. Doudna and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Sandro F. Ataide

31 papers receiving 997 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sandro F. Ataide Australia 17 912 212 104 55 52 31 1.0k
Masayuki Takahashi Japan 18 892 1.0× 189 0.9× 112 1.1× 107 1.9× 33 0.6× 47 1.1k
Reynald Gillet France 21 964 1.1× 353 1.7× 210 2.0× 26 0.5× 35 0.7× 57 1.1k
Eric J. Tomko United States 15 963 1.1× 234 1.1× 81 0.8× 83 1.5× 95 1.8× 22 1.0k
Junhong Choi United States 17 1.1k 1.3× 185 0.9× 62 0.6× 113 2.1× 66 1.3× 31 1.2k
Sergei Gaidamakov United States 13 1.0k 1.1× 138 0.7× 118 1.1× 40 0.7× 66 1.3× 17 1.2k
Ana Barbas Portugal 16 867 1.0× 261 1.2× 158 1.5× 56 1.0× 41 0.8× 27 979
Jaanus Rèmme Estonia 24 1.7k 1.9× 512 2.4× 226 2.2× 54 1.0× 37 0.7× 67 1.8k
Smadar Cohen‐Chalamish Israel 15 1.0k 1.1× 235 1.1× 86 0.8× 60 1.1× 28 0.5× 21 1.2k
Yeming Wang China 15 564 0.6× 126 0.6× 56 0.5× 61 1.1× 55 1.1× 24 691
Valérie Heurgué‐Hamard France 20 1.4k 1.5× 287 1.4× 117 1.1× 103 1.9× 31 0.6× 27 1.4k

Countries citing papers authored by Sandro F. Ataide

Since Specialization
Citations

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

Fields of papers citing papers by Sandro F. Ataide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sandro F. Ataide. 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 Sandro F. Ataide. The network helps show where Sandro F. Ataide may publish in the future.

Co-authorship network of co-authors of Sandro F. Ataide

This figure shows the co-authorship network connecting the top 25 collaborators of Sandro F. Ataide. A scholar is included among the top collaborators of Sandro F. Ataide 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 Sandro F. Ataide. Sandro F. Ataide 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.
Wilkinson‐White, Lorna, Biswaranjan Mohanty, Anthony P. Duff, et al.. (2024). Peptide nucleic acids can form hairpins and bind RNA-binding proteins. PLoS ONE. 19(9). e0310565–e0310565. 2 indexed citations
2.
Baker, David L., Bing Wang, Lorna Wilkinson‐White, et al.. (2024). A Biochemical and Biophysical Analysis of the Interaction of nsp9 with nsp12 from SARS‐CoV ‐2—Implications for Future Drug Discovery Efforts. Proteins Structure Function and Bioinformatics. 92(11). 1308–1317. 1 indexed citations
3.
Hall, Ruth M., et al.. (2024). A programmable seekRNA guides target selection by IS1111 and IS110 type insertion sequences. Nature Communications. 15(1). 5235–5235. 16 indexed citations
4.
Wang, Bing, David L. Baker, Sandro F. Ataide, et al.. (2023). A structural analysis of the nsp9 protein from the coronavirus MERS CoV reveals a conserved RNA binding interface. Proteins Structure Function and Bioinformatics. 92(3). 418–426. 1 indexed citations
5.
Walshe, J.L., et al.. (2022). Structural characterization of the ANTAR antiterminator domain bound to RNA. Nucleic Acids Research. 50(5). 2889–2904. 5 indexed citations
6.
Ashley, Caroline L., et al.. (2022). Assessing the suitability of long non-coding RNAs as therapeutic targets and biomarkers in SARS-CoV-2 infection. Frontiers in Molecular Biosciences. 9. 975322–975322. 7 indexed citations
7.
Harmer, Christopher J., et al.. (2021). Characterization of the specific DNA-binding properties of Tnp26, the transposase of insertion sequence IS26. Journal of Biological Chemistry. 297(4). 101165–101165. 3 indexed citations
8.
Ataide, Sandro F., et al.. (2021). Noncanonical Functions and Cellular Dynamics of the Mammalian Signal Recognition Particle Components. Frontiers in Molecular Biosciences. 8. 679584–679584. 14 indexed citations
9.
Ataide, Sandro F., et al.. (2019). Structural insights into the G-loop dynamics of E. coli FtsY NG domain. Journal of Structural Biology. 208(3). 107387–107387. 1 indexed citations
10.
Harmer, Christopher J., et al.. (2019). An IS26variant with enhanced activity. FEMS Microbiology Letters. 366(3). 30 indexed citations
11.
Ataide, Sandro F., et al.. (2018). Structural Changes of RNA in Complex with Proteins in the SRP. Frontiers in Molecular Biosciences. 5. 7–7. 25 indexed citations
12.
Ataide, Sandro F., et al.. (2014). Ribonomic approaches to study the RNA‐binding proteome. FEBS Letters. 588(20). 3649–3664. 40 indexed citations
13.
Voigts-Hoffmann, F., N. Schmitz, Kuang Shen, et al.. (2013). The Structural Basis of FtsY Recruitment and GTPase Activation by SRP RNA. Molecular Cell. 52(5). 643–654. 42 indexed citations
14.
Rogers, Theresa, Sandro F. Ataide, Assaf Katz, et al.. (2012). A Pseudo-tRNA Modulates Antibiotic Resistance in Bacillus cereus. PLoS ONE. 7(7). e41248–e41248. 17 indexed citations
15.
Rabl, Julius, Marc Leibundgut, Sandro F. Ataide, Andrea Haag, & Nenad Ban. (2010). Crystal Structure of the Eukaryotic 40 S Ribosomal Subunit in Complex with Initiation Factor 1. Science. 331(6018). 730–736. 364 indexed citations
16.
Ataide, Sandro F., Theresa Rogers, & Michael Ibba. (2009). The CCA anticodon specifies separate functions inside and outside translation inBacillus cereus. RNA Biology. 6(4). 479–487. 6 indexed citations
17.
Ataide, Sandro F. & Michael Ibba. (2006). Small Molecules: Big Players in the Evolution of Protein Synthesis. ACS Chemical Biology. 1(5). 285–297. 35 indexed citations
18.
Ataide, Sandro F., et al.. (2005). Stationary‐phase expression and aminoacylation of a transfer‐RNA‐like small RNA. EMBO Reports. 6(8). 742–747. 17 indexed citations
19.
Ataide, Sandro F., et al.. (2004). Divergence in Noncognate Amino Acid Recognition between Class I and Class II Lysyl-tRNA Synthetases. Journal of Biological Chemistry. 279(17). 17707–17714. 34 indexed citations
20.
Polycarpo, Carla, Alexandre Ambrogelly, Benfang Helen Ruan, et al.. (2003). Activation of the Pyrrolysine Suppressor tRNA Requires Formation of a Ternary Complex with Class I and Class II Lysyl-tRNA Synthetases. Molecular Cell. 12(2). 287–294. 58 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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