Ayala Shiber

941 total citations
15 papers, 632 citations indexed

About

Ayala Shiber is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Ayala Shiber has authored 15 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cell Biology. Recurrent topics in Ayala Shiber's work include RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (4 papers) and Peptidase Inhibition and Analysis (4 papers). Ayala Shiber is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), RNA modifications and cancer (4 papers) and Peptidase Inhibition and Analysis (4 papers). Ayala Shiber collaborates with scholars based in Israel, Germany and United States. Ayala Shiber's co-authors include Tommer Ravid, Bernd Bukau, Günter Krämer, William Breuer, Kevin Klann, Ulrike Friedrich, Mostafa Zedan, Kristina Döring, Michael Brandeis and Frank Tippmann and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Ayala Shiber

14 papers receiving 628 citations

Peers

Ayala Shiber
Stefan Imseng Switzerland
Kacper B. Rogala United Kingdom
Ling-chun Chen United States
Jennifer Paulson United States
Stephen B. Sampson United States
Manoël Prouteau Switzerland
Stefan Imseng Switzerland
Ayala Shiber
Citations per year, relative to Ayala Shiber Ayala Shiber (= 1×) peers Stefan Imseng

Countries citing papers authored by Ayala Shiber

Since Specialization
Citations

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

Fields of papers citing papers by Ayala Shiber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ayala Shiber

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

All Works

15 of 15 papers shown
2.
Cohen, Noam, et al.. (2024). Diverging co-translational protein complex assembly pathways are governed by interface energy distribution. Nature Communications. 15(1). 2638–2638. 4 indexed citations
3.
Mallik, Saurav, Arseniy Lobov, Meta Heidenreich, et al.. (2024). Structural determinants of co-translational protein complex assembly. Cell. 188(3). 764–777.e22. 8 indexed citations
4.
Shiber, Ayala. (2024). Early insights into co-translational assembly of protein complexes. Nature Reviews Molecular Cell Biology. 25(7). 515–515. 1 indexed citations
5.
Klann, Kevin, et al.. (2022). Purification of Ribosome-Nascent-Chain Complex for Ribosome Profiling and Selective Ribosome Profiling. Methods in molecular biology. 2477. 179–193. 1 indexed citations
6.
Shiber, Ayala, et al.. (2021). Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling. Journal of Visualized Experiments. 1 indexed citations
7.
Sharma, Ajeet K., et al.. (2021). Combinations of slow-translating codon clusters can increase mRNA half-life in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 118(51). 5 indexed citations
8.
Shiber, Ayala, et al.. (2021). Global Identification of Co-Translational Interaction Networks by Selective Ribosome Profiling. Journal of Visualized Experiments. 1 indexed citations
9.
Shiber, Ayala, Kristina Döring, Ulrike Friedrich, et al.. (2018). Cotranslational assembly of protein complexes in eukaryotes revealed by ribosome profiling. Nature. 561(7722). 268–272. 208 indexed citations
10.
Krämer, Günter, Ayala Shiber, & Bernd Bukau. (2018). Mechanisms of Cotranslational Maturation of Newly Synthesized Proteins. Annual Review of Biochemistry. 88(1). 337–364. 134 indexed citations
11.
Shiber, Ayala, William Breuer, & Tommer Ravid. (2014). Flow cytometric quantification and characterization of intracellular protein aggregates in yeast. Prion. 8(3). 276–284. 9 indexed citations
12.
13.
Shiber, Ayala, William Breuer, & Tommer Ravid. (2014). Flow Cytometric Quantification and Characterization of Intracellular Protein Aggregates in Yeast. Prion. 8(3). 1 indexed citations
14.
Shiber, Ayala, William Breuer, Michael Brandeis, & Tommer Ravid. (2013). Ubiquitin conjugation triggers misfolded protein sequestration into quality control foci when Hsp70 chaperone levels are limiting. Molecular Biology of the Cell. 24(13). 2076–2087. 91 indexed citations
15.
Furth, Noa, et al.. (2011). Exposure of bipartite hydrophobic signal triggers nuclear quality control of Ndc10 at the endoplasmic reticulum/nuclear envelope. Molecular Biology of the Cell. 22(24). 4726–4739. 53 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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