Yoav Arava

2.6k total citations · 1 hit paper
48 papers, 1.8k citations indexed

About

Yoav Arava is a scholar working on Molecular Biology, Surgery and Computational Theory and Mathematics. According to data from OpenAlex, Yoav Arava has authored 48 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Computational Theory and Mathematics. Recurrent topics in Yoav Arava's work include RNA and protein synthesis mechanisms (33 papers), RNA modifications and cancer (27 papers) and RNA Research and Splicing (27 papers). Yoav Arava is often cited by papers focused on RNA and protein synthesis mechanisms (33 papers), RNA modifications and cancer (27 papers) and RNA Research and Splicing (27 papers). Yoav Arava collaborates with scholars based in Israel, United States and United Kingdom. Yoav Arava's co-authors include John D. Storey, Patrick O. Brown, Chih Long Liu, Yulei Wang, Daniel Herschlag, Daniel R. Melamed, Lilach Pnueli, Chen Lesnik, Avigail Atir-Lande and Maya Schuldiner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Yoav Arava

47 papers receiving 1.8k citations

Hit Papers

Genome-wide analysis of mRNA translation profiles in Sacc... 2003 2026 2010 2018 2003 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
Yoav Arava Israel 21 1.7k 145 128 89 79 48 1.8k
Juan A. G. Ranea Spain 20 1.1k 0.6× 197 1.4× 156 1.2× 86 1.0× 44 0.6× 73 1.4k
Daniel H. Lackner United Kingdom 16 1.7k 1.0× 143 1.0× 133 1.0× 129 1.4× 64 0.8× 20 1.9k
Racha Chouaib France 12 1.4k 0.8× 74 0.5× 123 1.0× 79 0.9× 105 1.3× 13 1.6k
Stefan Legewie Germany 23 1.3k 0.8× 107 0.7× 196 1.5× 87 1.0× 93 1.2× 44 1.6k
Alejandra Clark United Kingdom 13 801 0.5× 147 1.0× 214 1.7× 79 0.9× 47 0.6× 21 1.1k
Fabien Bonneau Germany 24 1.9k 1.1× 96 0.7× 136 1.1× 80 0.9× 122 1.5× 37 2.2k
Sven Thoms Germany 24 1.3k 0.8× 63 0.4× 168 1.3× 52 0.6× 59 0.7× 46 1.5k
Zhi‐Xin Wang China 21 1.0k 0.6× 85 0.6× 168 1.3× 184 2.1× 68 0.9× 51 1.3k
June‐Tai Wu Taiwan 18 1.4k 0.8× 145 1.0× 154 1.2× 73 0.8× 107 1.4× 42 1.8k
Philippe Vaglio United States 16 1.7k 1.0× 162 1.1× 217 1.7× 152 1.7× 61 0.8× 22 2.0k

Countries citing papers authored by Yoav Arava

Since Specialization
Citations

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

Fields of papers citing papers by Yoav Arava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoav Arava

This figure shows the co-authorship network connecting the top 25 collaborators of Yoav Arava. A scholar is included among the top collaborators of Yoav Arava 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 Yoav Arava. Yoav Arava 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
2.
Arava, Yoav, et al.. (2023). Emerging implications for ribosomes in proximity to mitochondria. Seminars in Cell and Developmental Biology. 154(Pt B). 123–130. 6 indexed citations
3.
Altman, Topaz, et al.. (2022). Co-transport of the nuclear-encoded Cox7c mRNA with mitochondria along axons occurs through a coding-region-dependent mechanism. Journal of Cell Science. 135(16). 20 indexed citations
4.
Arava, Yoav, et al.. (2020). Expanding the CRISPR/Cas9 Toolbox for Gene Engineering in S. cerevisiae. Current Microbiology. 77(3). 468–478. 16 indexed citations
5.
Waithe, Dominic, Yang Lu, Ita Costello, et al.. (2020). CytoCensus, mapping cell identity and division in tissues and organs using machine learning. eLife. 9. 15 indexed citations
6.
Arava, Yoav, et al.. (2019). Characterization of Factors Involved in Localized Translation Near Mitochondria by Ribosome-Proximity Labeling. Frontiers in Cell and Developmental Biology. 7. 305–305. 39 indexed citations
7.
Yelin, Idan, et al.. (2017). Identification and characterization of roles for Puf1 and Puf2 proteins in the yeast response to high calcium. Scientific Reports. 7(1). 3037–3037. 14 indexed citations
8.
Arava, Yoav, et al.. (2016). Localization of nuclear-encoded mRNAs to mitochondria outer surface. Biochemistry (Moscow). 81(10). 1038–1043. 14 indexed citations
9.
Lesnik, Chen, et al.. (2015). Localized translation near the mitochondrial outer membrane: An update. RNA Biology. 12(8). 801–809. 91 indexed citations
10.
Atir-Lande, Avigail, et al.. (2015). The elongation factor eEF3 (Yef3) interacts with mRNA in a translation independent manner. BMC Molecular Biology. 16(1). 17–17. 7 indexed citations
11.
Lesnik, Chen & Yoav Arava. (2014). Isolation of mRNAs Associated with Yeast Mitochondria to Study Mechanisms of Localized Translation. Journal of Visualized Experiments. 5 indexed citations
12.
Melamed, Daniel R., et al.. (2011). Genome-Wide Analysis of RNA Extracted from Isolated Mitochondria. Methods in molecular biology. 714. 287–299. 8 indexed citations
13.
Yosefzon, Yahav, et al.. (2008). Identification and characterization of extensive intra-molecular associations between 3'-UTRs and their ORFs. Nucleic Acids Research. 36(21). 6728–6738. 13 indexed citations
14.
Pnueli, Lilach, et al.. (2008). The 3′-UTR mediates the cellular localization of an mRNA encoding a short plasma membrane protein. RNA. 14(7). 1352–1365. 40 indexed citations
15.
Pnueli, Lilach & Yoav Arava. (2007). Genome-wide polysomal analysis of a yeast strain with mutated ribosomal protein S9. BMC Genomics. 8(1). 285–285. 14 indexed citations
16.
Sapra, Aparna K., Yoav Arava, Piyush Khandelia, & Usha Vijayraghavan. (2004). Genome-wide Analysis of Pre-mRNA Splicing. Journal of Biological Chemistry. 279(50). 52437–52446. 24 indexed citations
17.
Arava, Yoav, Yulei Wang, John D. Storey, et al.. (2003). Genome-wide analysis of mRNA translation profiles in Saccharomyces cerevisiae. Proceedings of the National Academy of Sciences. 100(7). 3889–3894. 535 indexed citations breakdown →
18.
Arava, Yoav, Rony Seger, & Michael Walker. (1999). GRFβ, a Novel Regulator of Calcium Signaling, Is Expressed in Pancreatic Beta Cells and Brain. Journal of Biological Chemistry. 274(35). 24449–24452. 17 indexed citations
19.
Arava, Yoav, et al.. (1998). Differential expression of the protein kinase A regulatory subunit (RIα) in pancreatic endocrine cells. FEBS Letters. 425(1). 24–28. 7 indexed citations
20.
Argenton, Francesco, Yoav Arava, Ami Aronheim, & Michael Walker. (1996). An Activation Domain of the Helix-Loop-Helix Transcription Factor E2A Shows Cell Type Preference In Vivo in Microinjected Zebra Fish Embryos. Molecular and Cellular Biology. 16(4). 1714–1721. 23 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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