Zahava Siegfried

3.6k total citations · 1 hit paper
32 papers, 2.8k citations indexed

About

Zahava Siegfried is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Zahava Siegfried has authored 32 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 6 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Zahava Siegfried's work include RNA Research and Splicing (10 papers), RNA modifications and cancer (8 papers) and RNA and protein synthesis mechanisms (6 papers). Zahava Siegfried is often cited by papers focused on RNA Research and Splicing (10 papers), RNA modifications and cancer (8 papers) and RNA and protein synthesis mechanisms (6 papers). Zahava Siegfried collaborates with scholars based in Israel, United States and Italy. Zahava Siegfried's co-authors include Howard Cedar, Edward B. Ziff, Rotem Karni, Monica Mendelsohn, Itamar Simon, M. E. Greenberg, Richard P. Ebstein, Avraham N. Kluger, Aharon Razin and Dale Frank and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Zahava Siegfried

32 papers receiving 2.8k citations

Hit Papers

Spl elements protect a CpG island from de novo methylation 1994 2026 2004 2015 1994 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Spl elements protect a CpG island from de novo methylation
    1994 600 citations Dale Frank, Zahava Siegfried et al. Nature profile →

Peers

Zahava Siegfried
Amanda Mitchell United States
Michel Guipponi Switzerland
Heather Wood United States
Daniela S. Gerhard United States
Marcel Nelen Netherlands
José Fernández‐Piqueras Spain
Yoichi Gondo Japan
Christopher A. Wassif United States
Martin Begemann Germany
Kimberly F. Doheny United States
Amanda Mitchell United States
Zahava Siegfried
Citations per year, relative to Zahava Siegfried Zahava Siegfried (= 1×) peers Amanda Mitchell

Countries citing papers authored by Zahava Siegfried

Since Specialization
Citations

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

Fields of papers citing papers by Zahava Siegfried

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zahava Siegfried

This figure shows the co-authorship network connecting the top 25 collaborators of Zahava Siegfried. A scholar is included among the top collaborators of Zahava Siegfried 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 Zahava Siegfried. Zahava Siegfried 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.
Lin, Kuan‐Ting, Chani Stossel, Zahava Siegfried, et al.. (2023). RBFOX2 modulates a metastatic signature of alternative splicing in pancreatic cancer. Nature. 617(7959). 147–153. 55 indexed citations
2.
Cohen, Yuval, et al.. (2023). Inhibition of nonsense-mediated mRNA decay may improve stop codon read-through therapy for Duchenne muscular dystrophy. Human Molecular Genetics. 32(15). 2455–2463. 9 indexed citations
3.
Siegfried, Zahava, et al.. (2023). Targeting splicing factors for cancer therapy. RNA. 29(4). 506–515. 17 indexed citations
4.
Cohen, Yuval, Georgina D. Barnabas, Zahava Siegfried, et al.. (2022). S6K1 phosphorylates Cdk1 and MSH6 to regulate DNA repair. eLife. 11. 11 indexed citations
5.
Siegfried, Zahava, et al.. (2021). Splice-switching as cancer therapy. Current Opinion in Pharmacology. 59. 140–148. 14 indexed citations
6.
Siegfried, Zahava, et al.. (2017). The role of RNA alternative splicing in regulating cancer metabolism. Human Genetics. 136(9). 1113–1127. 71 indexed citations
7.
Shilo, Asaf, Zahava Siegfried, & Rotem Karni. (2014). The role of splicing factors in deregulation of alternative splicing during oncogenesis and tumor progression. Molecular & Cellular Oncology. 2(1). e970955–e970955. 34 indexed citations
8.
Siegfried, Zahava, Serena Bonomi, Claudia Ghigna, & Rotem Karni. (2013). Regulation of the Ras-MAPK and PI3K-mTOR Signalling Pathways by Alternative Splicing in Cancer. International Journal of Cell Biology. 2013. 1–9. 39 indexed citations
9.
Stambolsky, Perry, Yuval Tabach, Giulia Fontemaggi, et al.. (2010). Modulation of the Vitamin D3 Response by Cancer-Associated Mutant p53. Cancer Cell. 17(5). 523–523. 7 indexed citations
10.
Klutstein, Michael, Zahava Siegfried, Shlomit Farkash-Amar, et al.. (2010). Combination of genomic approaches with functional genetic experiments reveals two modes of repression of yeast middle-phase meiosis genes. BMC Genomics. 11(1). 478–478. 10 indexed citations
11.
Shaked, Helena, et al.. (2008). Chromatin Immunoprecipitation–on-Chip Reveals Stress-Dependent p53 Occupancy in Primary Normal Cells but Not in Established Cell Lines. Cancer Research. 68(23). 9671–9677. 49 indexed citations
12.
Simon, Itamar, Zahava Siegfried, Jason Ernst, & Ziv Bar‐Joseph. (2005). Combined static and dynamic analysis for determining the quality of time-series expression profiles. Nature Biotechnology. 23(12). 1503–1508. 23 indexed citations
13.
Kluger, Avraham N., Zahava Siegfried, & Richard P. Ebstein. (2002). A meta-analysis of the association between DRD4 polymorphism and novelty seeking. Molecular Psychiatry. 7(7). 712–717. 203 indexed citations
14.
Siegfried, Zahava, et al.. (2001). ABL1 methylation in Ph-positive ALL is exclusively associated with the P210 form of BCR-ABL. Leukemia. 15(4). 575–582. 15 indexed citations
15.
Siegfried, Zahava, Sharon Eden, Monica Mendelsohn, et al.. (1999). DNA methylation represses transcription in vivo. Nature Genetics. 22(2). 203–206. 289 indexed citations
16.
Siegfried, Zahava & Howard Cedar. (1997). DNA methylation: A molecular lock. Current Biology. 7(5). R305–R307. 143 indexed citations
17.
Frank, Dale, Zahava Siegfried, Monica Mendelsohn, et al.. (1994). Spl elements protect a CpG island from de novo methylation. Nature. 371(6496). 435–438. 600 indexed citations breakdown →
18.
Bollag, Roni J., et al.. (1994). An ancient family of embryonically expressed mouse genes sharing a conserved protein motif with the T locus. Nature Genetics. 7(3). 383–389. 192 indexed citations
19.
Ichikawa, S., Masaru Ryoji, Zahava Siegfried, & Akira Kaji. (1989). Localization of the ribosome-releasing factor gene in the Escherichia coli chromosome. Journal of Bacteriology. 171(7). 3689–3695. 11 indexed citations
20.
Metz, Richard P., Joshua Gorham, Zahava Siegfried, et al.. (1988). Gene Regulation by Growth Factors. Cold Spring Harbor Symposia on Quantitative Biology. 53(0). 727–737. 6 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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