Ofra Yanuka

5.6k total citations · 2 hit papers
34 papers, 4.2k citations indexed

About

Ofra Yanuka is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Ofra Yanuka has authored 34 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 14 papers in Genetics and 3 papers in Surgery. Recurrent topics in Ofra Yanuka's work include Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (13 papers) and Epigenetics and DNA Methylation (10 papers). Ofra Yanuka is often cited by papers focused on Pluripotent Stem Cells Research (18 papers), CRISPR and Genetic Engineering (13 papers) and Epigenetics and DNA Methylation (10 papers). Ofra Yanuka collaborates with scholars based in Israel, United States and Switzerland. Ofra Yanuka's co-authors include Nissim Benvenisty, Maya Schuldiner, Joseph Itskovitz‐Eldor, Amir Eden, Douglas A. Melton, Rachel Eiges, Michal Amit, Hermona Soreq, Neta Lavon and Tamar Golan‐Lev and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Ofra Yanuka

31 papers receiving 4.1k citations

Hit Papers

Differentiation of Human Embryonic Stem Cells into Embryo... 2000 2026 2008 2017 2000 2000 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ofra Yanuka Israel 22 3.6k 1.0k 847 727 405 34 4.2k
Kenji Osafune Japan 29 4.6k 1.3× 1.6k 1.5× 930 1.1× 677 0.9× 307 0.8× 81 5.7k
Takashi Aoi Japan 18 4.9k 1.3× 1.0k 1.0× 729 0.9× 463 0.6× 400 1.0× 48 5.5k
Kaomei Guan Germany 39 3.9k 1.1× 1.2k 1.1× 701 0.8× 498 0.7× 445 1.1× 91 5.2k
Takumi Era Japan 35 3.0k 0.8× 829 0.8× 330 0.4× 482 0.7× 591 1.5× 91 4.4k
Ren‐He Xu United States 28 3.3k 0.9× 875 0.8× 717 0.8× 362 0.5× 777 1.9× 60 4.2k
Boris Greber Germany 37 4.2k 1.1× 812 0.8× 806 1.0× 450 0.6× 268 0.7× 78 5.0k
Paul J. Tesar United States 32 5.3k 1.5× 626 0.6× 577 0.7× 668 0.9× 385 1.0× 65 6.2k
Holm Zaehres Germany 31 4.3k 1.2× 731 0.7× 655 0.8× 429 0.6× 418 1.0× 62 5.2k
Noemi Fusaki Japan 24 3.2k 0.9× 484 0.5× 436 0.5× 469 0.6× 270 0.7× 39 4.0k
Knut Woltjen Japan 32 5.3k 1.5× 821 0.8× 692 0.8× 915 1.3× 303 0.7× 69 6.1k

Countries citing papers authored by Ofra Yanuka

Since Specialization
Citations

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

Fields of papers citing papers by Ofra Yanuka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ofra Yanuka

This figure shows the co-authorship network connecting the top 25 collaborators of Ofra Yanuka. A scholar is included among the top collaborators of Ofra Yanuka 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 Ofra Yanuka. Ofra Yanuka 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.
Nissenbaum, J., et al.. (2025). Genome‐Wide Screening in Haploid Stem Cells Reveals Synthetic Lethality Targeting MLH1 and TP53 Deficient Tumours. Cell Proliferation. 58(11). e13788–e13788.
2.
Nissenbaum, J., Tamar Golan‐Lev, Benjamin Reubinoff, et al.. (2024). Predicting tumour resistance to paclitaxel and carboplatin utilising genome‐wide screening in haploid human embryonic stem cells. Cell Proliferation. 58(3). e13771–e13771. 1 indexed citations
3.
Golan‐Lev, Tamar, Ofra Yanuka, Oren Ram, et al.. (2024). Genome-wide screening reveals essential roles for HOX genes and imprinted genes during caudal neurogenesis of human embryonic stem cells. Stem Cell Reports. 19(11). 1598–1619.
4.
Vershkov, Dan, Atilgan Yilmaz, Ofra Yanuka, Anders Lade Nielsen, & Nissim Benvenisty. (2022). Genome-wide screening for genes involved in the epigenetic basis of fragile X syndrome. Stem Cell Reports. 17(5). 1048–1058. 7 indexed citations
5.
Bar, Shiran, Dan Vershkov, Atilgan Yilmaz, et al.. (2021). Identifying regulators of parental imprinting by CRISPR/Cas9 screening in haploid human embryonic stem cells. Nature Communications. 12(1). 6718–6718. 13 indexed citations
6.
Sagi, Ido, Michael V. Zuccaro, Tamar Golan‐Lev, et al.. (2019). Distinct Imprinting Signatures and Biased Differentiation of Human Androgenetic and Parthenogenetic Embryonic Stem Cells. Cell stem cell. 25(3). 419–432.e9. 26 indexed citations
7.
Weissbein, Uri, et al.. (2019). Genome-wide Screen for Culture Adaptation and Tumorigenicity-Related Genes in Human Pluripotent Stem Cells. iScience. 11. 398–408. 7 indexed citations
8.
Hecht, Merav, Amalia Tabib, Tamar Kahan, et al.. (2017). Epigenetic mechanism of FMR1 inactivation in Fragile X syndrome. The International Journal of Developmental Biology. 61(3-4-5). 285–292. 13 indexed citations
9.
Sagi, Ido, Gloryn Chia, Tamar Golan‐Lev, et al.. (2016). Derivation and differentiation of haploid human embryonic stem cells. Nature. 532(7597). 107–111. 117 indexed citations
10.
Halevy, Tomer, et al.. (2016). Molecular Characterization of Down Syndrome Embryonic Stem Cells Reveals a Role for RUNX1 in Neural Differentiation. Stem Cell Reports. 7(4). 777–786. 25 indexed citations
11.
Park, Chul‐Yong, Tomer Halevy, Dongjin R. Lee, et al.. (2015). Reversion of FMR1 Methylation and Silencing by Editing the Triplet Repeats in Fragile X iPSC-Derived Neurons. Cell Reports. 13(2). 234–241. 133 indexed citations
12.
Nejman, Deborah, Merav Hecht, Shari Orlanski, et al.. (2014). Aberrant DNA Methylation in ES Cells. PLoS ONE. 9(5). e96090–e96090. 12 indexed citations
13.
Stelzer, Yonatan, Ido Sagi, Ofra Yanuka, Rachel Eiges, & Nissim Benvenisty. (2014). The noncoding RNA IPW regulates the imprinted DLK1-DIO3 locus in an induced pluripotent stem cell model of Prader-Willi syndrome. Nature Genetics. 46(6). 551–557. 124 indexed citations
14.
Ben‐David, Uri, Tamar Golan‐Lev, Payal Arora, et al.. (2013). Selective Elimination of Human Pluripotent Stem Cells by an Oleate Synthesis Inhibitor Discovered in a High-Throughput Screen. Cell stem cell. 12(2). 167–179. 250 indexed citations
16.
Dvash, Tamar, Yoav Mayshar, Henia Darr, et al.. (2004). Temporal gene expression during differentiation of human embryonic stem cells and embryoid bodies. Human Reproduction. 19(12). 2875–2883. 107 indexed citations
17.
Lavon, Neta, Ofra Yanuka, & Nissim Benvenisty. (2004). Differentiation and isolation of hepatic-like cells from human embryonic stem cells. Differentiation. 72(5). 230–238. 186 indexed citations
18.
Schuldiner, Maya, Rachel Eiges, Amir Eden, et al.. (2001). Induced neuronal differentiation of human embryonic stem cells. Brain Research. 913(2). 201–205. 306 indexed citations
19.
Eiges, Rachel, Maya Schuldiner, Micha Drukker, et al.. (2001). Establishment of human embryonic stem cell-transfected clones carrying a marker for undifferentiated cells. Current Biology. 11(7). 514–518. 274 indexed citations
20.
Ben‐Porath, Ittai, Ofra Yanuka, & Nissim Benvenisty. (1999). The Tmp Gene, Encoding a Membrane Protein, Is a c-Myc Target with a Tumorigenic Activity. Molecular and Cellular Biology. 19(5). 3529–3539. 35 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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