Rachel Eiges

2.4k total citations
33 papers, 1.7k citations indexed

About

Rachel Eiges is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Rachel Eiges has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 16 papers in Genetics and 7 papers in Cellular and Molecular Neuroscience. Recurrent topics in Rachel Eiges's work include Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (12 papers) and Genetics and Neurodevelopmental Disorders (11 papers). Rachel Eiges is often cited by papers focused on Pluripotent Stem Cells Research (12 papers), CRISPR and Genetic Engineering (12 papers) and Genetics and Neurodevelopmental Disorders (11 papers). Rachel Eiges collaborates with scholars based in Israel, France and United States. Rachel Eiges's co-authors include Nissim Benvenisty, Ofra Yanuka, Amir Eden, Maya Schuldiner, Joseph Itskovitz‐Eldor, François Gaudet, Rudolf Jaenisch, Georgette Howard, Micha Drukker and Ronald S. Goldstein and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Rachel Eiges

32 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rachel Eiges Israel 17 1.4k 496 203 193 190 33 1.7k
Ori Bar‐Nur Switzerland 15 2.2k 1.5× 366 0.7× 335 1.7× 136 0.7× 370 1.9× 33 2.4k
Kehkooi Kee China 23 2.0k 1.4× 515 1.0× 127 0.6× 253 1.3× 154 0.8× 45 2.5k
James Byrne United States 21 1.7k 1.2× 310 0.6× 170 0.8× 293 1.5× 216 1.1× 38 2.1k
Daniel Fuentes United States 7 1.6k 1.1× 196 0.4× 160 0.8× 381 2.0× 151 0.8× 7 1.8k
Michaela Patterson United States 18 1.4k 1.0× 231 0.5× 96 0.5× 182 0.9× 285 1.5× 34 1.8k
Mingyan Lin United States 23 1.6k 1.1× 374 0.8× 49 0.2× 121 0.6× 70 0.4× 38 2.1k
Abed AlFatah Mansour United States 10 1.1k 0.8× 166 0.3× 388 1.9× 312 1.6× 112 0.6× 12 1.6k
Kun‐Yong Kim United States 15 812 0.6× 247 0.5× 178 0.9× 171 0.9× 78 0.4× 20 1.0k
Sanna Vuoristo Finland 11 1.2k 0.8× 197 0.4× 217 1.1× 62 0.3× 177 0.9× 20 1.4k
Karolina Lundin Finland 16 1.2k 0.8× 302 0.6× 174 0.9× 98 0.5× 394 2.1× 29 1.5k

Countries citing papers authored by Rachel Eiges

Since Specialization
Citations

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

Fields of papers citing papers by Rachel Eiges

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Eiges

This figure shows the co-authorship network connecting the top 25 collaborators of Rachel Eiges. A scholar is included among the top collaborators of Rachel Eiges 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 Rachel Eiges. Rachel Eiges 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.
Buganim, Yosef, Yotam Drier, Vincent Mouly, et al.. (2024). Differentiation shifts from a reversible to an irreversible heterochromatin state at the DM1 locus. Nature Communications. 15(1). 3270–3270. 4 indexed citations
2.
Gotkine, Marc, Martina de Majo, Chun Hao Wong, et al.. (2021). A recessive S174X mutation in Optineurin causes amyotrophic lateral sclerosis through a loss of function via allele-specific nonsense-mediated decay. Neurobiology of Aging. 106. 1–6. 5 indexed citations
3.
Altarescu, Gheona, et al.. (2021). DMPK hypermethylation in sperm cells of myotonic dystrophy type 1 patients. European Journal of Human Genetics. 30(8). 980–983. 5 indexed citations
4.
Epsztejn‐Litman, Silvina & Rachel Eiges. (2019). Monitoring for Epigenetic Modifications at the FMR1 Locus. Methods in molecular biology. 1942. 29–48. 2 indexed citations
5.
Mor‐Shaked, Hagar & Rachel Eiges. (2018). Reevaluation of FMR1 Hypermethylation Timing in Fragile X Syndrome. Frontiers in Molecular Neuroscience. 11. 31–31. 18 indexed citations
6.
Mor‐Shaked, Hagar, et al.. (2018). The G-rich Repeats in FMR1 and C9orf72 Loci Are Hotspots for Local Unpairing of DNA. Genetics. 210(4). 1239–1252. 22 indexed citations
7.
Altarescu, Gheona, Talia Eldar‐Geva, Ming Zhang, et al.. (2016). Marked Differences in C9orf72 Methylation Status and Isoform Expression between C9/ALS Human Embryonic and Induced Pluripotent Stem Cells. Stem Cell Reports. 7(5). 927–940. 16 indexed citations
8.
Altarescu, Gheona, Paul Renbaum, Talia Eldar‐Geva, et al.. (2015). Uncovering the Role of Hypermethylation by CTG Expansion in Myotonic Dystrophy Type 1 Using Mutant Human Embryonic Stem Cells. Stem Cell Reports. 5(2). 221–231. 37 indexed citations
9.
Mor‐Shaked, Hagar, Gheona Altarescu, Paul Renbaum, et al.. (2014). FMR1 Epigenetic Silencing Commonly Occurs in Undifferentiated Fragile X-Affected Embryonic Stem Cells. Stem Cell Reports. 3(5). 699–706. 51 indexed citations
10.
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
11.
Eiges, Rachel. (2014). Genetic Manipulation of Human Embryonic Stem Cells. Methods in molecular biology. 149–172. 1 indexed citations
12.
Ben‐Yosef, Dalit, Ami Amit, Mira Malcov, et al.. (2011). Female Sex Bias in Human Embryonic Stem Cell Lines. Stem Cells and Development. 21(3). 363–372. 21 indexed citations
13.
Sela, Ilan, Rachel Eiges, Véronique Blanchard, et al.. (2011). GNE Is Involved in the Early Development of Skeletal and Cardiac Muscle. PLoS ONE. 6(6). e21389–e21389. 18 indexed citations
14.
Epsztejn‐Litman, Silvina & Rachel Eiges. (2009). Genetic Manipulation of Human Embryonic Stem Cells. Methods in molecular biology. 1307. 387–411. 8 indexed citations
15.
Ben‐Yosef, Dalit, Mira Malcov, & Rachel Eiges. (2007). PGD-derived human embryonic stem cell lines as a powerful tool for the study of human genetic disorders. Molecular and Cellular Endocrinology. 282(1-2). 153–158. 39 indexed citations
16.
Eiges, Rachel. (2006). Genetic Manipulation of Human Embryonic Stem Cells by Transfection. Humana Press eBooks. 331. 221–240. 12 indexed citations
17.
Dvash, Tamar, Dalit Ben‐Yosef, & Rachel Eiges. (2006). Human Embryonic Stem Cells as a Powerful Tool for Studying Human Embryogenesis. Pediatric Research. 60(2). 111–117. 37 indexed citations
18.
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
19.
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
20.
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

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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