Merav Hecht

2.9k total citations · 1 hit paper
16 papers, 1.7k citations indexed

About

Merav Hecht is a scholar working on Molecular Biology, Surgery and Genetics. According to data from OpenAlex, Merav Hecht has authored 16 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 2 papers in Surgery and 2 papers in Genetics. Recurrent topics in Merav Hecht's work include Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (6 papers) and Cancer-related gene regulation (4 papers). Merav Hecht is often cited by papers focused on Epigenetics and DNA Methylation (9 papers), Genomics and Chromatin Dynamics (6 papers) and Cancer-related gene regulation (4 papers). Merav Hecht collaborates with scholars based in Israel, United States and France. Merav Hecht's co-authors include Howard Cedar, Ilana Keshet, Itamar Simon, S. Farkash, Yehudit Bergman, Ravid Straussman, Benjamin Reubinoff, Etti Ben-Shushan, Joseph Zimmerman and Eran Eden and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Genetics.

In The Last Decade

Merav Hecht

16 papers receiving 1.6k citations

Hit Papers

align trajectories

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.

Polycomb-mediated methylation on Lys27 of histone H3 pre-marks genes for de novo methylation in cancer

2006 872 citations Ravid Straussman, Ilana Keshet et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Merav Hecht Israel	11	1.5k	304	231	113	84	16	1.7k
Phillippa C. Taberlay Australia	17	1.4k 0.9×	222 0.7×	293 1.3×	129 1.1×	59 0.7×	27	1.6k
Charlie Degui Chen China	18	1.3k 0.8×	185 0.6×	180 0.8×	90 0.8×	131 1.6×	31	1.5k
Michael Schertzer Canada	15	994 0.6×	320 1.1×	88 0.4×	86 0.8×	74 0.9×	25	1.3k
Annalisa Di Ruscio Italy	19	1.1k 0.7×	102 0.3×	307 1.3×	167 1.5×	112 1.3×	36	1.5k
Tatsuya Ohhata Japan	19	1.0k 0.7×	297 1.0×	559 2.4×	101 0.9×	47 0.6×	40	1.2k
N. Alice Yamada United States	14	920 0.6×	652 2.1×	267 1.2×	94 0.8×	32 0.4×	18	1.3k
Christopher R. Futtner United States	12	695 0.5×	232 0.8×	164 0.7×	200 1.8×	49 0.6×	16	983
Ngan Ching Cheng Australia	13	681 0.4×	186 0.6×	236 1.0×	109 1.0×	43 0.5×	20	899
Bingnan Gu United States	17	1.2k 0.8×	214 0.7×	242 1.0×	295 2.6×	82 1.0×	24	1.4k
Hiroki Ura Japan	12	849 0.6×	160 0.5×	123 0.5×	86 0.8×	55 0.7×	40	989

Countries citing papers authored by Merav Hecht

Since Specialization

Citations

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

Fields of papers citing papers by Merav Hecht

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Merav Hecht

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

All Works

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16 of 16 papers shown

Fox-Fisher, Ilana, Sheina Piyanzin, Daniel Neiman, et al.. (2025). Circulating eosinophil cell-free DNA as a noninvasive biomarker for perforated appendicitis in pediatric patients-a proof-of-concept study. Scientific Reports. 15(1). 13980–13980. 1 indexed citations

Brim, C. A., Ofra Maimon, Karine Atlan, et al.. (2024). Enhancer landscape of lung neuroendocrine tumors reveals regulatory and developmental signatures with potential theranostic implications. Proceedings of the National Academy of Sciences. 121(41). e2405001121–e2405001121. 2 indexed citations

Gershon, A. A., Gillian Kay, Merav Hecht, et al.. (2024). DNMT3B splicing dysregulation mediated by SMCHD1 loss contributes to DUX4 overexpression and FSHD pathogenesis. Science Advances. 10(22). eadn7732–eadn7732. 3 indexed citations

Hecht, Merav, et al.. (2022). Simultaneous Mapping of Enhancers and Enhancer Rearrangements with Paired-End H3K27ac ChIP-seq. Methods in molecular biology. 2535. 131–140. 3 indexed citations

Stein, Natan, Orit Berhani, Dominik Schmiedel, et al.. (2019). IFNG-AS1 Enhances Interferon Gamma Production in Human Natural Killer Cells. iScience. 11. 466–473. 47 indexed citations

Farago, Marganit, Merav Hecht, Reba Condiotti, et al.. (2017). Programming asynchronous replication in stem cells. Nature Structural & Molecular Biology. 24(12). 1132–1138. 6 indexed citations

Neiman, Daniel, Joshua Moss, Merav Hecht, et al.. (2017). Islet cells share promoter hypomethylation independently of expression, but exhibit cell-type–specific methylation in enhancers. Proceedings of the National Academy of Sciences. 114(51). 13525–13530. 35 indexed citations

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

Reizel, Yitzhak, Adam Spiro, Ofra Sabag, et al.. (2015). Gender-specific postnatal demethylation and establishment of epigenetic memory. Genes & Development. 29(9). 923–933. 72 indexed citations

10.

Nejman, Deborah, Merav Hecht, Shari Orlanski, et al.. (2014). Aberrant DNA Methylation in ES Cells. PLoS ONE. 9(5). e96090–e96090. 12 indexed citations

11.

Sabag, Ofra, Ilana Keshet, Merav Hecht, et al.. (2013). Establishment of methylation patterns in ES cells. Nature Structural & Molecular Biology. 21(1). 110–112. 30 indexed citations

12.

Michaelson‐Cohen, Rachel, Ilana Keshet, Ravid Straussman, et al.. (2011). Genome-Wide De Novo Methylation in Epithelial Ovarian Cancer. International Journal of Gynecological Cancer. 21(2). 269–279. 13 indexed citations

13.

Goren, Alon, Amalia Tabib, Merav Hecht, & Howard Cedar. (2008). DNA replication timing of the human β-globin domain is controlled by histone modification at the origin. Genes & Development. 22(10). 1319–1324. 105 indexed citations

14.

Lande‐Diner, Laura, Jianmin Zhang, Ittai Ben‐Porath, et al.. (2007). Role of DNA Methylation in Stable Gene Repression. Journal of Biological Chemistry. 282(16). 12194–12200. 119 indexed citations

15.

Keshet, Ilana, S. Farkash, Merav Hecht, et al.. (2006). Evidence for an instructive mechanism of de novo methylation in cancer cells. Nature Genetics. 38(2). 149–153. 343 indexed citations

16.

Straussman, Ravid, Ilana Keshet, S. Farkash, et al.. (2006). Polycomb-mediated methylation on Lys27 of histone H3 pre-marks genes for de novo methylation in cancer. Nature Genetics. 39(2). 232–236. 872 indexed citations breakdown →

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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