Efrat Shema

3.8k total citations · 1 hit paper
32 papers, 2.3k citations indexed

About

Efrat Shema is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Efrat Shema has authored 32 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Efrat Shema's work include Epigenetics and DNA Methylation (14 papers), Genomics and Chromatin Dynamics (11 papers) and Ubiquitin and proteasome pathways (9 papers). Efrat Shema is often cited by papers focused on Epigenetics and DNA Methylation (14 papers), Genomics and Chromatin Dynamics (11 papers) and Ubiquitin and proteasome pathways (9 papers). Efrat Shema collaborates with scholars based in Israel, United States and Czechia. Efrat Shema's co-authors include Moshe Oren, Lorenzo Galluzzi, Sherene Loi, Ilio Vitale, Neri Minsky, B Bernstein, Eran Segal, Yair Field, Jason D. Buenrostro and Itay Tirosh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Efrat Shema

32 papers receiving 2.2k citations

Hit Papers

Intratumoral heterogeneity in cancer progression and resp... 2021 2026 2022 2024 2021 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
Efrat Shema Israel 18 1.8k 499 333 245 151 32 2.3k
Jasper Mullenders Netherlands 17 2.0k 1.1× 651 1.3× 440 1.3× 192 0.8× 204 1.4× 25 2.7k
Keiko Morotomi‐Yano Japan 17 1.2k 0.7× 454 0.9× 216 0.6× 194 0.8× 73 0.5× 28 1.5k
Alessandro Cuomo Italy 24 1.8k 1.0× 350 0.7× 250 0.8× 252 1.0× 113 0.7× 48 2.3k
Caroline Kim-Kiselak United States 11 1.0k 0.6× 363 0.7× 265 0.8× 117 0.5× 195 1.3× 12 1.4k
Rachael E. Hawtin United States 18 1.3k 0.7× 645 1.3× 237 0.7× 320 1.3× 167 1.1× 53 2.0k
Ivan Smirnov United States 23 1.5k 0.8× 231 0.5× 364 1.1× 154 0.6× 153 1.0× 36 2.0k
Eran Hodis United States 11 1.4k 0.8× 573 1.1× 424 1.3× 195 0.8× 162 1.1× 16 2.2k
Marc Damelin United States 17 1.2k 0.7× 738 1.5× 248 0.7× 185 0.8× 68 0.5× 39 1.9k
Julie M. Bailis United States 21 1.5k 0.8× 788 1.6× 273 0.8× 194 0.8× 124 0.8× 55 2.0k
Graham MacLeod Canada 14 1.9k 1.0× 344 0.7× 432 1.3× 115 0.5× 143 0.9× 22 2.4k

Countries citing papers authored by Efrat Shema

Since Specialization
Citations

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

Fields of papers citing papers by Efrat Shema

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Efrat Shema

This figure shows the co-authorship network connecting the top 25 collaborators of Efrat Shema. A scholar is included among the top collaborators of Efrat Shema 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 Efrat Shema. Efrat Shema 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.
Oren, Roni, Bareket Dassa, A.N. Plotnikov, et al.. (2024). Dual targeting of histone deacetylases and MYC as potential treatment strategy for H3-K27M pediatric gliomas. eLife. 13. 3 indexed citations
2.
Furth, Noa, Avishay Spitzer, Tomer‐Meir Salame, et al.. (2024). Oncogenic IDH1 mut drives robust loss of histone acetylation and increases chromatin heterogeneity. Proceedings of the National Academy of Sciences. 122(1). e2403862122–e2403862122. 2 indexed citations
3.
Alcolea, Maria P., Direna Alonso‐Curbelo, Chiara Ambrogio, et al.. (2024). Cancer Hallmarks: Piecing the Puzzle Together. Cancer Discovery. 14(4). 674–682. 7 indexed citations
4.
Oren, Roni, Bareket Dassa, A.N. Plotnikov, et al.. (2024). Dual targeting of histone deacetylases and MYC as potential treatment strategy for H3-K27M pediatric gliomas. eLife. 13. 3 indexed citations
5.
Shema, Efrat. (2023). A single-molecule liquid biopsy for cancer diagnosis. Nature reviews. Cancer. 23(5). 271–271. 2 indexed citations
6.
Furth, Noa, Ekaterina N. Andreishcheva, Daniel Jones, et al.. (2022). Multiplexed, single-molecule, epigenetic analysis of plasma-isolated nucleosomes for cancer diagnostics. Nature Biotechnology. 41(2). 212–221. 56 indexed citations
7.
Nissim‐Rafinia, Malka, Moria Maman, Nofar Harpaz, et al.. (2022). PRC2-independent actions of H3.3K27M in embryonic stem cell differentiation. Nucleic Acids Research. 51(4). 1662–1673. 6 indexed citations
8.
Aylon, Yael, Noa Furth, Giuseppe Mallel, et al.. (2022). Breast cancer plasticity is restricted by a LATS1-NCOR1 repressive axis. Nature Communications. 13(1). 7199–7199. 5 indexed citations
9.
Furth, Noa & Efrat Shema. (2022). It’s all in the combination: decoding the epigenome for cancer research and diagnostics. Current Opinion in Genetics & Development. 73. 101899–101899. 6 indexed citations
10.
Furth, Noa, Bareket Dassa, Lawryn H. Kasper, et al.. (2022). H3-K27M-mutant nucleosomes interact with MLL1 to shape the glioma epigenetic landscape. Cell Reports. 39(7). 110836–110836. 30 indexed citations
11.
Furth, Noa, Adina Weinberger, Amiel A. Dror, et al.. (2021). Unified platform for genetic and serological detection of COVID-19 with single-molecule technology. PLoS ONE. 16(7). e0255096–e0255096. 2 indexed citations
12.
Vitale, Ilio, Efrat Shema, Sherene Loi, & Lorenzo Galluzzi. (2021). Intratumoral heterogeneity in cancer progression and response to immunotherapy. Nature Medicine. 27(2). 212–224. 503 indexed citations breakdown →
13.
Kim, Kyung Lock, Peter van Galen, Volker Hovestadt, et al.. (2021). Systematic detection of m6A-modified transcripts at single-molecule and single-cell resolution. Cell Reports Methods. 1(5). 100061–100061. 10 indexed citations
14.
Shema, Efrat, B Bernstein, & Jason D. Buenrostro. (2018). Single-cell and single-molecule epigenomics to uncover genome regulation at unprecedented resolution. Nature Genetics. 51(1). 19–25. 126 indexed citations
15.
Shema, Efrat, Daniel Jones, Noam Shoresh, et al.. (2016). Single-molecule decoding of combinatorially modified nucleosomes. Science. 352(6286). 717–721. 101 indexed citations
16.
Shema, Efrat, Miroslav Nikolov, Mahmood Haj‐Yahya, et al.. (2013). Systematic Identification of Proteins Binding to Chromatin-Embedded Ubiquitylated H2B Reveals Recruitment of SWI/SNF to Regulate Transcription. Cell Reports. 4(3). 601–608. 75 indexed citations
17.
Shema, Efrat, Jaehoon Kim, Robert G. Roeder, & Moshe Oren. (2011). RNF20 Inhibits TFIIS-Facilitated Transcriptional Elongation to Suppress Pro-oncogenic Gene Expression. Molecular Cell. 42(4). 477–488. 83 indexed citations
18.
Shema, Efrat, Moshe Oren, & Neri Minsky. (2011). Detection and characterization of ubiquitylated H2B in mammalian cells. Methods. 54(3). 326–330. 2 indexed citations
19.
Minsky, Neri, et al.. (2008). Monoubiquitinated H2B is associated with the transcribed region of highly expressed genes in human cells. Nature Cell Biology. 10(4). 483–488. 291 indexed citations
20.
Shema, Efrat, Itay Tirosh, Yael Aylon, et al.. (2008). The histone H2B-specific ubiquitin ligase RNF20/hBRE1 acts as a putative tumor suppressor through selective regulation of gene expression. Genes & Development. 22(19). 2664–2676. 224 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026