Ran Brosh

5.1k total citations · 2 hit papers
45 papers, 3.7k citations indexed

About

Ran Brosh is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Ran Brosh has authored 45 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Molecular Biology, 16 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Ran Brosh's work include Cancer-related Molecular Pathways (13 papers), CRISPR and Genetic Engineering (12 papers) and Genomics and Chromatin Dynamics (11 papers). Ran Brosh is often cited by papers focused on Cancer-related Molecular Pathways (13 papers), CRISPR and Genetic Engineering (12 papers) and Genomics and Chromatin Dynamics (11 papers). Ran Brosh collaborates with scholars based in Israel, United States and Austria. Ran Brosh's co-authors include Varda Rotter, Noa Rivlin, Moshe Oren, Naomi Goldfinger, Alina Molchadsky, Shalom Madar, Yosef Buganim, Rachel Sarig, Hilla Solomon and Ido Goldstein and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Ran Brosh

43 papers receiving 3.6k citations

Hit Papers

When mutants gain new powers: news from the mutant p53 field 2009 2026 2014 2020 2009 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ran Brosh Israel 29 2.6k 1.5k 968 336 294 45 3.7k
Shan Zhong China 32 2.6k 1.0× 1.5k 1.0× 698 0.7× 364 1.1× 186 0.6× 107 4.1k
Gareth L. Bond United Kingdom 23 2.6k 1.0× 2.2k 1.4× 825 0.9× 276 0.8× 277 0.9× 41 3.6k
Nelofer Syed United Kingdom 27 2.2k 0.8× 1.2k 0.8× 834 0.9× 195 0.6× 307 1.0× 67 3.5k
Natalia Issaeva United States 25 3.4k 1.3× 2.5k 1.7× 756 0.8× 307 0.9× 274 0.9× 47 4.4k
Nickolai A. Barlev Russia 28 3.4k 1.3× 1.2k 0.8× 605 0.6× 379 1.1× 385 1.3× 71 4.3k
Chizu Tanikawa Japan 28 1.9k 0.7× 1.2k 0.8× 581 0.6× 436 1.3× 254 0.9× 57 3.1k
Francesca Pentimalli Italy 38 2.3k 0.9× 1.1k 0.7× 922 1.0× 429 1.3× 444 1.5× 120 3.8k
Youyong Lu China 35 2.8k 1.1× 1.4k 0.9× 1.5k 1.6× 443 1.3× 418 1.4× 122 4.4k
Julia I-Ju Leu United States 23 2.6k 1.0× 1.6k 1.0× 867 0.9× 497 1.5× 128 0.4× 36 3.8k
Stephano S. Mello Brazil 20 2.0k 0.8× 1.2k 0.8× 856 0.9× 293 0.9× 119 0.4× 38 2.9k

Countries citing papers authored by Ran Brosh

Since Specialization
Citations

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

Fields of papers citing papers by Ran Brosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ran Brosh

This figure shows the co-authorship network connecting the top 25 collaborators of Ran Brosh. A scholar is included among the top collaborators of Ran Brosh 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 Ran Brosh. Ran Brosh 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.
Camellato, Brendan, et al.. (2024). Synthetic reversed sequences reveal default genomic states. Nature. 628(8007). 373–380. 10 indexed citations
2.
Zhao, Yu, et al.. (2023). CREEPY: CRISPR-mediated editing of synthetic episomes in yeast. Nucleic Acids Research. 51(13). e72–e72. 8 indexed citations
3.
Déjosez, Marion, Alessandra Dall’Agnese, Mahesh Ramamoorthy, et al.. (2023). Regulatory architecture of housekeeping genes is driven by promoter assemblies. Cell Reports. 42(5). 112505–112505. 23 indexed citations
4.
Brosh, Ran, André M. Ribeiro-dos-Santos, Megan S. Hogan, et al.. (2023). Synthetic regulatory genomics uncovers enhancer context dependence at the Sox2 locus. Molecular Cell. 83(7). 1140–1152.e7. 28 indexed citations
5.
Pinglay, Sudarshan, Emily Huang, Ran Brosh, et al.. (2022). Synthetic regulatory reconstitution reveals principles of mammalian Hox cluster regulation. Science. 377(6601). eabk2820–eabk2820. 26 indexed citations
6.
Ribeiro-dos-Santos, André M., et al.. (2022). Genomic context sensitivity of insulator function. Genome Research. 32(3). 425–436. 8 indexed citations
7.
Zhang, Weimin, Ran Brosh, Brendan Camellato, et al.. (2022). A conditional counterselectable Piga knockout in mouse embryonic stem cells for advanced genome writing applications. iScience. 25(6). 104438–104438.
8.
Mitchell, Leslie A., Sudarshan Pinglay, Nazario Bosco, et al.. (2021). De novo assembly and delivery to mouse cells of a 101 kb functional human gene. Genetics. 218(1). 26 indexed citations
9.
Brosh, Ran, Jon M. Laurent, Raquel Ordóñez, et al.. (2021). A versatile platform for locus-scale genome rewriting and verification. Proceedings of the National Academy of Sciences. 118(10). 31 indexed citations
10.
Brosh, Ran, et al.. (2016). A dual molecular analogue tuner for dissecting protein function in mammalian cells. Nature Communications. 7(1). 11742–11742. 30 indexed citations
11.
Solomon, Hilla, Yosef Buganim, Tsevi Beatus, et al.. (2012). Various p53 mutant types differently regulate the Ras circuit to induce a cancer-related gene signature. Journal of Cell Science. 125(Pt 13). 3144–52. 58 indexed citations
12.
Buganim, Yosef, Hilla Solomon, Yoach Rais, et al.. (2010). p53 Regulates the Ras Circuit to Inhibit the Expression of a Cancer-Related Gene Signature by Various Molecular Pathways. Cancer Research. 70(6). 2274–2284. 64 indexed citations
13.
Brosh, Ran, Rachel Sarig, Alina Molchadsky, et al.. (2010). p53‐dependent transcriptional regulation of EDA2R and its involvement in chemotherapy‐induced hair loss. FEBS Letters. 584(11). 2473–2477. 36 indexed citations
14.
Brosh, Ran & Varda Rotter. (2009). Transcriptional control of the proliferation cluster by the tumor suppressor p53. Molecular BioSystems. 6(1). 17–29. 23 indexed citations
15.
Brosh, Ran & Varda Rotter. (2009). When mutants gain new powers: news from the mutant p53 field. Nature reviews. Cancer. 9(10). 701–713. 882 indexed citations breakdown →
16.
Kogan-Sakin, Ira, Merav Cohen, Nicole Paland, et al.. (2009). Prostate stromal cells produce CXCL-1, CXCL-2, CXCL-3 and IL-8 in response to epithelia-secreted IL-1. Carcinogenesis. 30(4). 698–705. 71 indexed citations
17.
Tabach, Yuval, Ran Brosh, Anat Reiner‐Benaim, et al.. (2007). Wide-Scale Analysis of Human Functional Transcription Factor Binding Reveals a Strong Bias towards the Transcription Start Site. PLoS ONE. 2(8). e807–e807. 49 indexed citations
18.
Milyavsky, Michael, Igor Shats, Ran Brosh, et al.. (2007). Inactivation of Myocardin and p16 during Malignant Transformation Contributes to a Differentiation Defect. Cancer Cell. 11(2). 133–146. 61 indexed citations
19.
Buganim, Yosef, Eyal Kalo, Ran Brosh, et al.. (2006). Mutant p53 Protects Cells from 12- O -Tetradecanoylphorbol-13-Acetate–Induced Death by Attenuating Activating Transcription Factor 3 Induction. Cancer Research. 66(22). 10750–10759. 31 indexed citations
20.
Shats, Igor, Michael Milyavsky, Xiaohu Tang, et al.. (2004). p53-dependent Down-regulation of Telomerase Is Mediated by p21. Journal of Biological Chemistry. 279(49). 50976–50985. 119 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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