Ran Brosh

5.1k citations
45 papers · 3.7k indexed · 2 hit papers · h-index 29
  • Oncology top 2%
    • Cancer-related Molecular Pathways 13
    • CRISPR and Genetic Engineering 12
    • Genomics and Chromatin Dynamics 11
    • Epigenetics and DNA Methylation 9
    • RNA Research and Splicing 7
    • Cancer-related gene regulation 6
    • Pluripotent Stem Cells Research 5
    • RNA Interference and Gene Delivery 5
  • Aging top 10%

Ran Brosh

43 papers receiving 3.6k citations

Hit Papers

Mutations in the p53 Tumor Suppressor Gene: Important Mil...7572009202620142020250500750

Peers

Ran Brosh
Comparison fields: 5 of 121
  • Cancer Research 968
  • Oncology 1.5k
  • Molecular Biology 2.6k
  • Biotechnology 250
  • Aging 27
Replace Shan Zhong with:
Shan Zhong China
Dimitris Athineos United Kingdom
Gareth L. Bond United Kingdom
Giovanna Chiorino Italy
Nelofer Syed United Kingdom
Nickolai A. Barlev Russia
Natalia Issaeva United States
Chizu Tanikawa Japan
Tarek Abbas United States
Alberto Inga Italy
Ran Brosh relative to Shan Zhong China Shan Zhong's profile →
Citations per field
00.5×1.5×2.4×
Shan Zhong · 1×
Citations per year

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

The 25 scholars most cited alongside Ran Brosh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ran Brosh Line = papers co-authored together Ran Brosh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202410
2 20238
3 202323
4 202328
5 202226
6 20228
7 20220
8 202126
9 202131
10 201630
11 201258
12 201064
13 201036
14 200923
15
When mutants gain new powers: news from the mutant p53 fieldbreakdown →
2009882
16 200971
17 200749
18 200761
19 200631
20 2004119

About Ran Brosh

Ran Brosh is a scholar working on Molecular Biology, Oncology, Aging, Biotechnology and Cancer Research, having authored 45 papers that have together received 3.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (13 papers), CRISPR and Genetic Engineering (12 papers), Genomics and Chromatin Dynamics (11 papers), Epigenetics and DNA Methylation (9 papers), RNA Research and Splicing (7 papers), Cancer-related gene regulation (6 papers), Pluripotent Stem Cells Research (5 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Cancer Research (968 citations), Oncology (1.5k citations), Molecular Biology (2.6k citations), Biotechnology (250 citations) and Aging (27 citations). Ran Brosh has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Varda Rotter, Noa Rivlin, Moshe Oren, Naomi Goldfinger, Alina Molchadsky, Shalom Madar, Yosef Buganim, Rachel Sarig, Hilla Solomon and Ido Goldstein. Their work appears in journals such as Carcinogenesis, PLoS ONE, Nature Communications, Nature and Cancer Research.

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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