Yaron Galanty

5.0k citations
27 papers · 3.1k indexed · 2 hit papers · h-index 20

Yaron Galanty

27 papers receiving 3.1k citations

Hit Papers

Predicting the mutations generate...3482006202620122019100200300400500

Peers

Yaron Galanty
Comparison fields: 5 of 95
  • Molecular Biology 2.9k
  • Oncology 1.0k
  • Aging 57
  • Cancer Research 353
  • Business and International Management 35
Replace Shinichiro Nakada with:
Shinichiro Nakada Japan
Pascale Bertrand France
J. Ross Chapman United Kingdom
Michal Zimmermann United States
Lumír Krejčí Czechia
Stephanie Panier Canada
Dana Branzei Italy
Yunmei Ma United States
Magda Bienko Sweden
Petr Ćejka Switzerland
Yaron Galanty relative to Shinichiro Nakada Japan Shinichiro Nakada's profile →
Citations per field
00.5×1.5×1.8×
Shinichiro Nakada · 1×
Citations per year

Countries citing papers authored by Yaron Galanty

Since Specialization
Citations

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

Fields of papers citing papers by Yaron Galanty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yaron Galanty, 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 Yaron Galanty Line = papers co-authored together Yaron Galanty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202135
2 202020
3
Predicting the mutations generated by repair of Cas9-induced double-strand breaksbreakdown →
2018348
4 2015104
5 201541
6 201553
7 201533
8 201560
9 201590
10 2014114
11 2012263
12 2010283
13 2009339
14 2009431
15
Chromatin relaxation in response to DNA double-strand breaks is modulated by a novel ATM- and KAP-1 dependent pathwaybreakdown →
2006579
16 200222
17 199913
18 199830
19 19981
20 1998194

About Yaron Galanty

Yaron Galanty is a scholar working on Aging, Oncology and Molecular Biology, having authored 27 papers that have together received 3.1k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (22 papers), Ubiquitin and proteasome pathways (11 papers), Cancer-related Molecular Pathways (10 papers), PARP inhibition in cancer therapy (4 papers), Carcinogens and Genotoxicity Assessment (3 papers), Microtubule and mitosis dynamics (3 papers), CRISPR and Genetic Engineering (2 papers) and Mitochondrial Function and Pathology (2 papers). The work is most often cited by research in Molecular Biology (2.9k citations), Oncology (1.0k citations) and Aging (57 citations). Yaron Galanty has collaborated with scholars based in United Kingdom, Israel and United States. Frequent co-authors include Stephen P. Jackson, Julia Coates, Rimma Belotserkovskaya, Sophie E. Polo, Yosef Shiloh, Kyle M. Miller, Yael Ziv, D. Schultz, Dana Bielopolski and Simon Bekker‐Jensen. Their work appears in journals such as Nature, Nucleic Acids Research and Journal of Biological Chemistry.

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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