George E. Ronson

590 total citations
8 papers, 430 citations indexed

About

George E. Ronson is a scholar working on Molecular Biology, Oncology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, George E. Ronson has authored 8 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Oncology and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in George E. Ronson's work include DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (4 papers) and PARP inhibition in cancer therapy (4 papers). George E. Ronson is often cited by papers focused on DNA Repair Mechanisms (7 papers), CRISPR and Genetic Engineering (4 papers) and PARP inhibition in cancer therapy (4 papers). George E. Ronson collaborates with scholars based in United Kingdom. George E. Ronson's co-authors include Joanna R. Morris, Martin R. Higgs, Nicholas D. Lakin, Ann Liza Piberger, Eva Petermann, Peter J. McHugh, Anna L Olsen, A.D.J. Scadden, Katarzyna Starowicz and James Beesley and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

George E. Ronson

8 papers receiving 424 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George E. Ronson United Kingdom 6 385 232 44 34 25 8 430
Wei Ting C. Lee United States 7 546 1.4× 206 0.9× 25 0.6× 47 1.4× 41 1.6× 8 596
Tanay Thakar United States 9 355 0.9× 201 0.9× 22 0.5× 45 1.3× 52 2.1× 9 397
Carole Beck Norway 9 321 0.8× 307 1.3× 90 2.0× 19 0.6× 25 1.0× 10 444
Aaron J. Gottschalk United States 4 594 1.5× 290 1.3× 79 1.8× 39 1.1× 39 1.6× 4 683
Larissa A. Sambel United States 6 237 0.6× 156 0.7× 16 0.4× 29 0.9× 26 1.0× 6 275
Ke Cong United States 6 406 1.1× 232 1.0× 22 0.5× 58 1.7× 51 2.0× 10 451
Mihaela Robu Canada 6 300 0.8× 214 0.9× 31 0.7× 26 0.8× 33 1.3× 7 362
Nicholas J. Panzarino United States 2 254 0.7× 162 0.7× 18 0.4× 36 1.1× 24 1.0× 2 282
Connor E. Dunn United States 5 182 0.5× 138 0.6× 14 0.3× 23 0.7× 19 0.8× 5 220
Pei Xin Lim United States 9 347 0.9× 162 0.7× 12 0.3× 80 2.4× 60 2.4× 11 397

Countries citing papers authored by George E. Ronson

Since Specialization
Citations

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

Fields of papers citing papers by George E. Ronson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George E. Ronson. 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 George E. Ronson. The network helps show where George E. Ronson may publish in the future.

Co-authorship network of co-authors of George E. Ronson

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

All Works

8 of 8 papers shown
1.
Garvin, Alexander J., George E. Ronson, Katarzyna Starowicz, et al.. (2025). SUMO4 promotes SUMO deconjugation required for DNA double-strand-break repair. Molecular Cell. 85(5). 877–893.e9. 1 indexed citations
2.
Sharma, Abhishek, Muhammad Khairul Ramlee, Martin R. Higgs, et al.. (2023). C16orf72/HAPSTR1/TAPR1 functions with BRCA1/Senataxin to modulate replication-associated R-loops and confer resistance to PARP disruption. Nature Communications. 14(1). 5003–5003. 5 indexed citations
3.
Ronson, George E., Katarzyna Starowicz, Ann Liza Piberger, et al.. (2023). Mechanisms of synthetic lethality between BRCA1/2 and 53BP1 deficiencies and DNA polymerase theta targeting. Nature Communications. 14(1). 7834–7834. 11 indexed citations
4.
Ronson, George E., et al.. (2020). A fork in the road: Where homologous recombination and stalled replication fork protection part ways. Seminars in Cell and Developmental Biology. 113. 14–26. 49 indexed citations
5.
Garvin, Alexander J., Alexandra K. Walker, Ruth M. Densham, et al.. (2019). The deSUMOylase SENP2 coordinates homologous recombination and nonhomologous end joining by independent mechanisms. Genes & Development. 33(5-6). 333–347. 39 indexed citations
6.
Daza-Martín, Manuel, Katarzyna Starowicz, Mohammed Jamshad, et al.. (2019). Isomerization of BRCA1–BARD1 promotes replication fork protection. Nature. 571(7766). 521–527. 95 indexed citations
7.
Ronson, George E., Ann Liza Piberger, Martin R. Higgs, et al.. (2018). PARP1 and PARP2 stabilise replication forks at base excision repair intermediates through Fbh1-dependent Rad51 regulation. Nature Communications. 9(1). 746–746. 171 indexed citations
8.
Ronson, George E., et al.. (2013). Proteins that contain a functional Z-DNA-binding domain localize to cytoplasmic stress granules. Nucleic Acids Research. 41(21). 9786–9799. 59 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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