Jessica Frankum

4.0k total citations
21 papers, 1.1k citations indexed

About

Jessica Frankum is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Jessica Frankum has authored 21 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 15 papers in Oncology and 4 papers in Genetics. Recurrent topics in Jessica Frankum's work include PARP inhibition in cancer therapy (10 papers), DNA Repair Mechanisms (8 papers) and CRISPR and Genetic Engineering (7 papers). Jessica Frankum is often cited by papers focused on PARP inhibition in cancer therapy (10 papers), DNA Repair Mechanisms (8 papers) and CRISPR and Genetic Engineering (7 papers). Jessica Frankum collaborates with scholars based in United Kingdom, United States and Netherlands. Jessica Frankum's co-authors include Christopher J. Lord, Alan Ashworth, Rachel Brough, Ilirjana Bajrami, Rachael Natrajan, Stephen J. Pettitt, James Campbell, Iwanka Kozarewa, David Sims and Kerry Fenwick and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and Oncogene.

In The Last Decade

Jessica Frankum

20 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jessica Frankum United Kingdom 14 843 697 184 146 125 21 1.1k
Ana M. Mendes‐Pereira United Kingdom 8 737 0.9× 559 0.8× 153 0.8× 151 1.0× 101 0.8× 10 973
Ioannis Assiotis United Kingdom 12 1.0k 1.2× 699 1.0× 244 1.3× 274 1.9× 198 1.6× 14 1.4k
Farah Rehman United Kingdom 12 743 0.9× 734 1.1× 110 0.6× 169 1.2× 142 1.1× 22 1.1k
Sabrina Giavara Italy 4 1.1k 1.3× 826 1.2× 168 0.9× 237 1.6× 95 0.8× 5 1.4k
Eva Schut Netherlands 13 879 1.0× 707 1.0× 228 1.2× 269 1.8× 96 0.8× 15 1.3k
Joshua T. Burgess Australia 14 609 0.7× 455 0.7× 172 0.9× 67 0.5× 134 1.1× 31 933
Ahrum Min South Korea 16 634 0.8× 635 0.9× 123 0.7× 73 0.5× 181 1.4× 36 957
Christian Bowman-Colin United States 11 833 1.0× 541 0.8× 231 1.3× 234 1.6× 80 0.6× 13 1.1k
Swetansu Pattnaik United States 9 662 0.8× 401 0.6× 259 1.4× 124 0.8× 152 1.2× 12 979
Rinske Drost Netherlands 12 1.0k 1.2× 794 1.1× 170 0.9× 394 2.7× 50 0.4× 14 1.2k

Countries citing papers authored by Jessica Frankum

Since Specialization
Citations

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

Fields of papers citing papers by Jessica Frankum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jessica Frankum

This figure shows the co-authorship network connecting the top 25 collaborators of Jessica Frankum. A scholar is included among the top collaborators of Jessica Frankum 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 Jessica Frankum. Jessica Frankum 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.
Pettitt, Stephen J., Nan Shao, Diana Zatreanu, et al.. (2023). A HUWE1 defect causes PARP inhibitor resistance by modulating the BRCA1-∆11q splice variant. Oncogene. 42(36). 2701–2709. 3 indexed citations
2.
Weekes, Daniel, Helen N. Pemberton, Kathryn Davidson, et al.. (2022). Functional screening reveals HORMAD1-driven gene dependencies associated with translesion synthesis and replication stress tolerance. Oncogene. 41(32). 3969–3977. 9 indexed citations
3.
Pettitt, Stephen J., Jessica Frankum, Marco Punta, et al.. (2020). Clinical BRCA1/2 Reversion Analysis Identifies Hotspot Mutations and Predicted Neoantigens Associated with Therapy Resistance. Cancer Discovery. 10(10). 1475–1488. 114 indexed citations
4.
Barazas, Marco, Stefano Annunziato, Stephen J. Pettitt, et al.. (2018). The CST Complex Mediates End Protection at Double-Strand Breaks and Promotes PARP Inhibitor Sensitivity in BRCA1-Deficient Cells. Cell Reports. 23(7). 2107–2118. 102 indexed citations
5.
Dréan, Amy, Chris T. Williamson, Rachel Brough, et al.. (2017). Modeling Therapy Resistance in BRCA1/2 -Mutant Cancers. Molecular Cancer Therapeutics. 16(9). 2022–2034. 58 indexed citations
6.
Jones, Samuel E., Emmy D.G. Fleuren, Jessica Frankum, et al.. (2017). ATR Is a Therapeutic Target in Synovial Sarcoma. Cancer Research. 77(24). 7014–7026. 47 indexed citations
7.
Pettitt, Stephen J., Dragomir B. Krastev, Helen N. Pemberton, et al.. (2017). Genome-wide barcoded transposon screen for cancer drug sensitivity in haploid mouse embryonic stem cells. Scientific Data. 4(1). 170020–170020. 13 indexed citations
8.
Chong, Irene, David Cunningham, James Campbell, et al.. (2014). Druggable Genetic Dependencies for Molecularly Defined Subgroups of Oesophageal Cancer Identified From High-Throughput Functional Profiling. Annals of Oncology. 25. ii11–ii11.
9.
Bajrami, Ilirjana, Stephen J. Pettitt, Rachel Brough, et al.. (2014). 147 An integrated approach for identifying E-cadherin synthetic lethality networks. European Journal of Cancer. 50. 50–50. 1 indexed citations
10.
Wetterskog, Daniel, Alan Mackay, Rachael Natrajan, et al.. (2013). Integrative molecular and functional profiling of ERBB2-amplified breast cancers identifies new genetic dependencies. Oncogene. 33(5). 619–631. 22 indexed citations
11.
Bajrami, Ilirjana, Jessica Frankum, Asha Konde, et al.. (2013). Genome-wide Profiling of Genetic Synthetic Lethality Identifies CDK12 as a Novel Determinant of PARP1/2 Inhibitor Sensitivity. Cancer Research. 74(1). 287–297. 279 indexed citations
12.
13.
Rehman, Farah, Richard Elliott, Rachel Brough, et al.. (2012). Developing rational drug combination strategies for PARP inhibitors.. Journal of Clinical Oncology. 30(15_suppl). 3050–3050. 1 indexed citations
14.
Stratford, Anna L., Kristen M. Reipas, Kaiji Hu, et al.. (2012). Targeting p90 Ribosomal S6 Kinase Eliminates Tumor-Initiating Cells by Inactivating Y-Box Binding Protein-1 in Triple-Negative Breast Cancers. Stem Cells. 30(7). 1338–1348. 64 indexed citations
15.
Daemen, Anneleen, Denise M. Wolf, James E. Korkola, et al.. (2012). Cross-platform pathway-based analysis identifies markers of response to the PARP inhibitor olaparib. Breast Cancer Research and Treatment. 135(2). 505–517. 56 indexed citations
16.
Grigoriadis, Anita, Alan Mackay, Elodie Noël, et al.. (2012). Molecular characterisation of cell line models for triple-negative breast cancers. BMC Genomics. 13(1). 619–619. 60 indexed citations
17.
Bajrami, Ilirjana, Antoinette van Weverwijk, Rachel Brough, et al.. (2012). Synthetic lethality of PARP and NAMPT inhibition in triple‐negative breast cancer cells. EMBO Molecular Medicine. 4(10). 1087–1096. 99 indexed citations
18.
Wilkerson, Paul M, Konstantin J. Dedes, Daniel Wetterskog, et al.. (2011). Functional characterization of EMSY gene amplification in human cancers. The Journal of Pathology. 225(1). 29–42. 30 indexed citations
19.
Brough, Rachel, Jessica Frankum, Sara Costa-Cabral, Christopher J. Lord, & Alan Ashworth. (2011). Searching for synthetic lethality in cancer. Current Opinion in Genetics & Development. 21(1). 34–41. 83 indexed citations
20.
Sims, David, Ana M. Mendes‐Pereira, Jessica Frankum, et al.. (2011). High-throughput RNA interference screening using pooled shRNA libraries and next generation sequencing. Genome biology. 12(10). R104–R104. 87 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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