Jayne E. Curry
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Cancer-related Molecular Pathways
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
-
- Microtubule and mitosis dynamics 3
- Genetics 2
- Myeloproliferative Neoplasms: Diagnosis and Treatment 2
- Co-authors
- John F. Lyons (6 shared papers)Nicola G. Wallis (5 shared papers)Neil T. Thompson (5 shared papers)Tomoko Smyth (5 shared papers)John R. Rogers (1 shared paper)David Lieb (1 shared paper)Sebastian Thrun (1 shared paper)Lynsey Fazal (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (2 papers)The Journal of Gene Medicine (1 paper)British Journal of Haematology (1 paper)Cancer Science (1 paper)Cell Cycle (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Jayne E. Curry
14 papers receiving 1.1k citations
Jayne E. Curry's Hit Papers
Peers
Comparison fields: 5 of 90
- Oncology 360
- Cell Biology 202
- Molecular Biology 676
- Computational Theory and Mathematics 165
- Hematology 73
Countries citing papers authored by Jayne E. Curry
This map shows the geographic impact of Jayne E. Curry'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 Jayne E. Curry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jayne E. Curry more than expected).
Fields of papers citing papers by Jayne E. Curry
This network shows the impact of papers produced by Jayne E. Curry. 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 Jayne E. Curry. The network helps show where Jayne E. Curry may publish in the future.
Co-authors
The 25 scholars most cited alongside Jayne E. Curry, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 295 | |
| 2 | Polθ inhibitors elicit BRCA-gene synthetic lethality and target PARP inhibitor resistance Hit paper breakdown → | 2021 | 277 |
| 3 | 2004 | 164 | |
| 4 | 2011 | 74 | |
| 5 | 2007 | 73 | |
| 6 | 2013 | 55 | |
| 7 | 2012 | 53 | |
| 8 | 2015 | 52 | |
| 9 | 2010 | 46 | |
| 10 | 2009 | 44 | |
| 11 | 2000 | 11 | |
| 12 | 2003 | 7 | |
| 13 | 2007 | 5 | |
| 14 | Characterisation of aurora kinase inhibitors derived from fragment based lead discovery | 2006 | 2 |
About Jayne E. Curry
Jayne E. Curry is a scholar working on Cell Biology, Genetics, Hematology, Oncology and Immunology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (3 papers), Heat shock proteins research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), Chronic Myeloid Leukemia Treatments (2 papers), CRISPR and Genetic Engineering (1 paper), Preterm Birth and Chorioamnionitis (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Oncology (360 citations), Cell Biology (202 citations), Molecular Biology (676 citations), Computational Theory and Mathematics (165 citations) and Hematology (73 citations). Jayne E. Curry has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include John F. Lyons, Nicola G. Wallis, Neil T. Thompson, Tomoko Smyth, John R. Rogers, David Lieb, Sebastian Thrun, Lynsey Fazal, Hayley C. Angove and Matthias Reule. Their work appears in journals such as Journal of Medicinal Chemistry, The Journal of Gene Medicine, British Journal of Haematology, Cancer Science and Cell Cycle.
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.