Charlotte L. Bevan

5.5k total citations
106 papers, 3.9k citations indexed

About

Charlotte L. Bevan is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Genetics. According to data from OpenAlex, Charlotte L. Bevan has authored 106 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 45 papers in Pulmonary and Respiratory Medicine and 28 papers in Genetics. Recurrent topics in Charlotte L. Bevan's work include Prostate Cancer Treatment and Research (42 papers), Estrogen and related hormone effects (26 papers) and Hormonal and reproductive studies (23 papers). Charlotte L. Bevan is often cited by papers focused on Prostate Cancer Treatment and Research (42 papers), Estrogen and related hormone effects (26 papers) and Hormonal and reproductive studies (23 papers). Charlotte L. Bevan collaborates with scholars based in United Kingdom, United States and Spain. Charlotte L. Bevan's co-authors include Jonathan Waxman, Greg N. Brooke, Malcolm G. Parker, D. Alwyn Dart, Frank Claessens, David M. Heery, Ailsa Sita-Lumsden, Simon C. Gamble, Sue M. Powell and Hector C. Keun and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Charlotte L. Bevan

101 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charlotte L. Bevan United Kingdom 35 2.3k 1.0k 876 856 593 106 3.9k
Shigeo Horie Japan 43 3.0k 1.3× 1.6k 1.6× 1.8k 2.1× 403 0.5× 879 1.5× 388 7.1k
Jonathan Waxman United Kingdom 47 3.3k 1.4× 1.5k 1.4× 679 0.8× 1.3k 1.5× 485 0.8× 178 6.5k
Mitch A. Phelps United States 38 3.0k 1.3× 722 0.7× 311 0.4× 967 1.1× 194 0.3× 199 6.9k
Manfred Infanger Germany 47 1.3k 0.6× 694 0.7× 538 0.6× 558 0.7× 324 0.5× 164 5.8k
J. Clay Goodman United States 41 1.9k 0.8× 531 0.5× 752 0.9× 440 0.5× 201 0.3× 141 6.0k
Brian T. Helfand United States 37 1.6k 0.7× 1.6k 1.5× 433 0.5× 383 0.4× 249 0.4× 222 5.0k
Hong‐Jeng Yu Taiwan 41 3.3k 1.4× 1.6k 1.5× 241 0.3× 849 1.0× 496 0.8× 240 7.2k
Martin Krššák Austria 42 2.7k 1.2× 738 0.7× 224 0.3× 268 0.3× 1.2k 2.0× 162 7.7k
Anna Lokshin United States 48 2.3k 1.0× 970 0.9× 325 0.4× 1.1k 1.3× 158 0.3× 137 6.7k
Jonathan L. Hecht United States 48 1.9k 0.9× 1.3k 1.3× 665 0.8× 754 0.9× 98 0.2× 177 7.8k

Countries citing papers authored by Charlotte L. Bevan

Since Specialization
Citations

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

Fields of papers citing papers by Charlotte L. Bevan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlotte L. Bevan. 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 Charlotte L. Bevan. The network helps show where Charlotte L. Bevan may publish in the future.

Co-authorship network of co-authors of Charlotte L. Bevan

This figure shows the co-authorship network connecting the top 25 collaborators of Charlotte L. Bevan. A scholar is included among the top collaborators of Charlotte L. Bevan 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 Charlotte L. Bevan. Charlotte L. Bevan 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.
Lai, Chun‐Fui, Charlotte L. Bevan, R. Charles Coombes, et al.. (2025). Resistance to CDK7 inhibitors directed by acquired mutation of a conserved residue in cancer cells. The EMBO Journal. 44(20). 5860–5889.
2.
Kalofonou, Melpomeni, Sue M. Powell, Rayzel C. Fernandes, et al.. (2025). Handheld ISFET Lab-on-Chip detection of YAP1 nucleic acid and AR-FL and AR-V7 mRNA from liquid biopsies for prostate cancer prognosis. Biosensors and Bioelectronics. 281. 117407–117407.
3.
4.
Kalofonou, Melpomeni, et al.. (2023). Classification of nucleic acid amplification on ISFET arrays using spectrogram-based neural networks. Computers in Biology and Medicine. 161. 107027–107027. 4 indexed citations
5.
Kalofonou, Melpomeni, et al.. (2023). Handheld ISFET Lab-on-Chip Detection of TMPRSS2-ERG and AR mRNA for Prostate Cancer Prognostics. IEEE Sensors Letters. 7(8). 1–4. 6 indexed citations
6.
7.
Kalofonou, Melpomeni, Sue M. Powell, Rayzel C. Fernandes, et al.. (2022). Detection of YAP1 and AR-V7 mRNA for Prostate Cancer Prognosis Using an ISFET Lab-On-Chip Platform. ACS Sensors. 7(11). 3389–3398. 15 indexed citations
8.
Redshaw, Maggie, Jane Henderson, & Charlotte L. Bevan. (2021). ‘This is time we’ll never get back’: a qualitative study of mothers’ experiences of care associated with neonatal death. BMJ Open. 11(9). e050832–e050832. 8 indexed citations
9.
Burden, Christy, Danya Bakhbakhi, Alexander Heazell, et al.. (2021). Parents’ Active Role and ENgagement in The review of their Stillbirth/perinatal death 2 (PARENTS 2) study: a mixed-methods study of implementation. BMJ Open. 11(3). e044563–e044563. 8 indexed citations
10.
Smith, Lucy, et al.. (2020). Parents’ experiences of care following the loss of a baby at the margins between miscarriage, stillbirth and neonatal death: a UK qualitative study. BJOG An International Journal of Obstetrics & Gynaecology. 127(7). 868–874. 41 indexed citations
11.
Gethings, Lee A., Keith Richardson, Jason Wildgoose, et al.. (2017). Lipid profiling of complex biological mixtures by liquid chromatography/mass spectrometry using a novel scanning quadrupole data‐independent acquisition strategy. Rapid Communications in Mass Spectrometry. 31(19). 1599–1606. 17 indexed citations
12.
Leach, Damien A., Vasilios Panagopoulos, Claire Nash, et al.. (2016). Cell-lineage specificity and role of AP-1 in the prostate fibroblast androgen receptor cistrome. Molecular and Cellular Endocrinology. 439. 261–272. 22 indexed citations
13.
Sita-Lumsden, Ailsa, et al.. (2014). Revising the role of the androgen receptor in breast cancer. Journal of Molecular Endocrinology. 52(3). R257–R265. 66 indexed citations
14.
Lavery, Derek N., et al.. (2013). Mini-review: Foldosome regulation of androgen receptor action in prostate cancer. Molecular and Cellular Endocrinology. 369(1-2). 52–62. 52 indexed citations
15.
Brooke, Greg N., D. Alwyn Dart, David J. Mann, et al.. (2010). FUS/TLS Is a Novel Mediator of Androgen-Dependent Cell-Cycle Progression and Prostate Cancer Growth. Cancer Research. 71(3). 914–924. 57 indexed citations
16.
Bevan, Charlotte L. & Janet Scott. (2009). Saving babies' lives.. PubMed. 12(9). 19–20. 1 indexed citations
17.
Villaronga, M. Ángeles, Derek N. Lavery, Charlotte L. Bevan, Susana Llanos, & Borja Belandia. (2009). HEY1 Leu94Met gene polymorphism dramatically modifies its biological functions. Oncogene. 29(3). 411–420. 21 indexed citations
18.
Bevan, Charlotte L.. (2005). Androgen receptor in prostate cancer: cause or cure?. Trends in Endocrinology and Metabolism. 16(9). 395–397. 9 indexed citations
19.
Belandia, Borja, Sue M. Powell, Juana García-Pedrero, et al.. (2005). Hey1, a Mediator of Notch Signaling, Is an Androgen Receptor Corepressor. Molecular and Cellular Biology. 25(4). 1425–1436. 112 indexed citations
20.
Gamble, Simon C., Jonathan Waxman, Jules A. Westbrook, et al.. (2004). Androgens target prohibitin to regulate proliferation of prostate cancer cells. Oncogene. 23(17). 2996–3004. 91 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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