Dawn A. Bradbury

456 total citations
9 papers, 396 citations indexed

About

Dawn A. Bradbury is a scholar working on Pharmacology, Genetics and Molecular Biology. According to data from OpenAlex, Dawn A. Bradbury has authored 9 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pharmacology, 4 papers in Genetics and 3 papers in Molecular Biology. Recurrent topics in Dawn A. Bradbury's work include Estrogen and related hormone effects (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Dawn A. Bradbury is often cited by papers focused on Estrogen and related hormone effects (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). Dawn A. Bradbury collaborates with scholars based in United Kingdom. Dawn A. Bradbury's co-authors include Alan J. Knox, Lisa Corbett, Linhua Pang, Deborah Clarke, Yong Zhu, Joanne Stocks, José A. Sánchez‐Alcázar, Claire Seedhouse, Amy Sutcliffe and Robert Newton and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and FEBS Letters.

In The Last Decade

Dawn A. Bradbury

8 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dawn A. Bradbury United Kingdom 8 149 120 93 81 78 9 396
Theresa Conway United States 7 287 1.9× 76 0.6× 83 0.9× 70 0.9× 42 0.5× 9 460
Hana Yamane Japan 8 123 0.8× 237 2.0× 165 1.8× 49 0.6× 172 2.2× 9 494
Gannareddy V. Girish Canada 11 204 1.4× 119 1.0× 32 0.3× 110 1.4× 103 1.3× 17 563
Umesh Bhatia United States 9 311 2.1× 100 0.8× 58 0.6× 103 1.3× 50 0.6× 11 505
Hiromi Hanaka Japan 11 146 1.0× 124 1.0× 46 0.5× 53 0.7× 81 1.0× 11 357
Keizo Inoue Japan 8 390 2.6× 90 0.8× 106 1.1× 46 0.6× 102 1.3× 11 613
Richard Armer United Kingdom 9 161 1.1× 94 0.8× 171 1.8× 31 0.4× 101 1.3× 27 493
Zsolt Kasza Sweden 11 178 1.2× 87 0.7× 43 0.5× 25 0.3× 66 0.8× 15 385
Isao Kawabata Japan 10 263 1.8× 72 0.6× 53 0.6× 58 0.7× 120 1.5× 17 484
Branislav M. Marcic United States 12 359 2.4× 147 1.2× 52 0.6× 81 1.0× 88 1.1× 13 928

Countries citing papers authored by Dawn A. Bradbury

Since Specialization
Citations

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

Fields of papers citing papers by Dawn A. Bradbury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dawn A. Bradbury. 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 Dawn A. Bradbury. The network helps show where Dawn A. Bradbury may publish in the future.

Co-authorship network of co-authors of Dawn A. Bradbury

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

All Works

9 of 9 papers shown
1.
Sutcliffe, Amy, et al.. (2009). Transcriptional regulation of monocyte chemotactic protein‐1 release by endothelin‐1 in human airway smooth muscle cells involves NF‐κB and AP‐1. British Journal of Pharmacology. 157(3). 436–450. 45 indexed citations
2.
Clarke, Deborah, Amy Sutcliffe, Karl Deacon, et al.. (2008). PKCβΙΙ Augments NF-κB-Dependent Transcription at the CCL11 Promoter via p300/CBP-Associated Factor Recruitment and Histone H4 Acetylation. The Journal of Immunology. 181(5). 3503–3514. 39 indexed citations
3.
Bradbury, Dawn A., Deborah Clarke, Claire Seedhouse, et al.. (2005). Vascular Endothelial Growth Factor Induction by Prostaglandin E2 in Human Airway Smooth Muscle Cells Is Mediated by E Prostanoid EP2/EP4 Receptors and SP-1 Transcription Factor Binding Sites. Journal of Biological Chemistry. 280(34). 29993–30000. 81 indexed citations
4.
Stocks, Joanne, Dawn A. Bradbury, Lisa Corbett, Linhua Pang, & Alan J. Knox. (2005). Cytokines upregulate vascular endothelial growth factor secretion by human airway smooth muscle cells: Role of endogenous prostanoids. FEBS Letters. 579(12). 2551–2556. 25 indexed citations
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7.
Sánchez‐Alcázar, José A., Dawn A. Bradbury, Linhua Pang, & Alan J. Knox. (2003). Cyclooxygenase (COX) inhibitors induce apoptosis in non-small cell lung cancer through cyclooxygenase independent pathways. Lung Cancer. 40(1). 33–44. 59 indexed citations
8.
Cox, Anne E., et al.. (2001). Determination of the Effects of Camptothecin on Cell Cycling and Apoptosis in Human Leukaemic Cell Lines. The Scientific World JOURNAL. 1. 105–105. 1 indexed citations
9.
Zhu, Yongming, Dawn A. Bradbury, & Nigel H. Russell. (1994). Decreased retinoblastoma protein expression in acute myeloblastic leukaemia is associated with the autonomous proliferation of clonogenic blasts. British Journal of Haematology. 86(3). 533–539. 18 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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