Steven Darby

1.5k total citations
26 papers, 1.2k citations indexed

About

Steven Darby is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Steven Darby has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Oncology. Recurrent topics in Steven Darby's work include Prostate Cancer Treatment and Research (7 papers), Fibroblast Growth Factor Research (6 papers) and Radiation Dose and Imaging (3 papers). Steven Darby is often cited by papers focused on Prostate Cancer Treatment and Research (7 papers), Fibroblast Growth Factor Research (6 papers) and Radiation Dose and Imaging (3 papers). Steven Darby collaborates with scholars based in United Kingdom, Denmark and Australia. Steven Darby's co-authors include Craig Robson, J F Fraumeni, Thomas R. Fears, Joseph Scotto, Hing Y. Leung, Kanagasabai Sahadevan, Vincent J. Gnanapragasam, V.J. Gnanapragasam, Luke Gaughan and Marie E. Mathers and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Oncogene.

In The Last Decade

Steven Darby

26 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
Steven Darby United Kingdom 19 633 209 202 148 143 26 1.2k
Shinobu Gamou Japan 24 763 1.2× 111 0.5× 312 1.5× 103 0.7× 66 0.5× 58 1.8k
Luciano G. Martelotto United States 25 776 1.2× 196 0.9× 449 2.2× 487 3.3× 72 0.5× 62 1.7k
Elizabeth Elliott United States 16 348 0.5× 151 0.7× 111 0.5× 150 1.0× 110 0.8× 20 1.1k
A F Gazdar United States 16 707 1.1× 338 1.6× 573 2.8× 186 1.3× 260 1.8× 20 1.6k
Dominique Broccoli United States 23 2.9k 4.6× 205 1.0× 430 2.1× 154 1.0× 188 1.3× 44 4.4k
Dido Lenze Germany 29 1.2k 1.8× 387 1.9× 671 3.3× 654 4.4× 113 0.8× 80 2.3k
Lichen Zhang China 17 906 1.4× 68 0.3× 301 1.5× 177 1.2× 123 0.9× 63 1.6k
Kenichi Takeshita United States 24 975 1.5× 136 0.7× 821 4.1× 193 1.3× 90 0.6× 77 2.7k
John Williams United States 20 355 0.6× 229 1.1× 366 1.8× 72 0.5× 141 1.0× 41 1.1k
Yves Courty France 24 549 0.9× 247 1.2× 288 1.4× 217 1.5× 62 0.4× 66 1.4k

Countries citing papers authored by Steven Darby

Since Specialization
Citations

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

Fields of papers citing papers by Steven Darby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Darby

This figure shows the co-authorship network connecting the top 25 collaborators of Steven Darby. A scholar is included among the top collaborators of Steven Darby 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 Steven Darby. Steven Darby 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.
Olusanya, Temidayo, et al.. (2019). Evaluation of novel cationic gene based liposomes with cyclodextrin prepared by thin film hydration and microfluidic systems. Scientific Reports. 9(1). 15120–15120. 102 indexed citations
2.
McClurg, Urszula L., Steven Darby, Sirintra Nakjang, et al.. (2016). Identification of a novel K311 ubiquitination site critical for androgen receptor transcriptional activity. Nucleic Acids Research. 45(4). 1793–1804. 26 indexed citations
3.
Rodríguez, Mercedes, Steven Darby, Luke Gaughan, et al.. (2014). Survival Outcome and EMT Suppression Mediated by a Lectin Domain Interaction of Endo180 and CD147. Molecular Cancer Research. 13(3). 538–547. 18 indexed citations
4.
Coffey, Kelly, Lynsey Rogerson, Jacqueline Stockley, et al.. (2013). The lysine demethylase, KDM4B, is a key molecule in androgen receptor signalling and turnover. Nucleic Acids Research. 41(8). 4433–4446. 99 indexed citations
5.
Harle, Victoria, Kelly Coffey, Steven Darby, et al.. (2013). Deubiquitinating Enzyme Usp12 Is a Novel Co-activator of the Androgen Receptor. Journal of Biological Chemistry. 288(45). 32641–32650. 80 indexed citations
6.
Valencia, Tania, et al.. (2011). Role and expression of FRS2 and FRS3 in prostate cancer. BMC Cancer. 11(1). 484–484. 16 indexed citations
7.
Dafou, Dimitra, Barbara Grün, Kate Lawrenson, et al.. (2010). Microcell-Mediated Chromosome Transfer Identifies EPB41L3 as a Functional Suppressor of Epithelial Ovarian Cancers. Neoplasia. 12(7). 579–IN18. 44 indexed citations
8.
Darby, Steven, et al.. (2009). Evidence for distinct alterations in the FGF axis in prostate cancer progression to an aggressive clinical phenotype. The Journal of Pathology. 220(4). 452–460. 58 indexed citations
9.
10.
Wilkinson, Sarah, Ali Kucukmetin, Paul Cross, et al.. (2008). Expression of gonadotrophin releasing hormone receptor I is a favorable prognostic factor in epithelial ovarian cancer. Human Pathology. 39(8). 1197–1204. 22 indexed citations
11.
Rogerson, Lynsey, Steven Darby, Marie E. Mathers, et al.. (2008). Application of transcript profiling in formalin‐fixed paraffin‐embedded diagnostic prostate cancer needle biopsies. British Journal of Urology. 102(3). 364–370. 18 indexed citations
12.
Darby, Steven, Simon S. Cross, Nicola J. Brown, Freddie C. Hamdy, & Craig Robson. (2007). BMP‐6 over‐expression in prostate cancer is associated with increased Id‐1 protein and a more invasive phenotype. The Journal of Pathology. 214(3). 394–404. 60 indexed citations
13.
Darby, Steven, et al.. (2007). Expression of GnRH type II is regulated by the androgen receptor in prostate cancer. Endocrine Related Cancer. 14(3). 613–624. 16 indexed citations
14.
Sahadevan, Kanagasabai, et al.. (2007). Selective over‐expression of fibroblast growth factor receptors 1 and 4 in clinical prostate cancer. The Journal of Pathology. 213(1). 82–90. 93 indexed citations
15.
Darby, Steven, et al.. (2006). Loss of Sef (similar expression to FGF) expression is associated with high grade and metastatic prostate cancer. Oncogene. 25(29). 4122–4127. 47 indexed citations
16.
17.
Dawson, Deborah A., Steven Darby, Fiona M. Hunter, et al.. (2001). A critique of avianCHD‐based molecular sexing protocols illustrated by a Z‐chromosome polymorphism detected in auklets. Molecular Ecology Notes. 1(3). 201–204. 108 indexed citations
18.
Poffijn, A., et al.. (1992). Radon and Lung Cancer: Protocol and Procedures of the Multicentre Studies in the Ardennes-Eifel Region, Brittany and the Massif Central Region. Radiation Protection Dosimetry. 45(1-4). 651–656. 4 indexed citations
19.
Allum, William, et al.. (1990). Biodegradable emboli and antibody targetting of colorectal and gastric hepatic metastases: A pilot study. European Journal of Cancer and Clinical Oncology. 26(8). 876–879. 2 indexed citations
20.
Saunders, Richard D. E., Steven Darby, & C.I. Kowalczuk. (1983). Dominant lethal studies in male mice after exposure to 2.45 GHz microwave radiation. Mutation Research/Genetic Toxicology. 117(3-4). 345–356. 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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