Darren Fayne

1.4k total citations
52 papers, 1.1k citations indexed

About

Darren Fayne is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Darren Fayne has authored 52 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 20 papers in Organic Chemistry and 14 papers in Computational Theory and Mathematics. Recurrent topics in Darren Fayne's work include Computational Drug Discovery Methods (14 papers), Estrogen and related hormone effects (11 papers) and Synthesis and biological activity (7 papers). Darren Fayne is often cited by papers focused on Computational Drug Discovery Methods (14 papers), Estrogen and related hormone effects (11 papers) and Synthesis and biological activity (7 papers). Darren Fayne collaborates with scholars based in Ireland, Saudi Arabia and United States. Darren Fayne's co-authors include David G. Lloyd, Mary J. Meegan, Keith Hanlon, Paul B. McCormac, Joshua Howarth, D. Clive Williams, Daniela M. Zisterer, Niamh M. O’Boyle, Brendan Twamley and Andrew J. S. Knox and has published in prestigious journals such as Nature Biotechnology, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

Darren Fayne

50 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
Darren Fayne Ireland 19 456 406 255 153 120 52 1.1k
Yagamare Fall Spain 21 827 1.8× 382 0.9× 258 1.0× 41 0.3× 46 0.4× 121 1.4k
Jacopo Sgrignani Italy 22 214 0.5× 611 1.5× 203 0.8× 16 0.1× 72 0.6× 61 1.2k
J. Uppenberg Sweden 17 286 0.6× 2.0k 4.8× 93 0.4× 51 0.3× 103 0.9× 19 2.3k
R. MCCAGUE United Kingdom 20 566 1.2× 564 1.4× 84 0.3× 22 0.1× 178 1.5× 54 1.4k
David House United Kingdom 23 822 1.8× 635 1.6× 103 0.4× 10 0.1× 52 0.4× 66 1.9k
María Grazia Ferlin Italy 23 807 1.8× 509 1.3× 41 0.2× 42 0.3× 22 0.2× 68 1.3k
Zhaoqiang Chen China 19 473 1.0× 337 0.8× 90 0.4× 17 0.1× 45 0.4× 34 1.1k
Sudipta Basu India 23 356 0.8× 732 1.8× 79 0.3× 9 0.1× 53 0.4× 75 1.7k
Neha Maurya India 19 313 0.7× 652 1.6× 50 0.2× 66 0.4× 29 0.2× 32 959
Hanna Kumpulainen Finland 5 305 0.7× 601 1.5× 84 0.3× 7 0.0× 98 0.8× 8 1.3k

Countries citing papers authored by Darren Fayne

Since Specialization
Citations

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

Fields of papers citing papers by Darren Fayne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Darren Fayne

This figure shows the co-authorship network connecting the top 25 collaborators of Darren Fayne. A scholar is included among the top collaborators of Darren Fayne 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 Darren Fayne. Darren Fayne 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
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Malebari, Azizah M., Brendan Twamley, Darren Fayne, et al.. (2022). Synthesis, Characterisation and Mechanism of Action of Anticancer 3-Fluoroazetidin-2-ones. Pharmaceuticals. 15(9). 1044–1044. 9 indexed citations
4.
Malebari, Azizah M., Seema M. Nathwani, Brendan Twamley, et al.. (2021). Synthesis and Biological Evaluation of 1-(Diarylmethyl)-1H-1,2,4-triazoles and 1-(Diarylmethyl)-1H-imidazoles as a Novel Class of Anti-Mitotic Agent for Activity in Breast Cancer. Pharmaceuticals. 14(2). 169–169. 8 indexed citations
5.
Malebari, Azizah M., Darren Fayne, Seema M. Nathwani, et al.. (2020). β-Lactams with antiproliferative and antiapoptotic activity in breast and chemoresistant colon cancer cells. European Journal of Medicinal Chemistry. 189. 112050–112050. 30 indexed citations
6.
Byrne, Andrew J., Sandra A. Bright, Darren Fayne, et al.. (2018). Synthesis, Antiproliferative and Pro-Apoptotic Effects of Nitrostyrenes and Related Compounds in Burkitt's Lymphoma. Medicinal Chemistry. 14(2). 181–199. 5 indexed citations
7.
Bright, Sandra A., et al.. (2016). Synthesis, antiproliferative and pro-apoptotic activity of 2-phenylindoles. Bioorganic & Medicinal Chemistry. 24(18). 4075–4099. 22 indexed citations
8.
Mawhinney, Leona, Michelle E. Armstrong, Ciaran O’Reilly, et al.. (2014). Macrophage Migration Inhibitory Factor (MIF) Enzymatic Activity and Lung Cancer. Molecular Medicine. 20(1). 729–735. 53 indexed citations
9.
Fayne, Darren. (2013). De-peptidising protein–protein interactions – big jobs for small molecules. Drug Discovery Today Technologies. 10(4). e467–e474. 7 indexed citations
10.
Blanco, Fernando, Laura Caboni, José Elguero, et al.. (2012). Study ofE/ZIsomerization in a Series of Novel Non-ligand Binding Pocket Androgen Receptor Antagonists. Journal of Chemical Information and Modeling. 52(9). 2387–2397. 14 indexed citations
11.
Fayne, Darren, Hans W. Horn, Martin Peters, et al.. (2012). Consensus Computational Ligand‐Based Design for the Identification of Novel Modulators of Human Estrogen Receptor Alpha. Molecular Informatics. 31(3-4). 246–258. 5 indexed citations
12.
Lloyd, David G., et al.. (2011). Rational Targeting of Peroxisome Proliferating Activated Receptor Subtypes. Current Medicinal Chemistry. 18(36). 5598–5623. 19 indexed citations
13.
Carta, Giorgio, Martin Peters, Trevor Price, et al.. (2010). ‘tieredScreen’ – Layered Virtual Screening Tool for the Identification of Novel Estrogen Receptor Alpha Modulators. Molecular Informatics. 29(5). 421–430. 6 indexed citations
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Veith, Henrike, Noel Southall, Ruili Huang, et al.. (2009). Comprehensive characterization of cytochrome P450 isozyme selectivity across chemical libraries. Nature Biotechnology. 27(11). 1050–1055. 163 indexed citations
16.
Kinsella, Gemma K., et al.. (2009). Rational Structure-Based Drug Design and Optimization in the Ligand-Binding Domain of the Glucocorticoid Receptor-α. Future Medicinal Chemistry. 1(2). 345–359. 6 indexed citations
17.
Butler, Stephen A., Darren Fayne, Naomi McGovern, et al.. (2009). Novel microtubule-targeting agents, pyrrolo-1,5-benzoxazepines, induce apoptosis in multi-drug-resistant cancer cells. Cancer Chemotherapy and Pharmacology. 66(3). 585–596. 21 indexed citations
18.
Lloyd, David G., et al.. (2006). Oncology exploration: charting cancer medicinal chemistry space. Drug Discovery Today. 11(3-4). 149–159. 39 indexed citations
19.
Carta, Giorgio, et al.. (2006). Permuting input for more effective sampling of 3D conformer space. Journal of Computer-Aided Molecular Design. 20(3). 179–190. 11 indexed citations
20.
Bell, Steven E. J., M. Anthony McKervey, Darren Fayne, Patrick M. Kane, & Dermot Diamond. (1998). Molecular Modeling of Calixarenes with Group I Metal Ions. Journal of Molecular Modeling. 4(1). 44–52. 8 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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