Suzanne Brewerton

2.5k total citations · 1 hit paper
20 papers, 1.2k citations indexed

About

Suzanne Brewerton is a scholar working on Molecular Biology, Computational Theory and Mathematics and Pharmacology. According to data from OpenAlex, Suzanne Brewerton has authored 20 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, 11 papers in Computational Theory and Mathematics and 3 papers in Pharmacology. Recurrent topics in Suzanne Brewerton's work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (4 papers) and Enzyme Structure and Function (3 papers). Suzanne Brewerton is often cited by papers focused on Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (4 papers) and Enzyme Structure and Function (3 papers). Suzanne Brewerton collaborates with scholars based in United Kingdom, United States and France. Suzanne Brewerton's co-authors include Marcel L. Verdonk, Christopher W. Murray, Michael J. Hartshorn, Wijnand T. M. Mooij, Gianni Chessari, Paul N. Mortenson, Tom L. Blundell, Ewen F. Kirkness, Amalio Telenti and Yaron Turpaz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

Suzanne Brewerton

20 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diverse, High-Quality Test Set for the Validation of Protein−Ligand Docking Performance

2007 501 citations Michael J. Hartshorn, Marcel L. Verdonk et al. Journal of Medicinal Chemistry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suzanne Brewerton United Kingdom	12	869	487	164	137	125	20	1.2k
Tina Garyantes United States	10	734 0.8×	390 0.8×	121 0.7×	61 0.4×	99 0.8×	16	1.3k
Peter M.U. Ung United States	21	1.2k 1.4×	430 0.9×	160 1.0×	71 0.5×	238 1.9×	32	1.6k
Felix Krüger United Kingdom	8	1.2k 1.4×	970 2.0×	216 1.3×	190 1.4×	216 1.7×	11	1.9k
Christian N. Parker Switzerland	21	955 1.1×	292 0.6×	79 0.5×	123 0.9×	211 1.7×	47	1.4k
Ann E. Cleves United States	19	1.7k 2.0×	368 0.8×	125 0.8×	58 0.4×	139 1.1×	37	2.2k
Nicola Tolliday United States	20	1.6k 1.9×	223 0.5×	190 1.2×	121 0.9×	92 0.7×	28	2.1k
Nurcan Tunçbağ Türkiye	22	1.9k 2.2×	530 1.1×	310 1.9×	128 0.9×	99 0.8×	50	2.4k
Inbal Halperin United States	9	1.4k 1.6×	629 1.3×	383 2.3×	84 0.6×	80 0.6×	9	1.8k
Holger Franken Germany	8	1.6k 1.8×	253 0.5×	90 0.5×	67 0.5×	83 0.7×	9	2.1k
Vincent Le Guilloux France	5	1.0k 1.2×	574 1.2×	189 1.2×	42 0.3×	108 0.9×	5	1.3k

Countries citing papers authored by Suzanne Brewerton

Since Specialization

Citations

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

Fields of papers citing papers by Suzanne Brewerton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzanne Brewerton

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

All Works

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20 of 20 papers shown

Dear, Alexander J., Xiangyu Teng, J. Lewin, et al.. (2024). Molecular mechanism of α-synuclein aggregation on lipid membranes revealed. Chemical Science. 15(19). 7229–7242. 8 indexed citations

Wafford, Keith A., et al.. (2017). Polypharmacologicalin SilicoBioactivity Profiling and Experimental Validation Uncovers Sedative-Hypnotic Effects of Approved and Experimental Drugs in Rat. ACS Chemical Biology. 12(6). 1593–1602. 7 indexed citations

Xie, Chao, Zhen Xuan Yeo, Marie Wong, et al.. (2017). Fast and accurate HLA typing from short-read next-generation sequence data with xHLA. Proceedings of the National Academy of Sciences. 114(30). 8059–8064. 95 indexed citations

Telenti, Amalio, Levi Pierce, William Biggs, et al.. (2016). Deep sequencing of 10,000 human genomes. Proceedings of the National Academy of Sciences. 113(42). 11901–11906. 195 indexed citations

Koutsoukas, Alexios, et al.. (2015). Comparing Global and Local Likelihood Score Thresholds in Multiclass Laplacian-Modified Naive Bayes Protein Target Prediction. Combinatorial Chemistry & High Throughput Screening. 18(3). 323–330. 6 indexed citations

Kasim, Adetayo, Sonia Liggi, Suzanne Brewerton, et al.. (2014). Connecting gene expression data from connectivity map and in silico target predictions for small molecule mechanism-of-action analysis. Molecular BioSystems. 11(1). 86–96. 21 indexed citations

Brewerton, Suzanne, et al.. (2014). Comparative mode-of-action analysis following manual and automated phenotype detection inXenopus laevis. MedChemComm. 5(3). 386–396. 1 indexed citations

Liggi, Sonia, Alexios Koutsoukas, Isidro Cortés‐Ciriano, et al.. (2014). Extending In Silico Mechanism-of-Action Analysis by Annotating Targets with Pathways: Application to Cellular Cytotoxicity Readouts. Future Medicinal Chemistry. 6(18). 2029–2056. 15 indexed citations

Liggi, Sonia, Suzanne Brewerton, Grant N. Wheeler, et al.. (2013). Extensions to In Silico Bioactivity Predictions Using Pathway Annotations and Differential Pharmacology Analysis: Application to Xenopus laevis Phenotypic Readouts. Molecular Informatics. 32(11-12). 1009–1024. 10 indexed citations

10.

Cavallini, Annalisa, Suzanne Brewerton, Sarah Glover, et al.. (2013). An Unbiased Approach to Identifying Tau Kinases That Phosphorylate Tau at Sites Associated with Alzheimer Disease. Journal of Biological Chemistry. 288(32). 23331–23347. 95 indexed citations

11.

Koutsoukas, Alexios, et al.. (2013). Using machine learning techniques for rationalising phenotypic readouts from a rat sleeping model. Journal of Cheminformatics. 5(S1). 3 indexed citations

12.

Fechner, Nikolas, George Papadatos, David Evans, et al.. (2012). ChEMBLSpace—a graphical explorer of the chemogenomic space covered by the ChEMBL database. Bioinformatics. 29(4). 523–524. 9 indexed citations

13.

Brewerton, Suzanne. (2008). The use of protein-ligand interaction fingerprints in docking.. PubMed. 11(3). 356–64. 46 indexed citations

14.

O’Boyle, Noel M., Suzanne Brewerton, & Robin Taylor. (2008). Using Buriedness To Improve Discrimination between Actives and Inactives in Docking. Journal of Chemical Information and Modeling. 48(6). 1269–1278. 11 indexed citations

15.

Miguel, Ricardo Núñez, Martin C. Moncrieffe, Suzanne Brewerton, et al.. (2007). Autonomous folding of interdomain regions of a modular polyketide synthase. FEBS Journal. 274(9). 2196–2209. 7 indexed citations

16.

Hartshorn, Michael J., Marcel L. Verdonk, Gianni Chessari, et al.. (2007). Diverse, High-Quality Test Set for the Validation of Protein−Ligand Docking Performance. Journal of Medicinal Chemistry. 50(4). 726–741. 501 indexed citations breakdown →

17.

Blundell, Tom L., B. L. Sibanda, Rinaldo W. Montalvão, et al.. (2006). Structural biology and bioinformatics in drug design: opportunities and challenges for target identification and lead discovery. Philosophical Transactions of the Royal Society B Biological Sciences. 361(1467). 413–423. 127 indexed citations

18.

Bolaños-García, Víctor M., Sylvie Beaufils, Anne Renault, et al.. (2005). The Conserved N-Terminal Region of the Mitotic Checkpoint Protein BUBR1: A Putative TPR Motif of High Surface Activity. Biophysical Journal. 89(4). 2640–2649. 21 indexed citations

19.

Dore, A.S., Adam Drake, Suzanne Brewerton, & Tom L. Blundell. (2003). Identification of DNA-PK in the arthropods. DNA repair. 3(1). 33–41. 20 indexed citations

20.

Brewerton, Suzanne, A.S. Dore, Adam Drake, Kerstin K. Leuther, & Tom L. Blundell. (2003). Structural analysis of DNA–PKcs: modelling of the repeat units and insights into the detailed molecular architecture. Journal of Structural Biology. 145(3). 295–306. 24 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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