Oliver Barker

814 total citations
10 papers, 407 citations indexed

About

Oliver Barker is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Oliver Barker has authored 10 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Oliver Barker's work include Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (3 papers). Oliver Barker is often cited by papers focused on Ubiquitin and proteasome pathways (3 papers), Computational Drug Discovery Methods (3 papers) and Receptor Mechanisms and Signaling (3 papers). Oliver Barker collaborates with scholars based in United Kingdom, United States and Germany. Oliver Barker's co-authors include Richard Law, C. O'Dowd, Jakub Flasz, Gérald Gavory, Keeva McClelland, Natalie Page, Timothy Harrison, Hugues Miel, Matthew Helm and Alexander Heifetz and has published in prestigious journals such as Biochemistry, Cancer Research and Scientific Reports.

In The Last Decade

Oliver Barker

10 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Oliver Barker United Kingdom	8	336	114	82	48	47	10	407
Robert G. Boyle United Kingdom	8	237 0.7×	55 0.5×	76 0.9×	6 0.1×	74 1.6×	8	313
Linnéa Schmidt Sweden	12	235 0.7×	68 0.6×	19 0.2×	10 0.2×	42 0.9×	19	478
Melissa Birol United States	10	331 1.0×	48 0.4×	17 0.2×	24 0.5×	42 0.9×	12	421
Cuifen Hou United States	13	400 1.2×	102 0.9×	20 0.2×	8 0.2×	76 1.6×	23	586
Martha G. Bomar United States	9	314 0.9×	104 0.9×	10 0.1×	10 0.2×	23 0.5×	14	425
Amanda Cobos‐Correa Switzerland	6	192 0.6×	34 0.3×	78 1.0×	21 0.4×	43 0.9×	9	385
Fynn M. Hansen Germany	11	387 1.2×	109 1.0×	8 0.1×	25 0.5×	17 0.4×	14	497
Yu-Wen Liu Taiwan	9	231 0.7×	87 0.8×	48 0.6×	18 0.4×	20 0.4×	9	398
Clarisse G. Ricci United States	10	369 1.1×	36 0.3×	24 0.3×	5 0.1×	27 0.6×	21	501
Mark I. Kemp United Kingdom	10	288 0.9×	70 0.6×	19 0.2×	43 0.9×	66 1.4×	15	396

Countries citing papers authored by Oliver Barker

Since Specialization

Citations

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

Fields of papers citing papers by Oliver Barker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oliver Barker

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

All Works

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10 of 10 papers shown

Page, Natalie, Mark Wappett, C. O'Dowd, et al.. (2022). Identification and development of a subtype-selective allosteric AKT inhibitor suitable for clinical development. Scientific Reports. 12(1). 15715–15715. 8 indexed citations

O'Dowd, C., Matthew Helm, Jakub Flasz, et al.. (2018). Identification and Structure-Guided Development of Pyrimidinone Based USP7 Inhibitors. ACS Medicinal Chemistry Letters. 9(3). 238–243. 50 indexed citations

Gavory, Gérald, C. O'Dowd, Matthew Helm, et al.. (2017). Discovery and characterization of highly potent and selective allosteric USP7 inhibitors. Nature Chemical Biology. 14(2). 118–125. 165 indexed citations

Gavory, Gérald, C. O'Dowd, Keeva McClelland, et al.. (2015). Abstract LB-257: Discovery and characterization of novel, highly potent and selective USP7 inhibitors. Cancer Research. 75(15_Supplement). LB–257. 2 indexed citations

Heifetz, Alexander, Oliver Barker, Norbert Wimmer, et al.. (2013). Fighting Obesity with a Sugar-Based Library: Discovery of Novel MCH-1R Antagonists by a New Computational–VAST Approach for Exploration of GPCR Binding Sites. Journal of Chemical Information and Modeling. 53(5). 1084–1099. 20 indexed citations

Heifetz, Alexander, et al.. (2013). Toward an Understanding of Agonist Binding to Human Orexin-1 and Orexin-2 Receptors with G-Protein-Coupled Receptor Modeling and Site-Directed Mutagenesis. Biochemistry. 52(46). 8246–8260. 35 indexed citations

Heifetz, Alexander, Philip C. Biggin, Oliver Barker, et al.. (2012). Study of Human Orexin-1 and -2 G-Protein-Coupled Receptors with Novel and Published Antagonists by Modeling, Molecular Dynamics Simulations, and Site-Directed Mutagenesis. Biochemistry. 51(15). 3178–3197. 34 indexed citations

Montalbetti, Christian, Adam Gołȩbiowski, Andrew N. Carr, et al.. (2011). The synthesis and evaluation of indolylureas as PKCα inhibitors. Bioorganic & Medicinal Chemistry. 19(8). 2742–2750. 6 indexed citations

Barker, John J., Oliver Barker, Stephen M. Courtney, et al.. (2010). Discovery of a Novel Hsp90 Inhibitor by Fragment Linking. ChemMedChem. 5(10). 1697–1700. 42 indexed citations

10.

Law, Richard, Oliver Barker, John J. Barker, et al.. (2009). The multiple roles of computational chemistry in fragment-based drug design. Journal of Computer-Aided Molecular Design. 23(8). 459–473. 45 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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