Duncan E. Scott

2.5k total citations · 1 hit paper
18 papers, 1.8k citations indexed

About

Duncan E. Scott is a scholar working on Molecular Biology, Oncology and Computational Theory and Mathematics. According to data from OpenAlex, Duncan E. Scott has authored 18 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Duncan E. Scott's work include Biochemical and Molecular Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Computational Drug Discovery Methods (3 papers). Duncan E. Scott is often cited by papers focused on Biochemical and Molecular Research (4 papers), RNA and protein synthesis mechanisms (4 papers) and Computational Drug Discovery Methods (3 papers). Duncan E. Scott collaborates with scholars based in United Kingdom, United States and Australia. Duncan E. Scott's co-authors include Chris Abell, John Skidmore, Andrew R. Bayly, Anthony G. Coyne, Sean A. Hudson, Tom L. Blundell, William J. Harrington, Lisa Cabral, Ashok R. Venkitaraman and Marko Hyvönen and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Molecular Biology and Nature Reviews Drug Discovery.

In The Last Decade

Duncan E. Scott

18 papers receiving 1.7k citations

Hit Papers

Small molecules, big targets: drug discovery faces the pr... 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duncan E. Scott United Kingdom 13 1.3k 352 287 278 165 18 1.8k
Anthony M. Giannetti United States 24 1.4k 1.1× 221 0.6× 313 1.1× 350 1.3× 216 1.3× 35 2.5k
Ronald M. A. Knegtel Netherlands 23 1.4k 1.1× 381 1.1× 438 1.5× 323 1.2× 122 0.7× 44 2.2k
Jeremy Green United States 26 1.4k 1.1× 828 2.4× 253 0.9× 298 1.1× 281 1.7× 51 2.4k
Jonathan J. Burbaum United States 23 1.4k 1.1× 308 0.9× 106 0.4× 360 1.3× 137 0.8× 34 1.9k
Iva Navrátilová United Kingdom 22 1.3k 1.0× 295 0.8× 121 0.4× 177 0.6× 307 1.9× 39 1.6k
Iris Antes Germany 25 1.1k 0.9× 327 0.9× 201 0.7× 122 0.4× 188 1.1× 67 1.8k
Thilo Werner Germany 21 2.8k 2.2× 347 1.0× 345 1.2× 326 1.2× 141 0.9× 25 3.5k
Oliver Koch Germany 21 1.4k 1.1× 576 1.6× 386 1.3× 205 0.7× 132 0.8× 89 1.9k
Paul E. Morin United States 17 990 0.8× 177 0.5× 216 0.8× 226 0.8× 157 1.0× 25 1.5k
Philippe Roche France 27 1.1k 0.8× 229 0.7× 383 1.3× 109 0.4× 81 0.5× 62 2.0k

Countries citing papers authored by Duncan E. Scott

Since Specialization
Citations

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

Fields of papers citing papers by Duncan E. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Duncan E. Scott. 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 Duncan E. Scott. The network helps show where Duncan E. Scott may publish in the future.

Co-authorship network of co-authors of Duncan E. Scott

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

All Works

18 of 18 papers shown
1.
Rooney, Timothy P. C., Henriëtte M. G. Willems, Simon Edwards, et al.. (2022). Development of Selective Phosphatidylinositol 5-Phosphate 4-Kinase γ Inhibitors with a Non-ATP-competitive, Allosteric Binding Mode. Journal of Medicinal Chemistry. 65(4). 3359–3370. 16 indexed citations
2.
Rooney, Timothy P. C., Henriëtte M. G. Willems, Simon Edwards, et al.. (2022). The Identification of Potent, Selective, and Brain Penetrant PI5P4Kγ Inhibitors as In Vivo-Ready Tool Molecules. Journal of Medicinal Chemistry. 66(1). 804–821. 11 indexed citations
3.
Scott, Duncan E., Timothy P. C. Rooney, Elliott D. Bayle, et al.. (2020). Systematic Investigation of the Permeability of Androgen Receptor PROTACs. ACS Medicinal Chemistry Letters. 11(8). 1539–1547. 53 indexed citations
4.
Moschetti, Tommaso, Timothy Sharpe, Gerhard W. Fischer, et al.. (2016). Engineering Archeal Surrogate Systems for the Development of Protein–Protein Interaction Inhibitors against Human RAD51. Journal of Molecular Biology. 428(23). 4589–4607. 12 indexed citations
5.
Scott, Duncan E., Andrew R. Bayly, Chris Abell, & John Skidmore. (2016). Small molecules, big targets: drug discovery faces the protein–protein interaction challenge. Nature Reviews Drug Discovery. 15(8). 533–550. 802 indexed citations breakdown →
6.
Marsh, M., Duncan E. Scott, M.T. Ehebauer, et al.. (2016). ATP half‐sites in RadA and RAD51 recombinases bind nucleotides. FEBS Open Bio. 6(5). 372–385. 5 indexed citations
7.
Scott, Duncan E., Anthony G. Coyne, Ashok R. Venkitaraman, et al.. (2014). Small‐Molecule Inhibitors That Target Protein–Protein Interactions in the RAD51 Family of Recombinases. ChemMedChem. 10(2). 296–303. 30 indexed citations
8.
Scott, Duncan E., M.T. Ehebauer, Tara L. Pukala, et al.. (2013). Using a Fragment‐Based Approach To Target Protein–Protein Interactions. ChemBioChem. 14(3). 332–342. 93 indexed citations
9.
Scott, Duncan E., Anthony G. Coyne, Sean A. Hudson, & Chris Abell. (2012). Fragment-Based Approaches in Drug Discovery and Chemical Biology. Biochemistry. 51(25). 4990–5003. 345 indexed citations
10.
Coyne, Anthony G., Duncan E. Scott, & Chris Abell. (2010). Drugging challenging targets using fragment-based approaches. Current Opinion in Chemical Biology. 14(3). 299–307. 64 indexed citations
11.
Scott, Duncan E., et al.. (2009). A Fragment‐Based Approach to Probing Adenosine Recognition Sites by Using Dynamic Combinatorial Chemistry. ChemBioChem. 10(17). 2772–2779. 43 indexed citations
12.
Shim, Jung-uk, Luis F. Olguín, Graeme Whyte, et al.. (2009). Simultaneous Determination of Gene Expression and Enzymatic Activity in Individual Bacterial Cells in Microdroplet Compartments. Journal of the American Chemical Society. 131(42). 15251–15256. 129 indexed citations
13.
Ciulli, Alessio, Duncan E. Scott, Fernando Reyes, et al.. (2008). Inhibition of Mycobacterium tuberculosis Pantothenate Synthetase by Analogues of the Reaction Intermediate. ChemBioChem. 9(16). 2606–2611. 51 indexed citations
14.
Scott, Duncan E., Alessio Ciulli, & Chris Abell. (2007). Coenzyme biosynthesis: enzyme mechanism, structure and inhibition. Natural Product Reports. 24(5). 1009–1009. 9 indexed citations
15.
Scott, Duncan E., Lisa Cabral, & William J. Harrington. (2001). Treatment of HIV-associated multicentric Castleman's disease with oral etoposide. American Journal of Hematology. 66(2). 148–150. 49 indexed citations
16.
Toomey, Ngoc, Vadim Deyev, Charles Wood, et al.. (2001). Induction of a TRAIL mediated suicide program by interferon alpha in primary effusion lymphoma. Oncogene. 20(48). 7029–7040. 54 indexed citations
17.
Scott, Duncan E., Lisa Cabral, & William J. Harrington. (2001). Treatment of HIV‐associated multicentric Castleman's disease with oral etoposide. American Journal of Hematology. 66(2). 148–150. 5 indexed citations
18.
Dexter, T M, et al.. (1979). Isolation and characterization of a bipotential haema- topoietic cell line.. The Mouseion at the JAXlibrary (Jackson Laboratory). 2 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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