Stephen A. St-Gallay

1.3k total citations
14 papers, 630 citations indexed

About

Stephen A. St-Gallay is a scholar working on Molecular Biology, Computational Theory and Mathematics and Organic Chemistry. According to data from OpenAlex, Stephen A. St-Gallay has authored 14 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Computational Theory and Mathematics and 5 papers in Organic Chemistry. Recurrent topics in Stephen A. St-Gallay's work include Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Stephen A. St-Gallay is often cited by papers focused on Computational Drug Discovery Methods (6 papers), Analytical Chemistry and Chromatography (3 papers) and Pharmacogenetics and Drug Metabolism (2 papers). Stephen A. St-Gallay collaborates with scholars based in United Kingdom, Sweden and United States. Stephen A. St-Gallay's co-authors include Paul D. Leeson, A. M. Davis, Gerard J. Kleywegt, Mark C. Wenlock, Daniel J. Warner, Ed Griffen, Yafeng Xue, Simon D. Guile, Simon J. Teague and Frédéric R. Leroux and has published in prestigious journals such as Nature Reviews Drug Discovery, Journal of Medicinal Chemistry and Chemical Science.

In The Last Decade

Stephen A. St-Gallay

14 papers receiving 602 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen A. St-Gallay United Kingdom 10 298 272 202 104 87 14 630
Jörg Bentzien United States 15 324 1.1× 134 0.5× 184 0.9× 59 0.6× 58 0.7× 24 739
John G. Cumming United Kingdom 17 295 1.0× 222 0.8× 500 2.5× 83 0.8× 44 0.5× 30 881
Lars Nærum Denmark 14 272 0.9× 185 0.7× 249 1.2× 62 0.6× 29 0.3× 17 592
Munikumar Reddy Doddareddy South Korea 21 551 1.8× 198 0.7× 292 1.4× 39 0.4× 70 0.8× 37 928
Nicola Colclough United Kingdom 18 555 1.9× 255 0.9× 219 1.1× 77 0.7× 98 1.1× 36 965
Carsten Schmeck Germany 15 309 1.0× 154 0.6× 312 1.5× 41 0.4× 51 0.6× 26 759
Isabelle Morize France 10 534 1.8× 200 0.7× 226 1.1× 67 0.6× 32 0.4× 19 760
Martin P. Edwards United States 15 518 1.7× 286 1.1× 492 2.4× 80 0.8× 137 1.6× 30 1.2k
Nicolas Triballeau France 11 567 1.9× 378 1.4× 192 1.0× 47 0.5× 44 0.5× 13 895
Yasuhisa Kurogi Japan 15 483 1.6× 277 1.0× 359 1.8× 63 0.6× 64 0.7× 21 982

Countries citing papers authored by Stephen A. St-Gallay

Since Specialization
Citations

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

Fields of papers citing papers by Stephen A. St-Gallay

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen A. St-Gallay. 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 Stephen A. St-Gallay. The network helps show where Stephen A. St-Gallay may publish in the future.

Co-authorship network of co-authors of Stephen A. St-Gallay

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

All Works

14 of 14 papers shown
1.
Ward, Richard A., et al.. (2019). Predicting protein–ligand binding affinity and correcting crystal structures with quantum mechanical calculations: lactate dehydrogenase A. Chemical Science. 10(7). 2218–2227. 11 indexed citations
2.
Todd, Ian, Ola H. Negm, Jenna Reps, et al.. (2017). A signalome screening approach in the autoinflammatory disease TNF receptor associated periodic syndrome (TRAPS) highlights the anti-inflammatory properties of drugs for repurposing. Pharmacological Research. 125(Pt B). 188–200. 8 indexed citations
3.
Dossetter, Alexander G., et al.. (2017). Turbocharging Matched Molecular Pair Analysis: Optimizing the Identification and Analysis of Pairs. Journal of Chemical Information and Modeling. 57(10). 2424–2436. 8 indexed citations
4.
St-Gallay, Stephen A., et al.. (2016). Tools, techniques, organisation and culture of the CADD group at Sygnature Discovery. Journal of Computer-Aided Molecular Design. 31(3). 305–308. 2 indexed citations
5.
Simpson, Iain, Stephen A. St-Gallay, S.P. Stokes, David Whittaker, & Rafal Wiewiora. (2015). An efficient one-pot synthesis of 2-bromo-6-aryl[5H]pyrrolo[2,3-b]pyrazines. Tetrahedron Letters. 56(12). 1492–1495. 5 indexed citations
6.
Leeson, Paul D. & Stephen A. St-Gallay. (2011). The influence of the 'organizational factor' on compound quality in drug discovery. Nature Reviews Drug Discovery. 10(10). 749–765. 115 indexed citations
7.
Luker, Tim, Lilian Alcaraz, Kamaldeep K. Chohan, et al.. (2011). Strategies to improve in vivo toxicology outcomes for basic candidate drug molecules. Bioorganic & Medicinal Chemistry Letters. 21(19). 5673–5679. 49 indexed citations
8.
Leeson, Paul D., Stephen A. St-Gallay, & Mark C. Wenlock. (2010). Impact of ion class and time on oral drug molecular properties. MedChemComm. 2(2). 91–105. 64 indexed citations
9.
Warner, Daniel J., Ed Griffen, & Stephen A. St-Gallay. (2010). WizePairZ: A Novel Algorithm to Identify, Encode, and Exploit Matched Molecular Pairs with Unspecified Cores in Medicinal Chemistry. Journal of Chemical Information and Modeling. 50(8). 1350–1357. 53 indexed citations
10.
Davis, A. M., Stephen A. St-Gallay, & Gerard J. Kleywegt. (2008). Limitations and lessons in the use of X-ray structural information in drug design. Drug Discovery Today. 13(19-20). 831–841. 114 indexed citations
11.
Guile, Simon D., John R. Bantick, Martin Cooper, et al.. (2006). Optimization of Monocarboxylate Transporter 1 Blockers through Analysis and Modulation of Atropisomer Interconversion Properties. Journal of Medicinal Chemistry. 50(2). 254–263. 57 indexed citations
12.
Stocks, Michael J., et al.. (2005). Structure-driven HtL: Design and synthesis of novel aminoindazole inhibitors of c-Jun N-terminal kinase activity. Bioorganic & Medicinal Chemistry Letters. 15(14). 3459–3462. 37 indexed citations
13.
Baxter, Andrew, Anne Cooper, Eike Floettmann, et al.. (2004). Hit-to-lead studies: the discovery of potent, orally active, thiophenecarboxamide IKK-2 inhibitors. Bioorganic & Medicinal Chemistry Letters. 14(11). 2817–2822. 70 indexed citations
14.
Connolly, Stephen, Anders Åberg, A.S. Arvai, et al.. (2004). 2-Aminopyridines as Highly Selective Inducible Nitric Oxide Synthase Inhibitors. Differential Binding Modes Dependent on Nitrogen Substitution. Journal of Medicinal Chemistry. 47(12). 3320–3323. 37 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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