John W. Davies

4.5k total citations
41 papers, 3.3k citations indexed

About

John W. Davies is a scholar working on Computational Theory and Mathematics, Molecular Biology and Pharmacology. According to data from OpenAlex, John W. Davies has authored 41 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computational Theory and Mathematics, 25 papers in Molecular Biology and 10 papers in Pharmacology. Recurrent topics in John W. Davies's work include Computational Drug Discovery Methods (29 papers), Microbial Natural Products and Biosynthesis (9 papers) and Protein Structure and Dynamics (5 papers). John W. Davies is often cited by papers focused on Computational Drug Discovery Methods (29 papers), Microbial Natural Products and Biosynthesis (9 papers) and Protein Structure and Dynamics (5 papers). John W. Davies collaborates with scholars based in Switzerland, United States and United Kingdom. John W. Davies's co-authors include Meir Glick, Jeremy L. Jenkins, Andreas Bender, Josef Scheiber, Sai Chetan K. Sukuru, James H. Nettles, Nidhi Nidhi, Anthony E. Klon, Zhan Deng and Ronit Satchi‐Fainaro and has published in prestigious journals such as Nature, Nature Medicine and Bioinformatics.

In The Last Decade

John W. Davies

40 papers receiving 3.2k citations

Peers

John W. Davies

CTM

PHARM

BIOMA

M. Paul Gleeson Thailand

Daniel Reker United States

Yurii S. Moroz Ukraine

Oleg Ursu United States

Cristian Bologa United States

Grant R. Zimmermann United States

Yan A. Ivanenkov Russia

Shuxing Zhang United States

Jin Huang China

Douglas S. Auld United States

M. Paul Gleeson Thailand

John W. Davies

1.3k ×0.7

CTM

1.3k ×0.7

240 ×0.5

PHARM

753 ×2.0

131 ×0.4

BIOMA

Citations per year, relative to John W. Davies John W. Davies (= 1×) peers M. Paul Gleeson

Countries citing papers authored by John W. Davies

Since Specialization

Citations

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

Fields of papers citing papers by John W. Davies

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John W. Davies. 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 John W. Davies. The network helps show where John W. Davies may publish in the future.

Co-authorship network of co-authors of John W. Davies

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Davies. A scholar is included among the top collaborators of John W. Davies 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 John W. Davies. John W. Davies 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

Asghar, Ikram, et al.. (2023). A User-Centered System Usability Evaluation of a Virtual Reality Application Developed for Solar Farm Training. 157–165. 3 indexed citations

Wassermann, Anne Mai, Eugen Lounkine, Dominic Hoepfner, et al.. (2015). Dark chemical matter as a promising starting point for drug lead discovery. Nature Chemical Biology. 11(12). 958–966. 104 indexed citations

Wassermann, Anne Mai, Eugen Lounkine, John W. Davies, Meir Glick, & Luiz Miguel Camargo. (2014). The opportunities of mining historical and collective data in drug discovery. Drug Discovery Today. 20(4). 422–434. 24 indexed citations

Lounkine, Eugen, Peter S. Kutchukian, Paula Petrone, John W. Davies, & Meir Glick. (2012). Chemotography for multi-target SAR analysis in the context of biological pathways. Bioorganic & Medicinal Chemistry. 20(18). 5416–5427. 18 indexed citations

Sukuru, Sai Chetan K., Florian Nigsch, Jean Quancard, et al.. (2010). A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space. Protein Science. 19(11). 2096–2109. 5 indexed citations

Sukuru, Sai Chetan K., Jeremy L. Jenkins, Rohan E. J. Beckwith, et al.. (2009). Plate-Based Diversity Selection Based on Empirical HTS Data to Enhance the Number of Hits and Their Chemical Diversity. SLAS DISCOVERY. 14(6). 690–699. 58 indexed citations

Crisman, Thomas J., Andreas Bender, Mariusz Milik, et al.. (2008). “Virtual Fragment Linking”: An Approach To Identify Potent Binders from Low Affinity Fragment Hits. Journal of Medicinal Chemistry. 51(8). 2481–2491. 30 indexed citations

Bender, Andreas, Daniel Young, Jeremy L. Jenkins, et al.. (2007). Chemogenomic Data Analysis: Prediction of Small-Molecule Targets and the Advent of Biological Fingerprints. Combinatorial Chemistry & High Throughput Screening. 10(8). 719–731. 70 indexed citations

Nettles, James H., Jeremy L. Jenkins, Chris Williams, et al.. (2007). Flexible 3D pharmacophores as descriptors of dynamic biological space. Journal of Molecular Graphics and Modelling. 26(3). 622–633. 27 indexed citations

10.

Bender, Andreas, Josef Scheiber, Meir Glick, et al.. (2007). Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure. ChemMedChem. 2(6). 861–873. 247 indexed citations

11.

Crisman, Thomas J., Jeremy L. Jenkins, Christian N. Parker, et al.. (2007). “Plate Cherry Picking”: A Novel Semi-Sequential Screening Paradigm for Cheaper, Faster, Information-Rich Compound Selection. SLAS DISCOVERY. 12(3). 320–327. 30 indexed citations

12.

Crisman, Thomas J., Christian N. Parker, Jeremy L. Jenkins, et al.. (2007). Understanding False Positives in Reporter Gene Assays: in Silico Chemogenomics Approaches To Prioritize Cell-Based HTS Data. Journal of Chemical Information and Modeling. 47(4). 1319–1327. 51 indexed citations

13.

Davies, John W., Meir Glick, & Jeremy L. Jenkins. (2006). Streamlining lead discovery by aligning in silico and high-throughput screening. Current Opinion in Chemical Biology. 10(4). 343–351. 55 indexed citations

14.

Glick, Meir, Anthony E. Klon, Pierre Acklin, & John W. Davies. (2004). Enrichment of Extremely Noisy High-Throughput Screening Data Using a Naïve Bayes Classifier. SLAS DISCOVERY. 9(1). 32–36. 71 indexed citations

15.

Satchi‐Fainaro, Ronit, Mark Puder, John W. Davies, et al.. (2004). Targeting angiogenesis with a conjugate of HPMA copolymer and TNP-470. Nature Medicine. 10(3). 255–261. 269 indexed citations

16.

Klon, Anthony E., Meir Glick, & John W. Davies. (2004). Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease. Journal of Chemical Information and Computer Sciences. 44(6). 2216–2224. 32 indexed citations

17.

Jenkins, Jeremy L., Meir Glick, & John W. Davies. (2004). A 3D Similarity Method for Scaffold Hopping from Known Drugs or Natural Ligands to New Chemotypes. Journal of Medicinal Chemistry. 47(25). 6144–6159. 98 indexed citations

18.

Jacoby, Edgar, John W. Davies, & Marcel J. J. Blommers. (2002). Design of Small Molecule Libraries for NMR Screening and Other Applications in Drug Discovery. Current Topics in Medicinal Chemistry. 3(1). 11–23. 33 indexed citations

19.

Davies, D.J.G., Peter J. Garratt, Derek A. Tocher, et al.. (1998). Mapping the Melatonin Receptor. 5. Melatonin Agonists and Antagonists Derived from Tetrahydrocyclopent[b]indoles, Tetrahydrocarbazoles and Hexahydrocyclohept[b]indoles. Journal of Medicinal Chemistry. 41(4). 451–467. 55 indexed citations

20.

Walpole, Christopher, Stuart Bevan, Robin J. Breckenridge, et al.. (1994). The Discovery of Capsazepine, the First Competitive Antagonist of the Sensory Neuron Excitants Capsaicin and Resiniferatoxin. Journal of Medicinal Chemistry. 37(13). 1942–1954. 174 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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