John W. Davies

4.5k citations

41 papers · 3.3k indexed · h-index 30

Computational Theory and Mathematics top 0.1%
- Computational Drug Discovery Methods 29
Pharmacology top 1%
- Microbial Natural Products and Biosynthesis 9
Biophysics top 1%
- Cell Image Analysis Techniques 4
Toxicology top 2%
Pharmacology top 2%
- Microbial Natural Products and Biosynthesis 9
Molecular Biology
- Protein Structure and Dynamics 5
- Metabolomics and Mass Spectrometry Studies 5
- Bioinformatics and Genomic Networks 5
- Chemical Synthesis and Analysis 4
Spectroscopy
- Analytical Chemistry and Chromatography 4

Co-authors: Meir Glick Jeremy L. Jenkins Andreas Bender Josef Scheiber Sai Chetan K. Sukuru James H. Nettles Nidhi Nidhi Anthony E. Klon
Cited by: Computational Theory and Mathematics Pharmacology Biophysics
Journals: Journal of Medicinal Chemistry (8 papers)Journal of Chemical Information and Modeling (6 papers)SLAS DISCOVERY (3 papers)
Partner nations: Switzerland United States United Kingdom

In The Last Decade

John W. Davies

40 papers receiving 3.2k citations

Peers

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

The 25 scholars most cited alongside John W. Davies, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with John W. Davies Line = papers co-authored together John W. Davies links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	A User-Centered System Usability Evaluation of a Virtual Reality Application Developed for Solar Farm Training Ikram Asghar,Jonathan Lawry,Mark Griffiths,Vamshi Krishna Dasarraju,Bluebird Bio,John W. Davies	2023	3
2	Dark chemical matter as a promising starting point for drug lead discovery Nature Chemical Biology ·Anne Mai Wassermann,Eugen Lounkine,Dominic Hoepfner,Gaëlle Le Goff,Frederick J. King,Christian Studer,John M. Peltier,N.M. Dymar,E. Scheibe,Jianshi Tao,Ansgar Schuffenhauer,Iain M. Wallace,José Zavala Ramírez,Philipp Krastel,Amanda Cobos‐Correa,Christian N. Parker,John W. Davies,Meir Glick	2015	104
3	The opportunities of mining historical and collective data in drug discovery Drug Discovery Today ·Anne Mai Wassermann,Eugen Lounkine,John W. Davies,Meir Glick,Luiz Miguel Camargo	2014	24
4	Chemotography for multi-target SAR analysis in the context of biological pathways Bioorganic & Medicinal Chemistry ·Eugen Lounkine,Peter S. Kutchukian,Paula Petrone,John W. Davies,Meir Glick	2012	18
5	A lead discovery strategy driven by a comprehensive analysis of proteases in the peptide substrate space Protein Science ·Sai Chetan K. Sukuru,Florian Nigsch,Jean Quancard,Martin Renatus,Rajiv Chopra,Natasja Brooijmans,Д. А. Михайлов,Zhan Deng,Kasahara Eiichi,Jeremy L. Jenkins,Ulrich Hommel,John W. Davies,Meir Glick	2010	5
6	Plate-Based Diversity Selection Based on Empirical HTS Data to Enhance the Number of Hits and Their Chemical Diversity SLAS DISCOVERY ·Sai Chetan K. Sukuru,Jeremy L. Jenkins,Rohan E. J. Beckwith,Josef Scheiber,Andreas Bender,Д. А. Михайлов,John W. Davies,Meir Glick	2009	58
7	“Virtual Fragment Linking”: An Approach To Identify Potent Binders from Low Affinity Fragment Hits Journal of Medicinal Chemistry ·Thomas J. Crisman,Andreas Bender,Mariusz Milik,Jeremy L. Jenkins,Josef Scheiber,Sai Chetan K. Sukuru,Jasna Fejzo,Ulrich Hommel,John W. Davies,Meir Glick	2008	30
8	Chemogenomic Data Analysis: Prediction of Small-Molecule Targets and the Advent of Biological Fingerprints Combinatorial Chemistry & High Throughput Screening ·Andreas Bender,Daniel Young,Jeremy L. Jenkins,Martín Serrano,Д. А. Михайлов,Paul A. Clemons,John W. Davies	2007	70
9	Flexible 3D pharmacophores as descriptors of dynamic biological space Journal of Molecular Graphics and Modelling ·James H. Nettles,Jeremy L. Jenkins,Chris Williams,Alex M. Clark,Andreas Bender,Zhan Deng,John W. Davies,Meir Glick	2007	27
10	Analysis of Pharmacology Data and the Prediction of Adverse Drug Reactions and Off‐Target Effects from Chemical Structure ChemMedChem ·Andreas Bender,Josef Scheiber,Meir Glick,John W. Davies,Khalil Azzaoui,Jacques Hamon,László Urbán,Steven Whitebread,Jeremy L. Jenkins	2007	247
11	“Plate Cherry Picking”: A Novel Semi-Sequential Screening Paradigm for Cheaper, Faster, Information-Rich Compound Selection SLAS DISCOVERY ·Thomas J. Crisman,Jeremy L. Jenkins,Christian N. Parker,Росица Якимова-Ценова,Andreas Bender,Zhan Deng,James H. Nettles,John W. Davies,Meir Glick	2007	30
12	Understanding False Positives in Reporter Gene Assays: in Silico Chemogenomics Approaches To Prioritize Cell-Based HTS Data Journal of Chemical Information and Modeling ·Thomas J. Crisman,Christian N. Parker,Jeremy L. Jenkins,Josef Scheiber,Linqi Zhu,Kang Zhao,Richard Kim,Andreas Bender,James H. Nettles,John W. Davies,Meir Glick	2007	51
13	Streamlining lead discovery by aligning in silico and high-throughput screening Current Opinion in Chemical Biology ·John W. Davies,Meir Glick,Jeremy L. Jenkins	2006	55
14	Enrichment of Extremely Noisy High-Throughput Screening Data Using a Naïve Bayes Classifier SLAS DISCOVERY ·Meir Glick,Anthony E. Klon,Pierre Acklin,John W. Davies	2004	71
15	Targeting angiogenesis with a conjugate of HPMA copolymer and TNP-470 Nature Medicine ·Ronit Satchi‐Fainaro,Mark Puder,John W. Davies,Hai T. Tran,David A. Sampson,Arin K. Greene,Gabriel Corfas,Judah Folkman	2004	269
16	Application of Machine Learning To Improve the Results of High-Throughput Docking Against the HIV-1 Protease Journal of Chemical Information and Computer Sciences ·Anthony E. Klon,Meir Glick,John W. Davies	2004	32
17	A 3D Similarity Method for Scaffold Hopping from Known Drugs or Natural Ligands to New Chemotypes Journal of Medicinal Chemistry ·Jeremy L. Jenkins,Meir Glick,John W. Davies	2004	98
18	Design of Small Molecule Libraries for NMR Screening and Other Applications in Drug Discovery Current Topics in Medicinal Chemistry ·Edgar Jacoby,John W. Davies,Marcel J. J. Blommers	2002	33
19	Mapping the Melatonin Receptor. 5. Melatonin Agonists and Antagonists Derived from Tetrahydrocyclopent[b]indoles, Tetrahydrocarbazoles and Hexahydrocyclohept[b]indoles Journal of Medicinal Chemistry ·D.J.G. Davies,Peter J. Garratt,Derek A. Tocher,Stefan Vonhoff,John W. Davies,Muy‐Teck Teh,David Sugden	1998	55
20	The Discovery of Capsazepine, the First Competitive Antagonist of the Sensory Neuron Excitants Capsaicin and Resiniferatoxin Journal of Medicinal Chemistry ·Christopher Walpole,Stuart Bevan,Lu Wang,Tushar Raghuvanshi,Robin J. Breckenridge,John W. Davies,Glyn A. Hughes,Iain F. James,Lukas Oberer,Janet Winter,Roger Wrigglesworth	1994	174

About John W. Davies

John W. Davies is a scholar working on Computational Theory and Mathematics, Biophysics and Pharmacology, having authored 41 papers that have together received 3.3k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Microbial Natural Products and Biosynthesis (9 papers), Protein Structure and Dynamics (5 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Bioinformatics and Genomic Networks (5 papers), Chemical Synthesis and Analysis (4 papers), Analytical Chemistry and Chromatography (4 papers) and Cell Image Analysis Techniques (4 papers). The work is most often cited by research in Computational Theory and Mathematics (2.0k citations), Pharmacology (342 citations) and Biophysics (205 citations). John W. Davies has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent 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. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Chemical Information and Modeling, SLAS DISCOVERY, Bioconjugate Chemistry and Nature Medicine.

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