David A. Thorner

445 total citations
12 papers, 305 citations indexed

About

David A. Thorner is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, David A. Thorner has authored 12 papers receiving a total of 305 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Theory and Mathematics, 6 papers in Molecular Biology and 6 papers in Spectroscopy. Recurrent topics in David A. Thorner's work include Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (5 papers) and Machine Learning in Materials Science (4 papers). David A. Thorner is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Analytical Chemistry and Chromatography (5 papers) and Machine Learning in Materials Science (4 papers). David A. Thorner collaborates with scholars based in United Kingdom and United States. David A. Thorner's co-authors include Peter Willett, Richard A. Lewis, Michael J. Bodkin, David A. Evans, Thompson N. Doman, Valerie J. Gillet, David Wild, Rajendra Kristam, John F. J. Todd and Richard Smith and has published in prestigious journals such as Bioinformatics, Journal of Chemical Information and Modeling and Rapid Communications in Mass Spectrometry.

In The Last Decade

David A. Thorner

12 papers receiving 281 citations

Peers

David A. Thorner
Tony Kennedy United States
Brian Mattioni United States
Hugo Kubinyi United States
David A. Thorner
Citations per year, relative to David A. Thorner David A. Thorner (= 1×) peers Ferenc Csizmadia

Countries citing papers authored by David A. Thorner

Since Specialization
Citations

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

Fields of papers citing papers by David A. Thorner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Thorner. 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 David A. Thorner. The network helps show where David A. Thorner may publish in the future.

Co-authorship network of co-authors of David A. Thorner

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

All Works

12 of 12 papers shown
1.
Fechner, Nikolas, George Papadatos, David Evans, et al.. (2012). ChEMBLSpace—a graphical explorer of the chemogenomic space covered by the ChEMBL database. Bioinformatics. 29(4). 523–524. 9 indexed citations
2.
Evans, David A., Thompson N. Doman, David A. Thorner, & Michael J. Bodkin. (2007). 3D QSAR Methods:  Phase and Catalyst Compared. Journal of Chemical Information and Modeling. 47(3). 1248–1257. 61 indexed citations
3.
Evans, David A., Thompson N. Doman, David A. Thorner, & Michael J. Bodkin. (2007). 3D QSAR Methods: Phase and Catalyst Compared.. ChemInform. 38(34). 1 indexed citations
4.
Kristam, Rajendra, Valerie J. Gillet, Richard A. Lewis, & David A. Thorner. (2005). Comparison of Conformational Analysis Techniques To Generate Pharmacophore Hypotheses Using Catalyst. Journal of Chemical Information and Modeling. 45(2). 461–476. 61 indexed citations
5.
Ekins, Sean, Gregory L. Durst, Robert E. Stratford, et al.. (2001). Three-Dimensional Quantitative Structure-Permeability Relationship Analysis for a Series of Inhibitors of Rhinovirus Replication. Journal of Chemical Information and Computer Sciences. 41(6). 1578–1586. 31 indexed citations
6.
Thorner, David A.. (1998). . Perspectives in Drug Discovery and Design. 9/11(0). 301–320. 2 indexed citations
7.
Thorner, David A., et al.. (1997). Similarity searching in files of three-dimensional chemical structures: Representation and searching of molecular electrostatic potentials using field-graphs. Journal of Computer-Aided Molecular Design. 11(2). 163–174. 32 indexed citations
8.
Thorner, David A., et al.. (1996). Similarity Searching in Files of Three-Dimensional Chemical Structures:  Flexible Field-Based Searching of Molecular Electrostatic Potentials. Journal of Chemical Information and Computer Sciences. 36(4). 900–908. 49 indexed citations
9.
Clarke, Nigel J., et al.. (1995). Automation of data acquisition and processing involving dynamically programmed scanning for a quadrupole ion trap mass spectrometer. Rapid Communications in Mass Spectrometry. 9(9). 723–730. 2 indexed citations
10.
Artymiuk, Peter J., Peter A. Bath, Helen M. Grindley, et al.. (1992). Similarity searching in databases of three-dimensional molecules and macromolecules. Journal of Chemical Information and Computer Sciences. 32(6). 617–630. 22 indexed citations
11.
Penman, Andrew D., John F. J. Todd, David A. Thorner, & Richard Smith. (1990). A detailed study of the characteristics of the ion‐trap mass spectrometer using dynamically programmed scans. Rapid Communications in Mass Spectrometry. 4(10). 415–417. 12 indexed citations
12.
Todd, John F. J., Andrew D. Penman, David A. Thorner, & Richard Smith. (1990). The use of dynamically programmed scans to generate parent‐ion tandem mass spectra with the ion‐trap mass spectrometer. Rapid Communications in Mass Spectrometry. 4(4). 108–113. 23 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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