Christopher N. Luscombe

1.2k total citations
13 papers, 815 citations indexed

About

Christopher N. Luscombe is a scholar working on Spectroscopy, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Christopher N. Luscombe has authored 13 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Spectroscopy, 6 papers in Computational Theory and Mathematics and 4 papers in Molecular Biology. Recurrent topics in Christopher N. Luscombe's work include Analytical Chemistry and Chromatography (7 papers), Computational Drug Discovery Methods (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Christopher N. Luscombe is often cited by papers focused on Analytical Chemistry and Chromatography (7 papers), Computational Drug Discovery Methods (6 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Christopher N. Luscombe collaborates with scholars based in United Kingdom, Italy and Ireland. Christopher N. Luscombe's co-authors include Simon J. F. Macdonald, Robert J. Young, Timothy J. Ritchie, Stephen D. Pickett, Darren V. S. Green, Alan P. Hill, Simon Peace, Anthony W. J. Cooper, Yanyan Zhang and Scott Summerfield and has published in prestigious journals such as Journal of Medicinal Chemistry, Analytica Chimica Acta and Drug Discovery Today.

In The Last Decade

Christopher N. Luscombe

13 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher N. Luscombe United Kingdom 12 319 316 262 136 82 13 815
Alan P. Hill United Kingdom 10 218 0.7× 291 0.9× 241 0.9× 246 1.8× 86 1.0× 12 805
Suresh Babu Mekapati United States 14 324 1.0× 237 0.8× 242 0.9× 92 0.7× 56 0.7× 21 640
Matthew D. Wessel United States 11 357 1.1× 175 0.6× 217 0.8× 214 1.6× 32 0.4× 11 680
Jay T. Goodwin United States 16 163 0.5× 525 1.7× 215 0.8× 120 0.9× 55 0.7× 27 955
Nicola Colclough United Kingdom 18 255 0.8× 555 1.8× 219 0.8× 77 0.6× 98 1.2× 36 965
Remigijus Didžiapetris Lithuania 16 317 1.0× 286 0.9× 97 0.4× 132 1.0× 96 1.2× 25 726
Alanas Petrauskas Lithuania 11 241 0.8× 211 0.7× 97 0.4× 123 0.9× 49 0.6× 13 573
Nicholas M. Bonham Sweden 4 154 0.5× 237 0.8× 150 0.6× 116 0.9× 65 0.8× 5 618
Steven M. Muskal United States 9 437 1.4× 531 1.7× 87 0.3× 146 1.1× 57 0.7× 16 820
Prajwal P. Nandekar India 17 174 0.5× 339 1.1× 133 0.5× 59 0.4× 148 1.8× 33 690

Countries citing papers authored by Christopher N. Luscombe

Since Specialization
Citations

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

Fields of papers citing papers by Christopher N. Luscombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher N. Luscombe. 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 Christopher N. Luscombe. The network helps show where Christopher N. Luscombe may publish in the future.

Co-authorship network of co-authors of Christopher N. Luscombe

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

All Works

13 of 13 papers shown
1.
Luscombe, Christopher N., et al.. (2019). Using Physicochemical Measurements to Influence Better Compound Design. SLAS DISCOVERY. 24(8). 791–801. 39 indexed citations
2.
Zhang, Yanyan, Houfu Liu, Scott Summerfield, Christopher N. Luscombe, & Jasminder Sahi. (2016). Integrating in Silico and in Vitro Approaches To Predict Drug Accessibility to the Central Nervous System. Molecular Pharmaceutics. 13(5). 1540–1550. 40 indexed citations
3.
Amour, Augustin, Anthony W. J. Cooper, Graham G. A. Inglis, et al.. (2016). Evolution of a Novel, Orally Bioavailable Series of PI3Kδ Inhibitors from an Inhaled Lead for the Treatment of Respiratory Disease. Journal of Medicinal Chemistry. 59(15). 7239–7251. 21 indexed citations
4.
Ritchie, Timothy J., Simon J. F. Macdonald, Simon Peace, Stephen D. Pickett, & Christopher N. Luscombe. (2013). Increasing small molecule drug developability in sub-optimal chemical space. MedChemComm. 4(4). 673–673. 81 indexed citations
5.
Cox, Richard, et al.. (2013). QSAR workbench: automating QSAR modeling to drive compound design. Journal of Computer-Aided Molecular Design. 27(4). 321–336. 32 indexed citations
6.
Ritchie, Timothy J., Simon J. F. Macdonald, Simon Peace, Stephen D. Pickett, & Christopher N. Luscombe. (2012). The developability of heteroaromatic and heteroaliphatic rings – do some have a better pedigree as potential drug molecules than others?. MedChemComm. 3(9). 1062–1062. 144 indexed citations
7.
Young, Robert J., Darren V. S. Green, Christopher N. Luscombe, & Alan P. Hill. (2011). Getting physical in drug discovery II: the impact of chromatographic hydrophobicity measurements and aromaticity. Drug Discovery Today. 16(17-18). 822–830. 208 indexed citations
8.
Papadatos, George, Valerie J. Gillet, Peter Willett, et al.. (2010). Lead Optimization Using Matched Molecular Pairs: Inclusion of Contextual Information for Enhanced Prediction of hERG Inhibition, Solubility, and Lipophilicity. Journal of Chemical Information and Modeling. 50(10). 1872–1886. 96 indexed citations
9.
Ritchie, Timothy J., Christopher N. Luscombe, & Simon J. F. Macdonald. (2009). Analysis of the Calculated Physicochemical Properties of Respiratory Drugs: Can We Design for Inhaled Drugs Yet?. Journal of Chemical Information and Modeling. 49(4). 1025–1032. 51 indexed citations
10.
Fornal, Emilia, Phil J. Borman, & Christopher N. Luscombe. (2006). Determination of selectivity differences for basic compounds in gradient reverse phase high performance liquid chromatography under high pH conditions by partial least squares modelling. Analytica Chimica Acta. 570(2). 267–276. 8 indexed citations
11.
Abraham, Michael H., Yuan H. Zhao, Joelle Le, et al.. (2002). On the mechanism of human intestinal absorption. European Journal of Medicinal Chemistry. 37(7). 595–605. 67 indexed citations
12.
Luscombe, Christopher N., et al.. (1998). Mass median particle size determination of an active compound in a binary mixture using near-infrared spectroscopy. Analytical Communications. 35(4). 133–134. 11 indexed citations
13.
Altria, Kevin D., et al.. (1995). Trace analysis of detergent residues by capillary electrophoresis. Chromatographia. 40(9-10). 527–531. 17 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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