Chris Luscombe

1.7k total citations · 1 hit paper
11 papers, 1.3k citations indexed

About

Chris Luscombe is a scholar working on Computational Theory and Mathematics, Pharmaceutical Science and Organic Chemistry. According to data from OpenAlex, Chris Luscombe has authored 11 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computational Theory and Mathematics, 4 papers in Pharmaceutical Science and 2 papers in Organic Chemistry. Recurrent topics in Chris Luscombe's work include Computational Drug Discovery Methods (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Chris Luscombe is often cited by papers focused on Computational Drug Discovery Methods (5 papers), Drug Solubulity and Delivery Systems (4 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (2 papers). Chris Luscombe collaborates with scholars based in United Kingdom and United States. Chris Luscombe's co-authors include Anne Hersey, Yuan H. Zhao, Brad Sherborne, Gordon Beck, Joelle Le, Ian Cooper, Michael H. Abraham, Peter Eddershaw, James A. Platts and Lai and has published in prestigious journals such as Pharmaceutical Research, Journal of Pharmaceutical Sciences and European Journal of Medicinal Chemistry.

In The Last Decade

Chris Luscombe

11 papers receiving 1.3k citations

Hit Papers

Rate-Limited Steps of Human Oral Absorption and QSAR Studies 2002 2026 2010 2018 2002 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Luscombe United Kingdom 10 511 416 396 219 184 11 1.3k
Gordon Beck United Kingdom 7 508 1.0× 381 0.9× 463 1.2× 224 1.0× 269 1.5× 8 1.4k
Joelle Le United Kingdom 13 650 1.3× 511 1.2× 464 1.2× 486 2.2× 210 1.1× 16 1.8k
В. В. Прокопенко Germany 4 374 0.7× 490 1.2× 525 1.3× 258 1.2× 109 0.6× 4 1.4k
Izumi Nakagome Japan 17 438 0.9× 385 0.9× 542 1.4× 181 0.8× 110 0.6× 39 1.3k
Ivanka Tsakovska Bulgaria 18 240 0.5× 411 1.0× 434 1.1× 100 0.5× 149 0.8× 53 1.2k
Patrizia Crivori Italy 15 353 0.7× 670 1.6× 674 1.7× 346 1.6× 314 1.7× 27 1.6k
Sophie Martel Switzerland 21 211 0.4× 224 0.5× 578 1.5× 382 1.7× 166 0.9× 48 1.4k
Fabio Broccatelli United States 18 301 0.6× 435 1.0× 455 1.1× 198 0.9× 404 2.2× 30 1.5k
Patric Stenberg Sweden 12 258 0.5× 419 1.0× 557 1.4× 273 1.2× 329 1.8× 13 1.6k
Marina Shalaeva United States 16 243 0.5× 549 1.3× 506 1.3× 526 2.4× 208 1.1× 17 1.4k

Countries citing papers authored by Chris Luscombe

Since Specialization
Citations

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

Fields of papers citing papers by Chris Luscombe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Luscombe

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

All Works

11 of 11 papers shown
1.
Green, Darren V. S., Stephen D. Pickett, Chris Luscombe, et al.. (2019). BRADSHAW: a system for automated molecular design. Journal of Computer-Aided Molecular Design. 34(7). 747–765. 39 indexed citations
4.
Beattie, Kylie A., Chris Luscombe, J. A. Muñoz, et al.. (2013). Evaluation of an in silico cardiac safety assay: Using ion channel screening data to predict QT interval changes in the rabbit ventricular wedge. Journal of Pharmacological and Toxicological Methods. 68(1). 88–96. 51 indexed citations
5.
Zhao, Yuan H., Michael H. Abraham, Joelle Le, et al.. (2003). Evaluation of rat intestinal absorption data and correlation with human intestinal absorption. European Journal of Medicinal Chemistry. 38(3). 233–243. 71 indexed citations
6.
Luscombe, Chris, et al.. (2003). Bile Salt/Lecithin Mixed Micelles Optimized for the Solubilization of a Poorly Soluble Steroid Molecule Using Statistical Experimental Design. Drug Development and Industrial Pharmacy. 29(4). 441–450. 17 indexed citations
7.
Zhao, Yuan H., Michael H. Abraham, Anne Hersey, & Chris Luscombe. (2003). Quantitative relationship between rat intestinal absorption and Abraham descriptors. European Journal of Medicinal Chemistry. 38(11-12). 939–947. 34 indexed citations
8.
9.
Zhao, Yuan H., Michael H. Abraham, Joelle Le, et al.. (2002). Rate-Limited Steps of Human Oral Absorption and QSAR Studies. Pharmaceutical Research. 19(10). 1446–1457. 621 indexed citations breakdown →
10.
Zhao, Yuan H., Joelle Le, Michael H. Abraham, et al.. (2001). Evaluation of human intestinal absorption data and subsequent derivation of a quantitative structure–activity relationship (QSAR) with the Abraham descriptors. Journal of Pharmaceutical Sciences. 90(6). 749–784. 411 indexed citations
11.
Owen, Martin, et al.. (2001). Efficiency by Design:  Optimisation in Process Research. Organic Process Research & Development. 5(3). 308–323. 55 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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