David E. Leahy

3.7k total citations · 2 hit papers
44 papers, 2.5k citations indexed

About

David E. Leahy is a scholar working on Spectroscopy, Molecular Biology and Organic Chemistry. According to data from OpenAlex, David E. Leahy has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Spectroscopy, 13 papers in Molecular Biology and 12 papers in Organic Chemistry. Recurrent topics in David E. Leahy's work include Analytical Chemistry and Chromatography (14 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Computational Drug Discovery Methods (8 papers). David E. Leahy is often cited by papers focused on Analytical Chemistry and Chromatography (14 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Computational Drug Discovery Methods (8 papers). David E. Leahy collaborates with scholars based in United Kingdom, United States and Netherlands. David E. Leahy's co-authors include Malcolm Rowland, Trudy Rodgers, Damjan Krstajić, Ljubomir Buturović, Simon Thomas, Dominic P. Searson, Mark J. Willis, Peter J. Taylor, Jeffrey J. Morris and Alan R. Katritzky and has published in prestigious journals such as The Journal of Organic Chemistry, Tetrahedron and International Journal of Pharmaceutics.

In The Last Decade

David E. Leahy

44 papers receiving 2.4k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cross-validation pitfalls when selecting and assessing regression and classification models

2014 701 citations Damjan Krstajić, Ljubomir Buturović et al. Journal of Cheminformatics profile →
Physiologically Based Pharmacokinetic Modeling 1: Predicting the Tissue Distribution of Moderate-to-Strong Bases

2005 613 citations Trudy Rodgers, David E. Leahy et al. Journal of Pharmaceutical Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David E. Leahy United Kingdom	18	467	464	425	412	338	44	2.5k
Richard A. Thompson United States	35	323 0.7×	580 1.3×	810 1.9×	165 0.4×	219 0.6×	157	4.4k
Frédéric Y. Bois France	43	590 1.3×	1.6k 3.5×	242 0.6×	359 0.9×	496 1.5×	217	6.0k
Kannan Krishnan Canada	38	519 1.1×	399 0.9×	357 0.8×	161 0.4×	553 1.6×	143	4.3k
Volker Fischer United States	29	1.4k 2.9×	694 1.5×	221 0.5×	1.1k 2.7×	290 0.9×	88	3.5k
Eric Gifford United States	14	397 0.9×	898 1.9×	345 0.8×	210 0.5×	1.2k 3.6×	22	2.3k
Christopher J. Portier United States	42	373 0.8×	1.3k 2.7×	123 0.3×	294 0.7×	365 1.1×	208	7.6k
Kenneth B. Bischoff United States	31	297 0.6×	517 1.1×	267 0.6×	237 0.6×	242 0.7×	78	5.9k
Michael Weiß Germany	26	392 0.8×	505 1.1×	206 0.5×	530 1.3×	93 0.3×	129	2.8k
Hong Fang United States	40	747 1.6×	2.0k 4.3×	290 0.7×	268 0.7×	1.6k 4.6×	83	4.8k
Panos Macheras Greece	36	272 0.6×	816 1.8×	761 1.8×	349 0.8×	236 0.7×	145	4.9k

Countries citing papers authored by David E. Leahy

Since Specialization

Citations

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

Fields of papers citing papers by David E. Leahy

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David E. Leahy

This figure shows the co-authorship network connecting the top 25 collaborators of David E. Leahy. A scholar is included among the top collaborators of David E. Leahy 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 E. Leahy. David E. Leahy 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

Leahy, David E., et al.. (2019). Integrated Use of 3D Modelling tools and Virtual Reality to facilitate Design. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Krstajić, Damjan, Ljubomir Buturović, David E. Leahy, & Simon Thomas. (2014). Cross-validation pitfalls when selecting and assessing regression and classification models. Journal of Cheminformatics. 6(1). 10–10. 701 indexed citations breakdown →

Watson, Paul, David E. Leahy, Jacek Cała, et al.. (2011). Cloud Computing for Chemical Activity Prediction. School of Computing Science Technical Report Series. 1 indexed citations

Watson, Paul, Hugo Hiden, Simon Woodman, et al.. (2011). The panel of experts cloud pattern. University of Birmingham Research Portal (University of Birmingham). 23–24. 3 indexed citations

Searson, Dominic P., David E. Leahy, & Mark J. Willis. (2010). GPTIPS: An Open Source Genetic Programming Toolbox For Multigene Symbolic Regression. International MultiConference of Engineers and Computer Scientists. 258 indexed citations

Rodgers, Trudy, David E. Leahy, & Malcolm Rowland. (2007). Rodgers T, Leahy D, Rowland M. 2005. Physiologically based pharmacokinetic modeling 1: Predicting the tissue distribution of moderate‐to‐strong bases. J Pharm Sci 94:1259–1276.. Journal of Pharmaceutical Sciences. 96(11). 3151–3152. 8 indexed citations

Leahy, David E.. (2006). IntegratinginvitroADMET data through generic physiologically based pharmacokinetic models. Expert Opinion on Drug Metabolism & Toxicology. 2(4). 619–628. 49 indexed citations

Enoch, Steven J., et al.. (2005). Automated QSPR through Competitive Workflow. Journal of Computer-Aided Molecular Design. 19(11). 821–833. 39 indexed citations

Rodgers, Trudy, David E. Leahy, & Malcolm Rowland. (2005). Physiologically Based Pharmacokinetic Modeling 1: Predicting the Tissue Distribution of Moderate-to-Strong Bases. Journal of Pharmaceutical Sciences. 94(6). 1259–1276. 613 indexed citations breakdown →

10.

Brightman, Frances A., et al.. (2005). APPLICATION OF A GENERIC PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL TO THE ESTIMATION OF XENOBIOTIC LEVELS IN HUMAN PLASMA. Drug Metabolism and Disposition. 34(1). 94–101. 37 indexed citations

11.

Brightman, Frances A., et al.. (2005). APPLICATION OF A GENERIC PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL TO THE ESTIMATION OF XENOBIOTIC LEVELS IN RAT PLASMA. Drug Metabolism and Disposition. 34(1). 84–93. 49 indexed citations

12.

Rodgers, Trudy, David E. Leahy, & Malcolm Rowland. (2005). Tissue Distribution of Basic Drugs: Accounting for Enantiomeric, Compound and Regional Differences Amongst β-Blocking Drugs in Rat. Journal of Pharmaceutical Sciences. 94(6). 1237–1248. 102 indexed citations

13.

Ballard, Peter, David E. Leahy, & Malcolm Rowland. (2003). Prediction of in Vivo Tissue Distribution from in Vitro Data. 2. Correlation Between in Vitro and in Vivo Tissue Distribution of a Homologous Series of Nine 5-n-Alkyl-5-Ethyl Barbituric Acids. Pharmaceutical Research. 20(6). 864–872. 15 indexed citations

14.

Ballard, Peter, et al.. (2003). Prediction of in Vivo Tissue Distribution from in Vitro Data. 2. Influence of Albumin Diffusion from Tissue Pieces During an in Vitro Incubation on Estimated Tissue-to-Unbound Plasma Partition Coefficients (Kpu). Pharmaceutical Research. 20(6). 857–863. 7 indexed citations

15.

Ballard, Peter, David E. Leahy, & Malcolm Rowland. (2000). Prediction of in vivo tissue distribution from in vitro data 1. Experiments with markers of aqueous spaces.. Pharmaceutical Research. 17(6). 660–663. 22 indexed citations

16.

Blakey, Graham, Peter Ballard, David E. Leahy, & Malcolm Rowland. (1999). Development of an assay for the extraction and quantification of nine 5-n-alkyl-5-ethyl barbituric acids in various rat tissues. Journal of Pharmaceutical and Biomedical Analysis. 18(6). 927–938. 3 indexed citations

17.

Leahy, David E., et al.. (1994). Estimation of sieving coefficients of convective absorption of drugs in perfused rat jejunum. Journal of Pharmacokinetics and Biopharmaceutics. 22(5). 411–429. 15 indexed citations

18.

Simpson, Robert J., et al.. (1993). Partition and distribution coefficients of solutes and drugs in brush border membrane vesicles. Biochemical Pharmacology. 45(9). 1775–1782. 29 indexed citations

19.

Simpson, Robert J., et al.. (1991). In vitro studies of intestinal drug absorption. Biochemical Pharmacology. 42(12). 2259–2264. 16 indexed citations

20.

Simpson, Robert J., et al.. (1989). Use of Isolated Intestinal Brush Border Membrane Vesicles as a Model for Membrane Partitioning of Drugs. Clinical Science. 76(s20). 42P–42P. 1 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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