Adrian Dunne

1.6k total citations
43 papers, 1.3k citations indexed

About

Adrian Dunne is a scholar working on Statistics and Probability, Pharmaceutical Science and Materials Chemistry. According to data from OpenAlex, Adrian Dunne has authored 43 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 11 papers in Pharmaceutical Science and 8 papers in Materials Chemistry. Recurrent topics in Adrian Dunne's work include Statistical Methods in Clinical Trials (14 papers), Drug Solubulity and Delivery Systems (11 papers) and Crystallization and Solubility Studies (8 papers). Adrian Dunne is often cited by papers focused on Statistical Methods in Clinical Trials (14 papers), Drug Solubulity and Delivery Systems (11 papers) and Crystallization and Solubility Studies (8 papers). Adrian Dunne collaborates with scholars based in Ireland, United States and United Kingdom. Adrian Dunne's co-authors include Mats O. Karlsson, Jae Eun Ahn, Thomas M. Ludden, John Devane, Tom O’Hara, Mary Ward, Helene McNulty, John M. Scott, Anne M. Molloy and JJ Strain and has published in prestigious journals such as Circulation, Journal of the American Statistical Association and American Journal of Clinical Nutrition.

In The Last Decade

Adrian Dunne

43 papers receiving 1.2k citations

Peers

Adrian Dunne
Thomas Kerbusch Netherlands
Joachim Grevel United States
K.C. Kwan United States
Kayode Ogungbenro United Kingdom
Jeffry Florian United States
Adrian Dunne
Citations per year, relative to Adrian Dunne Adrian Dunne (= 1×) peers Martin Bergstrand

Countries citing papers authored by Adrian Dunne

Since Specialization
Citations

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

Fields of papers citing papers by Adrian Dunne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrian Dunne

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

All Works

20 of 20 papers shown
1.
Winter, Willem de, Adrian Dunne, Damayanthi Devineni, et al.. (2016). Dynamic population pharmacokinetic–pharmacodynamic modelling and simulation supports similar efficacy in glycosylated haemoglobin response with once or twice‐daily dosing of canagliflozin. British Journal of Clinical Pharmacology. 83(5). 1072–1081. 5 indexed citations
2.
Dunne, Adrian, et al.. (2015). The method of averaging applied to pharmacokinetic/pharmacodynamic indirect response models. Journal of Pharmacokinetics and Pharmacodynamics. 42(4). 417–426. 1 indexed citations
3.
Hoeben, Eef, et al.. (2015). Population Pharmacokinetic Modeling of Canagliflozin in Healthy Volunteers and Patients with Type 2 Diabetes Mellitus. Clinical Pharmacokinetics. 55(2). 209–223. 29 indexed citations
4.
Samtani, Mahesh N., Xu Steven Xu, Adrian Dunne, et al.. (2013). Modeling continuous bounded outcome scores using beta regression with NONMEM (R) VII. Journal of Pharmacokinetics and Pharmacodynamics. 40. 1 indexed citations
5.
Xu, Xu Steven, Mahesh N. Samtani, Adrian Dunne, et al.. (2013). Mixed-effects beta regression for modeling continuous bounded outcome scores using NONMEM when data are not on the boundaries. Journal of Pharmacokinetics and Pharmacodynamics. 40(4). 537–544. 17 indexed citations
6.
Xu, Xu Steven, Min Yuan, Mats O. Karlsson, et al.. (2012). Shrinkage in Nonlinear Mixed-Effects Population Models: Quantification, Influencing Factors, and Impact. The AAPS Journal. 14(4). 927–936. 38 indexed citations
7.
Rossenu, Stefaan, et al.. (2011). A time scaling approach to develop an in vitro–in vivo correlation (IVIVC) model using a convolution-based technique. Journal of Pharmacokinetics and Pharmacodynamics. 38(5). 519–539. 10 indexed citations
8.
Dunne, Adrian, et al.. (2011). A population approach to in vitro–in vivo correlation modelling for compounds with nonlinear kinetics. Journal of Pharmacokinetics and Pharmacodynamics. 38(3). 317–332. 8 indexed citations
9.
Xu, Xu Steven, Adrian Dunne, Holly Kimko, Partha Nandy, & An Vermeulen. (2011). Impact of low percentage of data below the quantification limit on parameter estimates of pharmacokinetic models. Journal of Pharmacokinetics and Pharmacodynamics. 38(4). 423–432. 32 indexed citations
10.
Dunne, Adrian, Mila Etropolski, An Vermeulen, & Partha Nandy. (2011). On Average: Data Exploration Based on Means Can Be Misleading. The AAPS Journal. 14(1). 60–67. 2 indexed citations
11.
Ward, Mary, Helene McNulty, Adrian Dunne, et al.. (2010). A dose-finding trial of the effect of long-term folic acid intervention: implications for food fortification policy. American Journal of Clinical Nutrition. 93(1). 11–18. 46 indexed citations
12.
Dunne, Adrian, et al.. (2009). The Effects of Averaging on Accuracy of IVIVC Model Predictions. Journal of Pharmaceutical Sciences. 98(10). 3829–3838. 6 indexed citations
13.
Hoey, Leane, Helene McNulty, Adrian Dunne, et al.. (2007). Effect of a voluntary food fortification policy on folate, related B vitamin status, and homocysteine in healthy adults. American Journal of Clinical Nutrition. 86(5). 1405–1413. 76 indexed citations
14.
Dunne, Adrian, et al.. (2007). A Comparison of the Prediction Accuracy of Two IVIVC Modelling Techniques. Journal of Pharmaceutical Sciences. 97(8). 3422–3432. 30 indexed citations
15.
Moorhead, S. Anne, M. Barbara E. Livingstone, Adrian Dunne, & Robert Welch. (2007). The level of carbonation of a sugar-sweetened beverage preload affects satiety and short-term energy and food intakes. British Journal Of Nutrition. 99(6). 1362–1369. 16 indexed citations
16.
Moorhead, S. Anne, et al.. (2006). The effects of the fibre content and physical structure of carrots on satiety and subsequent intakes when eaten as part of a mixed meal. British Journal Of Nutrition. 96(3). 587–595. 39 indexed citations
17.
Murphy, V. & Adrian Dunne. (2005). Mixed Effects versus Fixed Effects Modelling of Binary Data with Inter-subject Variability. Journal of Pharmacokinetics and Pharmacodynamics. 32(2). 245–260. 13 indexed citations
18.
Dunne, Adrian, et al.. (2004). Interpretation and Optimization of the Dissolution Specifications for a Modified Release Product with an In Vivo–In Vitro Correlation (IVIVC). Journal of Pharmaceutical Sciences. 93(3). 571–581. 14 indexed citations
19.
Dunne, Adrian, et al.. (1997). Approaches to IVIVR Modelling and Statistical Analysis. Advances in experimental medicine and biology. 423. 67–86. 9 indexed citations
20.
Dunne, Adrian. (1995). Decision and detection limits for linear homoscedastic assays. Statistics in Medicine. 14(18). 1949–1959. 7 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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