André J. Jackson

1.1k total citations
46 papers, 800 citations indexed

About

André J. Jackson is a scholar working on Statistics and Probability, Pharmacology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, André J. Jackson has authored 46 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Statistics and Probability, 11 papers in Pharmacology and 10 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in André J. Jackson's work include Statistical Methods in Clinical Trials (21 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Pharmaceutical studies and practices (9 papers). André J. Jackson is often cited by papers focused on Statistical Methods in Clinical Trials (21 papers), Pharmacogenetics and Drug Metabolism (11 papers) and Pharmaceutical studies and practices (9 papers). André J. Jackson collaborates with scholars based in United States, Thailand and Australia. André J. Jackson's co-authors include Morris Pfeffer, Edward R. Garrett, Meiling Chen, Herbert Schumacher, Ahmed El‐Tahtawy, Thomas M. Ludden, Mukund S. Didolkar, Mei‐Ling Chen, Richard G. Adams and Marilyn N. Martinez and has published in prestigious journals such as PLoS ONE, Analytical Chemistry and Cancer.

In The Last Decade

André J. Jackson

45 papers receiving 752 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
André J. Jackson United States 19 213 165 142 122 106 46 800
L.F. Lacey United Kingdom 19 126 0.6× 127 0.8× 133 0.9× 99 0.8× 249 2.3× 36 1.5k
Sam Haidar United States 14 265 1.2× 54 0.3× 274 1.9× 104 0.9× 148 1.4× 21 972
Ramana Uppoor United States 12 90 0.4× 57 0.3× 185 1.3× 89 0.7× 107 1.0× 26 531
William H. Barr United States 24 177 0.8× 274 1.7× 341 2.4× 233 1.9× 422 4.0× 60 1.7k
Keith K. H. Chan United States 22 42 0.2× 220 1.3× 123 0.9× 116 1.0× 180 1.7× 63 1.2k
A. Van Peer Belgium 18 32 0.2× 209 1.3× 194 1.4× 212 1.7× 171 1.6× 37 1.4k
Toshinobu Aoyama Japan 17 42 0.2× 106 0.6× 335 2.4× 79 0.6× 115 1.1× 81 837
Eleftheria Tsakalozou United States 17 53 0.2× 76 0.5× 92 0.6× 76 0.6× 269 2.5× 47 763
Jennifer E. Sager United States 10 45 0.2× 120 0.7× 149 1.0× 325 2.7× 54 0.5× 19 826
Nigel S. Baber United Kingdom 6 31 0.1× 85 0.5× 117 0.8× 78 0.6× 36 0.3× 16 912

Countries citing papers authored by André J. Jackson

Since Specialization
Citations

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

Fields of papers citing papers by André J. Jackson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by André J. Jackson. 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 André J. Jackson. The network helps show where André J. Jackson may publish in the future.

Co-authorship network of co-authors of André J. Jackson

This figure shows the co-authorship network connecting the top 25 collaborators of André J. Jackson. A scholar is included among the top collaborators of André J. Jackson 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 André J. Jackson. André J. Jackson 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.
Zhang, Jing, Mitchell Mathis, André J. Jackson, et al.. (2014). The US Food and Drug Administration’s Perspective on the New Antidepressant Vortioxetine. The Journal of Clinical Psychiatry. 76(1). 8–14. 26 indexed citations
2.
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Jackson, André J.. (2013). Impact of Release Mechanism on the Pharmacokinetic Performance of PAUC Metrics for Three Methylphenidate Products with Complex Absorption. Pharmaceutical Research. 31(1). 173–181. 7 indexed citations
4.
El‐Tahtawy, Ahmed, et al.. (2012). Bioequivalence of Long Half-Life Drugs—Informative Sampling Determination—Using Truncated Area in Parallel-Designed Studies for Slow Sustained-Release Formulations. Journal of Pharmaceutical Sciences. 101(11). 4337–4346. 4 indexed citations
5.
Jackson, André J., et al.. (2012). Individualized, discrete event, simulations provide insight into inter- and intra-subject variability of extended-release, drug products. Theoretical Biology and Medical Modelling. 9(1). 39–39. 5 indexed citations
6.
Zirkelbach, Jeanne Fourie, André J. Jackson, Yaning Wang, & Donald J. Schuirmann. (2012). Use of Partial AUC (PAUC) to Evaluate Bioequivalence—A Case Study with Complex Absorption: Methylphenidate. Pharmaceutical Research. 30(1). 191–202. 12 indexed citations
7.
Duan, John, André J. Jackson, & Ping Zhao. (2010). Bioavailability Considerations in Evaluating Drug‐Drug Interactions Using the Population Pharmacokinetic Approach. The Journal of Clinical Pharmacology. 51(7). 1087–1100. 8 indexed citations
8.
Jackson, André J., et al.. (2009). Role of metabolites for drugs that undergo nonlinear first-pass effect: Impact on bioequivalency assessment using single-dose simulations. Journal of Pharmaceutical Sciences. 99(1). 515–523. 4 indexed citations
9.
Jackson, André J., Gabriel J. Robbie, & Patrick Marroum. (2004). Metabolites and Bioequivalence. Clinical Pharmacokinetics. 43(10). 655–672. 27 indexed citations
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Jackson, André J.. (2001). Evaluation of a limited sampling method used to determine the bioequivalence of highly variable drugs with long half‐lives. Biopharmaceutics & Drug Disposition. 22(5). 179–190. 4 indexed citations
12.
Jackson, André J.. (2000). The Role of Metabolites in Bioequivalency Assessment. III. Highly Variable Drugs with Linear Kinetics and First-Pass Effect. Pharmaceutical Research. 17(11). 1432–1436. 17 indexed citations
13.
14.
Jackson, André J.. (1998). Evaluation of a Cmin and a Normalized Cmin Method for the Confirmation of Steady-State in Bioequivalence Studies. Pharmaceutical Research. 15(7). 1077–1084. 2 indexed citations
15.
El‐Tahtawy, Ahmed, André J. Jackson, & Thomas M. Ludden. (1995). Evaluation of bioequivalence of highly variable drugs using Monte Carlo simulations. I. Estimation of rate of absorption for single and multiple dose trials using Cmax.. Pharmaceutical Research. 12(11). 1634–1641. 25 indexed citations
16.
Jackson, André J.. (1992). Inappropriate inclusion of non‐quantifiable plasma concentrations in the estimation of extent of absorption. Biopharmaceutics & Drug Disposition. 13(8). 629–634. 2 indexed citations
17.
18.
Jackson, André J. & Loren A. Zech. (1991). Easy and Practical Utilization of CONSAM for Simulation, Analysis, and Optimization of Complex Dosing Regimens. Journal of Pharmaceutical Sciences. 80(4). 317–320. 4 indexed citations
19.
Jackson, André J.. (1989). Prediction of steady state bioequivalence relationships using single dose data II‐nonlinear kinetics. Biopharmaceutics & Drug Disposition. 10(5). 489–503. 9 indexed citations
20.
Jackson, André J.. (1987). Prediction of steady‐state bioequivalence relationships using single dose data I‐linear kinetics. Biopharmaceutics & Drug Disposition. 8(5). 483–496. 25 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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