Teun M. Post

746 total citations
18 papers, 551 citations indexed

About

Teun M. Post is a scholar working on Molecular Biology, Statistics and Probability and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Teun M. Post has authored 18 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Statistics and Probability and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Teun M. Post's work include Pharmacological Effects and Toxicity Studies (3 papers), Statistical Methods in Clinical Trials (3 papers) and Bone health and osteoporosis research (3 papers). Teun M. Post is often cited by papers focused on Pharmacological Effects and Toxicity Studies (3 papers), Statistical Methods in Clinical Trials (3 papers) and Bone health and osteoporosis research (3 papers). Teun M. Post collaborates with scholars based in Netherlands, United States and Germany. Teun M. Post's co-authors include Meindert Danhof, Jan Freijer, Bart A. Ploeger, Joost DeJongh, Thomas Kerbusch, Richard Urquhart, Willem de Winter, Ian K. Moules, Serge C.L.M. Cremers and Stephan Schmidt and has published in prestigious journals such as Pharmaceutical Research, Clinical Pharmacokinetics and Bulletin of Mathematical Biology.

In The Last Decade

Teun M. Post

18 papers receiving 542 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Teun M. Post Netherlands 9 158 110 74 69 64 18 551
Annpey Pong United States 14 184 1.2× 364 3.3× 35 0.5× 176 2.6× 87 1.4× 56 791
Jessica Delaney United States 13 278 1.8× 71 0.6× 31 0.4× 72 1.0× 69 1.1× 23 952
Shashi Amur United States 17 221 1.4× 26 0.2× 106 1.4× 85 1.2× 84 1.3× 25 999
Maria C. Kjellsson Sweden 14 149 0.9× 105 1.0× 65 0.9× 98 1.4× 85 1.3× 54 556
W J Jusko United States 14 194 1.2× 92 0.8× 102 1.4× 40 0.6× 36 0.6× 29 773
William J. Jusko United States 13 190 1.2× 92 0.8× 90 1.2× 59 0.9× 19 0.3× 17 607
R L Lalonde United States 8 150 0.9× 27 0.2× 52 0.7× 33 0.5× 226 3.5× 10 668
D. M. Burley Switzerland 8 119 0.8× 132 1.2× 56 0.8× 59 0.9× 9 0.1× 16 634
G Pabst Germany 12 77 0.5× 35 0.3× 92 1.2× 59 0.9× 41 0.6× 48 596
Evgeny Krynetskiy United States 16 245 1.6× 22 0.2× 83 1.1× 100 1.4× 6 0.1× 36 729

Countries citing papers authored by Teun M. Post

Since Specialization
Citations

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

Fields of papers citing papers by Teun M. Post

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Teun M. Post. 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 Teun M. Post. The network helps show where Teun M. Post may publish in the future.

Co-authorship network of co-authors of Teun M. Post

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

All Works

18 of 18 papers shown
1.
2.
Berg, Paul van den, Wei Gao, Maurice J. Ahsman, et al.. (2021). Understanding effect site pharmacology of uprifosbuvir, a hepatitis C virus nucleoside inhibitor: Case study of a multidisciplinary modeling approach in drug development. CPT Pharmacometrics & Systems Pharmacology. 10(7). 658–670. 1 indexed citations
3.
Post, Teun M., et al.. (2020). A population pharmacokinetics analysis assessing the exposure of raltegravir once‐daily 1200 mg in pregnant women living with HIV. CPT Pharmacometrics & Systems Pharmacology. 10(2). 161–172. 4 indexed citations
4.
Wilkins, Justin, Teun M. Post, Rik C. Schoemaker, et al.. (2019). Nonlinear Mixed‐Effects Model Development and Simulation Using nlmixr and Related R Open‐Source Packages. CPT Pharmacometrics & Systems Pharmacology. 8(9). 621–633. 44 indexed citations
5.
Schoemaker, Rik C., Christian Laveille, Justin Wilkins, et al.. (2019). Performance of the SAEM and FOCEI Algorithms in the Open‐Source, Nonlinear Mixed Effect Modeling Tool nlmixr. CPT Pharmacometrics & Systems Pharmacology. 8(12). 923–930. 10 indexed citations
6.
Trame, Mirjam N., Matthew M. Riggs, Konstantinos Biliouris, et al.. (2018). Perspective on the State of Pharmacometrics and Systems Pharmacology Integration. CPT Pharmacometrics & Systems Pharmacology. 7(10). 617–620. 7 indexed citations
7.
Post, Teun M., et al.. (2017). Frequency‐Domain Response Analysis for Quantitative Systems Pharmacology Models. CPT Pharmacometrics & Systems Pharmacology. 7(2). 111–123. 7 indexed citations
8.
9.
10.
Post, Teun M., Stephan Schmidt, L. A. Peletier, et al.. (2013). Application of a mechanism-based disease systems model for osteoporosis to clinical data. Journal of Pharmacokinetics and Pharmacodynamics. 40(2). 143–156. 23 indexed citations
11.
Schnabel, Peter, et al.. (2012). Pharmacokinetic profile of nomegestrol acetate and 17β-estradiol after multiple and single dosing in healthy women. Contraception. 87(2). 193–200. 32 indexed citations
12.
Schmidt, Stephan, Teun M. Post, L. A. Peletier, M Boroujerdi, & Meindert Danhof. (2011). Coping with time scales in disease systems analysis: application to bone remodeling. Journal of Pharmacokinetics and Pharmacodynamics. 38(6). 873–900. 28 indexed citations
13.
Post, Teun M., Serge C.L.M. Cremers, Thomas Kerbusch, & Meindert Danhof. (2010). Bone Physiology, Disease and Treatment. Clinical Pharmacokinetics. 49(2). 89–118. 36 indexed citations
14.
Post, Teun M., Jan Freijer, Bart A. Ploeger, & Meindert Danhof. (2008). Extensions to the Visual Predictive Check to facilitate model performance evaluation. Journal of Pharmacokinetics and Pharmacodynamics. 35(2). 185–202. 164 indexed citations
15.
Winter, Willem de, Joost DeJongh, Teun M. Post, et al.. (2006). A Mechanism-based Disease Progression Model for Comparison of Long-term Effects of Pioglitazone, Metformin and Gliclazide on Disease Processes Underlying Type 2 Diabetes Mellitus. Journal of Pharmacokinetics and Pharmacodynamics. 33(3). 313–343. 112 indexed citations
16.
Freijer, Jan, Teun M. Post, Bart A. Ploeger, Joost DeJongh, & Meindert Danhof. (2006). Application of the Convection–Dispersion Equation to Modelling Oral Drug Absorption. Bulletin of Mathematical Biology. 69(1). 181–195. 5 indexed citations
17.
Post, Teun M., Jan Freijer, Joost DeJongh, & Meindert Danhof. (2005). Disease System Analysis: Basic Disease Progression Models in Degenerative Disease. Pharmaceutical Research. 22(7). 1038–1049. 66 indexed citations
18.
Maat, Monique M. R. de, Teun M. Post, D. Jonker, et al.. (2003). Pharmacotherapy of Hospitalised HIV-Infected Patients in a General Hospital during 1990, 1997 and 2001. Clinical Drug Investigation. 23(1). 45–53. 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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