Dymphy Huntjens

903 total citations
28 papers, 609 citations indexed

About

Dymphy Huntjens is a scholar working on Epidemiology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Dymphy Huntjens has authored 28 papers receiving a total of 609 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 7 papers in Cellular and Molecular Neuroscience and 6 papers in Infectious Diseases. Recurrent topics in Dymphy Huntjens's work include Respiratory viral infections research (12 papers), Pneumonia and Respiratory Infections (6 papers) and Receptor Mechanisms and Signaling (6 papers). Dymphy Huntjens is often cited by papers focused on Respiratory viral infections research (12 papers), Pneumonia and Respiratory Infections (6 papers) and Receptor Mechanisms and Signaling (6 papers). Dymphy Huntjens collaborates with scholars based in Belgium, Netherlands and United States. Dymphy Huntjens's co-authors include Meindert Danhof, Oscar Della Pasqua, David J. Spalding, An Vermeulen, Johannes H. Proost, Elizabeth C. M. de Lange, Yumi Yamamoto, Yin Cheong Wong, J. G. Coen van Hasselt and Walter Krauwinkel and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Dymphy Huntjens

28 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dymphy Huntjens Belgium 13 188 139 110 107 93 28 609
Rolf Pokorny Switzerland 16 89 0.5× 84 0.6× 135 1.2× 63 0.6× 215 2.3× 23 969
Mark G. Eller United States 17 155 0.8× 139 1.0× 69 0.6× 156 1.5× 208 2.2× 34 749
Karim Aouam Tunisia 14 76 0.4× 274 2.0× 67 0.6× 82 0.8× 86 0.9× 100 728
Yiping Liu China 14 102 0.5× 69 0.5× 148 1.3× 62 0.6× 117 1.3× 24 765
Maribel Martínez United States 17 142 0.8× 112 0.8× 68 0.6× 25 0.2× 318 3.4× 24 840
Takao Yamamoto Japan 19 156 0.8× 102 0.7× 125 1.1× 79 0.7× 263 2.8× 66 941
Linda G. Byrd United States 10 126 0.7× 42 0.3× 132 1.2× 136 1.3× 176 1.9× 16 797
Masahide Horiba Japan 10 137 0.7× 39 0.3× 61 0.6× 273 2.6× 150 1.6× 24 862
Chadi Abbara France 12 39 0.2× 94 0.7× 82 0.7× 50 0.5× 102 1.1× 58 464
Jeroen C. G. den Burger Netherlands 11 45 0.2× 184 1.3× 76 0.7× 53 0.5× 151 1.6× 11 724

Countries citing papers authored by Dymphy Huntjens

Since Specialization
Citations

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

Fields of papers citing papers by Dymphy Huntjens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dymphy Huntjens

This figure shows the co-authorship network connecting the top 25 collaborators of Dymphy Huntjens. A scholar is included among the top collaborators of Dymphy Huntjens 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 Dymphy Huntjens. Dymphy Huntjens 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
3.
McClure, Matthew W., Julian Symons, Sushmita Chanda, et al.. (2023). Lumicitabine, an orally administered nucleoside analog, in infants hospitalized with respiratory syncytial virus (RSV) infection: Safety, efficacy, and pharmacokinetic results. PLoS ONE. 18(7). e0288271–e0288271. 14 indexed citations
4.
Remmerie, Bart, Thomas Van Looy, Sarah Rusch, et al.. (2019). Integrating Duodenal Sampling in a Human Mass Balance Study to Quantify the Elimination Pathways of JNJ-53718678, a Respiratory Syncytial Virus Fusion Protein Inhibitor. Advances in Therapy. 37(1). 578–591. 2 indexed citations
5.
González‐Parra, Gilberto, Filip De Ridder, Dymphy Huntjens, et al.. (2018). A comparison of RSV and influenza in vitro kinetic parameters reveals differences in infecting time. PLoS ONE. 13(2). e0192645–e0192645. 28 indexed citations
6.
Taneja, Amit, An Vermeulen, Dymphy Huntjens, et al.. (2017). Modeling of prolactin response following dopamine D2receptor antagonists in rats: can it be translated to clinical dosing?. Pharmacology Research & Perspectives. 5(6). 2 indexed citations
7.
Bursi, Roberta, et al.. (2017). Evaluation of the Population Pharmacokinetic Properties of Lidocaine and its Metabolites After Long-Term Multiple Applications of a Lidocaine Plaster in Post-Herpetic Neuralgia Patients. European Journal of Drug Metabolism and Pharmacokinetics. 42(5). 801–814. 8 indexed citations
8.
Green, Bruce, et al.. (2017). A human challenge model for respiratory syncytial virus kinetics, the pharmacological effect of a novel fusion inhibitor, and the modelling of symptoms scores. European Journal of Pharmaceutical Sciences. 109. S154–S160. 10 indexed citations
10.
Yamamoto, Yumi, Pyry A. J. Välitalo, Yin Cheong Wong, et al.. (2017). Prediction of human CNS pharmacokinetics using a physiologically-based pharmacokinetic modeling approach. European Journal of Pharmaceutical Sciences. 112. 168–179. 56 indexed citations
12.
Huntjens, Dymphy, et al.. (2016). Population Pharmacokinetic Modeling of Tapentadol Extended Release (ER) in Healthy Subjects and Patients with Moderate or Severe Chronic Pain. Clinical Drug Investigation. 36(3). 213–223. 8 indexed citations
13.
Taneja, Amit, An Vermeulen, Dymphy Huntjens, et al.. (2016). A comparison of two semi-mechanistic models for prolactin release and prediction of receptor occupancy following administration of dopamine D 2 receptor antagonists in rats. European Journal of Pharmacology. 789. 202–214. 7 indexed citations
14.
Yamamoto, Yumi, Pyry A. J. Välitalo, Dirk‐Jan van den Berg, et al.. (2016). A Generic Multi-Compartmental CNS Distribution Model Structure for 9 Drugs Allows Prediction of Human Brain Target Site Concentrations. Pharmaceutical Research. 34(2). 333–351. 55 indexed citations
15.
Huntjens, Dymphy, David J. Spalding, Meindert Danhof, & Oscar Della Pasqua. (2009). Impact of chronic inflammation on the pharmacokinetic–pharmacodynamic relationship of naproxen. European Journal of Pain. 14(3). 227.e1–10. 5 indexed citations
16.
Huntjens, Dymphy, Anne Chain, Scott Summerfield, et al.. (2008). Population pharmacokinetic modelling of the enterohepatic recirculation of diclofenac and rofecoxib in rats. British Journal of Pharmacology. 153(5). 1072–1084. 24 indexed citations
17.
Huntjens, Dymphy, David J. Spalding, Meindert Danhof, & Oscar Della Pasqua. (2008). Differences in the sensitivity of behavioural measures of pain to the selectivity of cyclo‐oxygenase inhibitors. European Journal of Pain. 13(5). 448–457. 22 indexed citations
18.
Huntjens, Dymphy, David J. Spalding, Meindert Danhof, & Oscar Della Pasqua. (2006). Correlation betweenin vitroandin vivoconcentration–effect relationships of naproxen in rats and healthy volunteers. British Journal of Pharmacology. 148(4). 396–404. 34 indexed citations
19.
Huntjens, Dymphy, Meindert Danhof, & Oscar Della Pasqua. (2005). Pharmacokinetic–pharmacodynamic correlations and biomarkers in the development of COX-2 inhibitors. Lara D. Veeken. 44(7). 846–859. 103 indexed citations
20.
Visser, Sandra A. G., Dymphy Huntjens, Piet H. van der Graaf, L. A. Peletier, & Meindert Danhof. (2003). Mechanism-Based Modeling of the Pharmacodynamic Interaction of Alphaxalone and Midazolam in Rats. Journal of Pharmacology and Experimental Therapeutics. 307(2). 765–775. 11 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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