Irma Meijerman

2.7k total citations
52 papers, 2.1k citations indexed

About

Irma Meijerman is a scholar working on Pharmacology, Oncology and Molecular Biology. According to data from OpenAlex, Irma Meijerman has authored 52 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Pharmacology, 22 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Irma Meijerman's work include Pharmacogenetics and Drug Metabolism (27 papers), Drug Transport and Resistance Mechanisms (15 papers) and Cancer therapeutics and mechanisms (5 papers). Irma Meijerman is often cited by papers focused on Pharmacogenetics and Drug Metabolism (27 papers), Drug Transport and Resistance Mechanisms (15 papers) and Cancer therapeutics and mechanisms (5 papers). Irma Meijerman collaborates with scholars based in Netherlands, United Kingdom and Spain. Irma Meijerman's co-authors include Jos H. Beijnen, Jan H.M. Schellens, Esther Brandon, Stefan Harmsen, Tessa M. Bosch, Roel F. Maas-Bakker, Andries S. Koster, Andrew K.L. Goey, Tom Schalekamp and Paul H.M. Smits and has published in prestigious journals such as SHILAP Revista de lepidopterología, Hepatology and Cancer Research.

In The Last Decade

Irma Meijerman

51 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Irma Meijerman Netherlands 25 808 687 667 211 162 52 2.1k
M.J. Gómez-Lechón Spain 33 1.2k 1.5× 873 1.3× 666 1.0× 108 0.5× 107 0.7× 77 3.1k
Lysiane Richert France 33 1.1k 1.3× 810 1.2× 668 1.0× 92 0.4× 92 0.6× 129 3.1k
Jun‐Shik Choi South Korea 30 693 0.9× 539 0.8× 764 1.1× 156 0.7× 60 0.4× 87 2.1k
Zhi‐Rong Tan China 31 1.2k 1.5× 774 1.1× 704 1.1× 253 1.2× 76 0.5× 103 2.8k
Soo Kyung Bae South Korea 30 837 1.0× 1.1k 1.5× 512 0.8× 98 0.5× 80 0.5× 147 2.9k
Andrew Stolz United States 34 1.6k 2.0× 694 1.0× 986 1.5× 159 0.8× 146 0.9× 97 3.6k
Chuang Lu United States 23 1.1k 1.4× 659 1.0× 748 1.1× 94 0.4× 54 0.3× 56 2.3k
Fahad I. Al‐Jenoobi Saudi Arabia 29 489 0.6× 720 1.0× 265 0.4× 356 1.7× 70 0.4× 116 2.7k
Alain Berson France 36 1.3k 1.6× 1.3k 1.8× 456 0.7× 82 0.4× 112 0.7× 59 3.9k
Murray P. Ducharme Canada 24 604 0.7× 710 1.0× 636 1.0× 89 0.4× 86 0.5× 79 3.0k

Countries citing papers authored by Irma Meijerman

Since Specialization
Citations

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

Fields of papers citing papers by Irma Meijerman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Irma Meijerman

This figure shows the co-authorship network connecting the top 25 collaborators of Irma Meijerman. A scholar is included among the top collaborators of Irma Meijerman 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 Irma Meijerman. Irma Meijerman 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.
Meijerman, Irma, et al.. (2024). Adding a scholarly analysis of teaching and learning to SoTL: the development of the hands-on Utrecht Roadmap for SoTL. The International Journal for Academic Development. 30(4). 474–488. 2 indexed citations
2.
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Barbiero, Pietro, Irma Meijerman, Alberto Tonda, et al.. (2023). A robust mRNA signature obtained via recursive ensemble feature selection predicts the responsiveness of omalizumab in moderate‐to‐severe asthma. Clinical and Translational Allergy. 13(11). e12306–e12306. 5 indexed citations
4.
Meijerman, Irma, Femke Kirschner, & Frans J. Prins. (2023). Experiences with Supporting Teachers with Scholarship of Teaching and Learning at a Research-Intensive University: Lessons Learned. Teaching & Learning Inquiry The ISSOTL Journal. 11. 3 indexed citations
5.
Maas-Bakker, Roel F., et al.. (2013). Milk Thistle’s Active Components Silybin and Isosilybin: Novel Inhibitors of PXR-Mediated CYP3A4 Induction. Drug Metabolism and Disposition. 41(8). 1494–1504. 28 indexed citations
6.
Meulenbelt, Jan, Sandra M. Nijmeijer, Roel F. Maas-Bakker, et al.. (2011). 3,4-Methylenedioxymethamphetamine (MDMA) interacts with therapeutic drugs on CYP3A by inhibition of pregnane X receptor (PXR) activation and catalytic enzyme inhibition. Toxicology Letters. 203(1). 82–91. 11 indexed citations
7.
Harmsen, Stefan, Irma Meijerman, Jos H. Beijnen, & Jan H.M. Schellens. (2008). Nuclear receptor mediated induction of cytochrome P450 3A4 by anticancer drugs: a key role for the pregnane X receptor. Cancer Chemotherapy and Pharmacology. 64(1). 35–43. 76 indexed citations
8.
Meijerman, Irma, Jos H. Beijnen, & Jan H.M. Schellens. (2008). Combined action and regulation of phase II enzymes and multidrug resistance proteins in multidrug resistance in cancer. Cancer Treatment Reviews. 34(6). 505–520. 94 indexed citations
9.
Harmsen, Stefan, Andries S. Koster, Jos H. Beijnen, Jan H.M. Schellens, & Irma Meijerman. (2008). Comparison of Two Immortalized Human Cell Lines to Study Nuclear Receptor-Mediated CYP3A4 Induction. Drug Metabolism and Disposition. 36(6). 1166–1171. 49 indexed citations
10.
Harmsen, Stefan, Irma Meijerman, Jos H. Beijnen, & Jan H.M. Schellens. (2007). The role of nuclear receptors in pharmacokinetic drug–drug interactions in oncology. Cancer Treatment Reviews. 33(4). 369–380. 98 indexed citations
11.
Meijerman, Irma, Linda M. Sanderson, Paul H.M. Smits, Jos H. Beijnen, & Jan H.M. Schellens. (2007). Pharmacogenetic Screening of the Gene Deletion and Duplications of CYP2D6. Drug Metabolism Reviews. 39(1). 45–60. 26 indexed citations
12.
Bosch, Tessa M., Maarten J. Deenen, Paul H.M. Smits, et al.. (2006). Screening for polymorphisms in the PXR gene in a Dutch population. European Journal of Clinical Pharmacology. 62(5). 395–399. 25 indexed citations
13.
Bosch, Tessa M., Valerie D. Doodeman, Paul H.M. Smits, et al.. (2006). Pharmacogenetic Screening for Polymorphisms in Drug-Metabolizing Enzymes and Drug Transporters in a Dutch Population. Molecular Diagnosis & Therapy. 10(3). 175–185. 24 indexed citations
14.
Bosch, Tessa M., Bobby P. C. Koeleman, Jan H.M. Schellens, et al.. (2005). Detection of Single Nucleotide Polymorphisms in the ABCG2 Gene in a Dutch Population. PubMed. 5(2). 123–131. 42 indexed citations
15.
16.
Brandon, Esther, et al.. (2004). In vitro characterization of the biotransformation of thiocoraline, a novel marine anti-cancer drug. Investigational New Drugs. 22(3). 241–251. 17 indexed citations
17.
Schalekamp, Tom, et al.. (2004). Effects of cytochrome P450 2C9 polymorphisms on phenprocoumon anticoagulation status. Clinical Pharmacology & Therapeutics. 76(5). 409–417. 47 indexed citations
18.
Blom, W. Marty, et al.. (1999). Prevention of cycloheximide-induced apoptosis in hepatocytes by adenosine and by caspase inhibitors. Biochemical Pharmacology. 58(12). 1891–1898. 31 indexed citations
19.
20.
Meijerman, Irma, et al.. (1997). Nuclear Accumulation of G-Actin in Isolated Rat Hepatocytes by Adenine Nucleotides. Biochemical and Biophysical Research Communications. 240(3). 697–700. 8 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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