Maaike van Dartel

524 total citations
17 papers, 317 citations indexed

About

Maaike van Dartel is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maaike van Dartel has authored 17 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Oncology and 6 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maaike van Dartel's work include CAR-T cell therapy research (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Pharmaceutical studies and practices (3 papers). Maaike van Dartel is often cited by papers focused on CAR-T cell therapy research (4 papers), Sarcoma Diagnosis and Treatment (3 papers) and Pharmaceutical studies and practices (3 papers). Maaike van Dartel collaborates with scholars based in Netherlands, France and Belgium. Maaike van Dartel's co-authors include Theo J.M. Hulsebos, Sandra Redeker, Johannes Bras, Michel W.J.M. Wouters, Doranne L. Hilarius, Anthonius de Boer, Éric Abadie, Marcel Kool, Gonzalo Calvo and Jorge Camarero and has published in prestigious journals such as Journal of Clinical Oncology, Biochemical and Biophysical Research Communications and Annals of Oncology.

In The Last Decade

Maaike van Dartel

16 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maaike van Dartel Netherlands 9 164 115 108 52 40 17 317
Ewan J.D. Robson United Kingdom 6 280 1.7× 88 0.8× 61 0.6× 63 1.2× 47 1.2× 8 371
Zongming Lin China 12 226 1.4× 134 1.2× 132 1.2× 99 1.9× 42 1.1× 19 396
Tracy L. Krebs United States 6 267 1.6× 110 1.0× 82 0.8× 58 1.1× 23 0.6× 10 364
Guetchyn Millien United States 9 214 1.3× 160 1.4× 143 1.3× 49 0.9× 18 0.5× 10 421
Suzanne R.L. Young United States 13 301 1.8× 137 1.2× 93 0.9× 66 1.3× 62 1.6× 20 455
Leighton C. Stein United States 10 207 1.3× 132 1.1× 97 0.9× 111 2.1× 45 1.1× 18 397
Eungbae Lee South Korea 10 178 1.1× 52 0.5× 107 1.0× 64 1.2× 19 0.5× 24 304
Natalie Stickle Canada 10 201 1.2× 108 0.9× 58 0.5× 155 3.0× 44 1.1× 17 336
Joanna Vermeij Belgium 9 115 0.7× 139 1.2× 83 0.8× 76 1.5× 34 0.8× 22 292
Norihiko Kawamura Japan 10 255 1.6× 108 0.9× 97 0.9× 65 1.3× 39 1.0× 46 429

Countries citing papers authored by Maaike van Dartel

Since Specialization
Citations

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

Fields of papers citing papers by Maaike van Dartel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maaike van Dartel. 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 Maaike van Dartel. The network helps show where Maaike van Dartel may publish in the future.

Co-authorship network of co-authors of Maaike van Dartel

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

All Works

17 of 17 papers shown
1.
Dartel, Maaike van, et al.. (2025). A review on the role of extrapolation as basis for paediatric marketing authorization applications of medicines in the EU. British Journal of Clinical Pharmacology. 91(5). 1500–1510.
2.
Schramel, Franz M.N.H., Maaike van Dartel, Anna M.G. Pasmooij, et al.. (2023). Individual patient data to allow a more elaborated comparison of trial results with real-world outcomes from second-line immunotherapy in NSCLC. BMC Medical Research Methodology. 23(1). 1–1. 7 indexed citations
3.
Flier, S. van der, Anna M.G. Pasmooij, Maaike van Dartel, et al.. (2022). Medication Use and Clinical Outcomes by the Dutch Institute for Clinical Auditing Medicines Program: Quantitative Analysis. Journal of Medical Internet Research. 24(6). e33446–e33446. 2 indexed citations
4.
Karres, Dominik, Giovanni Lesa, Franca Ligas, et al.. (2022). European regulatory strategy for supporting childhood cancer therapy developments. European Journal of Cancer. 177. 25–29. 2 indexed citations
5.
Wouters, Michel W.J.M., Maaike van Dartel, S. van der Flier, et al.. (2021). Palbociclib dose reductions and the effect on clinical outcomes in patients with advanced breast cancer. The Breast. 60. 263–271. 32 indexed citations
6.
Wouters, Michel W.J.M., Doranne L. Hilarius, Maureen J.B. Aarts, et al.. (2020). 1120P Post-approval trials versus patient registries: Comparability of advanced melanoma patients with brain metastases. Annals of Oncology. 31. S754–S754. 1 indexed citations
7.
Schramel, Franz M.N.H., Maaike van Dartel, Doranne L. Hilarius, et al.. (2020). The Dutch Lung Cancer Audit: Nationwide quality of care evaluation of lung cancer patients. Lung Cancer. 149. 68–77. 22 indexed citations
8.
Karres, Dominik, Giovanni Lesa, Franca Ligas, et al.. (2020). Can a Multistakeholder Prioritization Structure Support Regulatory Decision Making? A Review of Pediatric Oncology Strategy Forums Reflecting on Challenges and Opportunities of this Concept. Clinical Pharmacology & Therapeutics. 108(3). 553–556. 7 indexed citations
9.
Wreede, Liesbeth C. de, Alfonsus Johannes Maria van den Eertwegh, Anthonius de Boer, et al.. (2020). Real-world outcomes of advanced melanoma patients not represented in phase III trials.. Journal of Clinical Oncology. 38(15_suppl). 10042–10042. 6 indexed citations
11.
Dartel, Maaike van & Theo J.M. Hulsebos. (2004). Amplification and overexpression of genes in 17p11.2∼p12 in osteosarcoma. Cancer Genetics and Cytogenetics. 153(1). 77–80. 39 indexed citations
12.
Dartel, Maaike van, Sandra Redeker, Johannes Bras, Marcel Kool, & Theo J.M. Hulsebos. (2004). Overexpression through amplification of genes in chromosome region 17p11.2∼p12 in high-grade osteosarcoma. Cancer Genetics and Cytogenetics. 152(1). 8–14. 29 indexed citations
13.
Dartel, Maaike van & Theo J.M. Hulsebos. (2004). Characterization of PMP22 expression in osteosarcoma. Cancer Genetics and Cytogenetics. 152(2). 113–118. 21 indexed citations
14.
Dartel, Maaike van, Sieger Leenstra, Dirk Troost, & Theo J.M. Hulsebos. (2003). Infrequent but high-level amplification of 17p11.2∼p12 in human glioma. Cancer Genetics and Cytogenetics. 140(2). 162–166. 17 indexed citations
15.
Dartel, Maaike van, Sandra Redeker, Maija Tarkkanen, et al.. (2002). Amplification of 17p11.2∼p12, including PMP22, TOP3A, and MAPK7, in high-grade osteosarcoma. Cancer Genetics and Cytogenetics. 139(2). 91–96. 64 indexed citations
16.
Dartel, Maaike van, Sieger Leenstra, Pranab K. Das, et al.. (2001). GOA, a Novel Gene Encoding a Ring Finger B-Box Coiled-Coil Protein, Is Overexpressed in Astrocytoma. Biochemical and Biophysical Research Communications. 286(3). 574–579. 21 indexed citations
17.
Lindhout, Ernst, et al.. (1997). Involvement of ACPI a cysteine protease inhibitor in follicular dendritic cell-mediated rescue of germinal center B cells. Immunology Letters. 56. 16–16. 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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