Michaël H. Meel

701 total citations
20 papers, 367 citations indexed

About

Michaël H. Meel is a scholar working on Genetics, Molecular Biology and Immunology. According to data from OpenAlex, Michaël H. Meel has authored 20 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Genetics, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Michaël H. Meel's work include Glioma Diagnosis and Treatment (14 papers), Neuroblastoma Research and Treatments (4 papers) and Chromatin Remodeling and Cancer (4 papers). Michaël H. Meel is often cited by papers focused on Glioma Diagnosis and Treatment (14 papers), Neuroblastoma Research and Treatments (4 papers) and Chromatin Remodeling and Cancer (4 papers). Michaël H. Meel collaborates with scholars based in Netherlands, United States and Germany. Michaël H. Meel's co-authors include Esther Hulleman, Gertjan J.L. Kaspers, Dennis S. Metselaar, Jan Köster, Marianna Bugiani, Marjolein Breur, A. Sewing, Timothy N. Phoenix, Nick de Jonge and Dannis G. van Vuurden and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Cancer Research.

In The Last Decade

Michaël H. Meel

19 papers receiving 367 citations

Peers

Michaël H. Meel
Diahnn Futalan United States
Julie Sesen United States
Namrata Choudhari United States
Chiaki Tsuge Ishida United States
Anna Chorzalska United States
Benjamin T. Goetz United States
Alexandra Garancher United States
Sara Bolin United States
Diahnn Futalan United States
Michaël H. Meel
Citations per year, relative to Michaël H. Meel Michaël H. Meel (= 1×) peers Diahnn Futalan

Countries citing papers authored by Michaël H. Meel

Since Specialization
Citations

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

Fields of papers citing papers by Michaël H. Meel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michaël H. Meel. 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 Michaël H. Meel. The network helps show where Michaël H. Meel may publish in the future.

Co-authorship network of co-authors of Michaël H. Meel

This figure shows the co-authorship network connecting the top 25 collaborators of Michaël H. Meel. A scholar is included among the top collaborators of Michaël H. Meel 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 Michaël H. Meel. Michaël H. Meel 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.
Metselaar, Dennis S., Michaël H. Meel, Aimée du Chatinier, et al.. (2024). Gemcitabine therapeutically disrupts essential SIRT1-mediated p53 repression in atypical teratoid/rhabdoid tumors. Cell Reports Medicine. 5(9). 101700–101700. 3 indexed citations
2.
Metselaar, Dennis S., Michaël H. Meel, Bernadette G. van den Hoogen, et al.. (2024). The heterogeneous sensitivity of pediatric brain tumors to different oncolytic viruses is predicted by unique gene expression profiles. SHILAP Revista de lepidopterología. 32(2). 200804–200804. 5 indexed citations
3.
Metselaar, Dennis S., Aimée du Chatinier, Cristian Ruiz-Moreno, et al.. (2024). DIPG-51. DIFFUSE MIDLINE GLIOMAS HIJACK MYELOID CELL POPULATIONS TO INITIATE AN ANTI-INFLAMMATORY TUMOR IMMUNE MICROENVIRONMENT. Neuro-Oncology. 26(Supplement_4). 0–0. 1 indexed citations
4.
Chatinier, Aimée du, et al.. (2024). DIPG-21. PRECLINICAL ASSESSMENT OF A MULTIMODAL TREATMENT APPROACH WITH GIVINOSTAT, PAXALISIB, AND RADIOTHERAPY FOR DIFFUSE MIDLINE GLIOMA (DMG). Neuro-Oncology. 26(Supplement_4). 0–0. 1 indexed citations
5.
Chatinier, Aimée du, et al.. (2023). Microglia in pediatric brain tumors: The missing link to successful immunotherapy. Cell Reports Medicine. 4(11). 101246–101246. 8 indexed citations
6.
Gooijer, Mark C. de, Rohan Shah, Michaël H. Meel, et al.. (2023). P03.11.B MITOTIC ENRICHMENT AS AN EFFICIENT RADIOSENSITIZATION STRATEGY FOR INTRACRANIAL TUMORS. Neuro-Oncology. 25(Supplement_2). ii38–ii39.
7.
Metselaar, Dennis S., Aimée du Chatinier, Michaël H. Meel, et al.. (2022). AURKA and PLK1 inhibition selectively and synergistically block cell cycle progression in diffuse midline glioma. iScience. 25(6). 104398–104398. 18 indexed citations
8.
Chatinier, Aimée du, Michaël H. Meel, Dennis S. Metselaar, et al.. (2022). Generation of immunocompetent syngeneic allograft mouse models for pediatric diffuse midline glioma. Neuro-Oncology Advances. 4(1). vdac079–vdac079. 11 indexed citations
9.
Meel, Michaël H., et al.. (2021). Defining tumor-associated vascular heterogeneity in pediatric high-grade and diffuse midline gliomas. Acta Neuropathologica Communications. 9(1). 142–142. 25 indexed citations
10.
Berg, Jaap van den, Kitty C. M. Castricum, Michaël H. Meel, et al.. (2020). Development of transient radioresistance during fractionated irradiation in vitro. Radiotherapy and Oncology. 148. 107–114. 13 indexed citations
11.
Metselaar, Dennis S., Michaël H. Meel, Bente Benedict, et al.. (2019). Celastrol-induced degradation of FANCD2 sensitizes pediatric high-grade gliomas to the DNA-crosslinking agent carboplatin. EBioMedicine. 50. 81–92. 27 indexed citations
12.
Meel, Michaël H., Gertjan J.L. Kaspers, & Esther Hulleman. (2019). Preclinical therapeutic targets in diffuse midline glioma. Drug Resistance Updates. 44. 15–25. 16 indexed citations
13.
Meel, Michaël H., Míriam Guillén Navarro, Mark C. de Gooijer, et al.. (2019). MEK/MELK inhibition and blood–brain barrier deficiencies in atypical teratoid/rhabdoid tumors. Neuro-Oncology. 22(1). 58–69. 23 indexed citations
14.
Meel, Michaël H., Mark C. de Gooijer, Míriam Guillén Navarro, et al.. (2018). MELK Inhibition in Diffuse Intrinsic Pontine Glioma. Clinical Cancer Research. 24(22). 5645–5657. 32 indexed citations
15.
Meel, Michaël H., et al.. (2018). An efficient method for the transduction of primary pediatric glioma neurospheres. MethodsX. 5. 173–183. 13 indexed citations
16.
Meel, Michaël H., et al.. (2017). Signaling pathways and mesenchymal transition in pediatric high-grade glioma. Cellular and Molecular Life Sciences. 75(5). 871–887. 40 indexed citations
17.
Meel, Michaël H., A. Sewing, Dennis S. Metselaar, et al.. (2017). Culture methods of diffuse intrinsic pontine glioma cells determine response to targeted therapies. Experimental Cell Research. 360(2). 397–403. 22 indexed citations
18.
Zanten, Sophie E. M. Veldhuijzen van, A. Sewing, Arthur van Lingen, et al.. (2017). Multiregional Tumor Drug-Uptake Imaging by PET and Microvascular Morphology in End-Stage Diffuse Intrinsic Pontine Glioma. Journal of Nuclear Medicine. 59(4). 612–615. 21 indexed citations
19.
Sewing, A., Tonny Lagerweij, Dannis G van Vuurden, et al.. (2017). Preclinical evaluation of convection-enhanced delivery of liposomal doxorubicin to treat pediatric diffuse intrinsic pontine glioma and thalamic high-grade glioma. Journal of Neurosurgery Pediatrics. 19(5). 518–530. 27 indexed citations
20.
Schuurhuis, Gerrit Jan, Michaël H. Meel, Monique Terwijn, et al.. (2013). Normal Hematopoietic Stem Cells within the AML Bone Marrow Have a Distinct and Higher ALDH Activity Level than Co-Existing Leukemic Stem Cells. PLoS ONE. 8(11). e78897–e78897. 61 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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