Pieter Wesseling

60.8k total citations · 9 hit papers
386 papers, 26.6k citations indexed

About

Pieter Wesseling is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Pieter Wesseling has authored 386 papers receiving a total of 26.6k indexed citations (citations by other indexed papers that have themselves been cited), including 161 papers in Genetics, 119 papers in Molecular Biology and 71 papers in Cancer Research. Recurrent topics in Pieter Wesseling's work include Glioma Diagnosis and Treatment (161 papers), Computational Fluid Dynamics and Aerodynamics (45 papers) and Advanced Numerical Methods in Computational Mathematics (42 papers). Pieter Wesseling is often cited by papers focused on Glioma Diagnosis and Treatment (161 papers), Computational Fluid Dynamics and Aerodynamics (45 papers) and Advanced Numerical Methods in Computational Mathematics (42 papers). Pieter Wesseling collaborates with scholars based in Netherlands, United States and Germany. Pieter Wesseling's co-authors include Arie Perry, Andreas von Deimling, Guido Reifenberger, David N. Louis, Stefan M. Pfister, Dominique Figarella‐Branger, Daniel J. Brat, Ian A. Cree, David W. Ellison and Cynthia Hawkins and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Pieter Wesseling

377 papers receiving 26.0k citations

Hit Papers

The 2021 WHO Classificati... 1992 2026 2003 2014 2021 1992 2015 2011 2012 2.0k 4.0k 6.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary
    2021 6.2k citations David N. Louis, Arie Perry et al. Neuro-Oncology profile →
  2. An Introduction to Multigrid Methods
    1992 936 citations Pieter Wesseling profile →
  3. Overcoming the blood–brain tumor barrier for effective glioblastoma treatment
    2015 764 citations Pieter Wesseling et al. profile →
  4. Analysis of BRAF V600E mutation in 1,320 nervous system tumors reveals high mutation frequencies in pleomorphic xanthoastrocytoma, ganglioglioma and extra-cerebellar pilocytic astrocytoma
    2011 739 citations David Capper, Pieter Wesseling et al. Acta Neuropathologica profile →
  5. The immunosuppressive tumour network: myeloid‐derived suppressor cells, regulatory T cells and natural killer T cells
    2012 652 citations Pieter Wesseling et al. profile →
  6. WHO 2016 Classification of gliomas
    2017 570 citations Pieter Wesseling, David Capper profile →
  7. Principles of Computational Fluid Dynamics
    2001 569 citations Pieter Wesseling profile →
  8. EANO–ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up of patients with leptomeningeal metastasis from solid tumours
    2017 426 citations Émilie Le Rhun, Michael Weller et al. profile →
  9. Ultra-fast deep-learned CNS tumour classification during surgery
    2023 96 citations Pieter Wesseling, Niels Verburg et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pieter Wesseling Netherlands 74 11.3k 8.5k 5.3k 4.3k 3.7k 386 26.6k
Kenneth R. Hess United States 98 8.6k 0.8× 9.9k 1.2× 8.5k 1.6× 14.8k 3.5× 15.4k 4.1× 509 41.8k
Michael D. Taylor Canada 69 7.6k 0.7× 11.7k 1.4× 3.2k 0.6× 1.9k 0.4× 3.0k 0.8× 426 21.3k
Jay S. Loeffler United States 86 11.3k 1.0× 4.6k 0.5× 2.5k 0.5× 11.8k 2.8× 5.3k 1.4× 368 27.0k
Se Hoon Kim South Korea 60 3.2k 0.3× 4.8k 0.6× 1.4k 0.3× 1.7k 0.4× 1.8k 0.5× 771 18.5k
Jürgen Debus Germany 94 6.2k 0.6× 5.0k 0.6× 5.6k 1.1× 19.8k 4.7× 12.4k 3.3× 1.3k 43.7k
Guido Reifenberger Germany 93 29.1k 2.6× 18.3k 2.2× 12.3k 2.3× 8.9k 2.1× 5.8k 1.6× 354 47.6k
R. Mark Henkelman Canada 83 2.1k 0.2× 7.9k 0.9× 2.1k 0.4× 1.8k 0.4× 4.0k 1.1× 321 27.8k
Scott L. Pomeroy United States 49 4.5k 0.4× 27.9k 3.3× 9.8k 1.9× 6.3k 1.5× 6.7k 1.8× 117 44.5k
Andreas von Deimling Germany 105 31.1k 2.8× 22.7k 2.7× 13.1k 2.5× 10.4k 2.5× 9.1k 2.4× 652 59.5k
Charles P. Lin United States 55 2.3k 0.2× 5.8k 0.7× 2.1k 0.4× 1.4k 0.3× 3.6k 1.0× 210 26.0k

Countries citing papers authored by Pieter Wesseling

Since Specialization
Citations

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

Fields of papers citing papers by Pieter Wesseling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pieter Wesseling

This figure shows the co-authorship network connecting the top 25 collaborators of Pieter Wesseling. A scholar is included among the top collaborators of Pieter Wesseling 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 Pieter Wesseling. Pieter Wesseling 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.
Hijfte, Levi van, Marjolein Geurts, Iris de Heer, et al.. (2025). Gemistocytic tumor cells programmed for glial scarring characterize T cell confinement in IDH-mutant astrocytoma. Nature Communications. 16(1). 1156–1156. 2 indexed citations
2.
Aldape, Kenneth, David Capper, Andreas von Deimling, et al.. (2025). cIMPACT-NOW update 9: Recommendations on utilization of genome-wide DNA methylation profiling for central nervous system tumor diagnostics. Neuro-Oncology Advances. 7(1). vdae228–vdae228. 9 indexed citations
3.
Rhun, Émilie Le, Michael Weller, Martin J. van den Bent, et al.. (2023). Leptomeningeal metastasis from solid tumours: EANO–ESMO Clinical Practice Guideline for diagnosis, treatment and follow-up. ESMO Open. 8(5). 101624–101624. 54 indexed citations
4.
Capper, David, Guido Reifenberger, Pim J. French, et al.. (2023). EANO guideline on rational molecular testing of gliomas, glioneuronal, and neuronal tumors in adults for targeted therapy selection. Neuro-Oncology. 25(5). 813–826. 54 indexed citations
5.
Louis, David N., Arie Perry, Pieter Wesseling, et al.. (2021). The 2021 WHO Classification of Tumors of the Central Nervous System: a summary. Neuro-Oncology. 23(8). 1231–1251. 6191 indexed citations breakdown →
6.
Jacobs, Sarah, Pieter Wesseling, Bart de Keizer, et al.. (2021). CXCR4 expression in glioblastoma tissue and the potential for PET imaging and treatment with [68Ga]Ga-Pentixafor /[177Lu]Lu-Pentixather. European Journal of Nuclear Medicine and Molecular Imaging. 49(2). 481–491. 26 indexed citations
7.
Verburg, Niels, F.W.A. Hoefnagels, Frederik Barkhof, et al.. (2017). Diagnostic Accuracy of Neuroimaging to Delineate Diffuse Gliomas within the Brain: A Meta-Analysis. American Journal of Neuroradiology. 38(10). 1884–1891. 37 indexed citations
8.
Jansen, Marc H.A., Tonny Lagerweij, A. Sewing, et al.. (2016). Bevacizumab Targeting Diffuse Intrinsic Pontine Glioma: Results of 89Zr-Bevacizumab PET Imaging in Brain Tumor Models. Molecular Cancer Therapeutics. 15(9). 2166–2174. 50 indexed citations
9.
Molenaar, Remco J., Dagmar Verbaan, Simona Lamba, et al.. (2014). The combination of IDH1 mutations and MGMT methylation status predicts survival in glioblastoma better than either IDH1 or MGMT alone. Neuro-Oncology. 16(9). 1263–1273. 158 indexed citations
10.
Pedersen, Malin, Heidi V.N. Küsters‐Vandevelde, Amaya Virós, et al.. (2013). Primary Melanoma of the CNS in Children Is Driven by Congenital Expression of Oncogenic NRAS in Melanocytes. Cancer Discovery. 3(4). 458–469. 51 indexed citations
11.
Bent, Martin J. van den, Lale Erdem‐Eraslan, Ahmed Idbaïh, et al.. (2013). MGMT -STP27 Methylation Status as Predictive Marker for Response to PCV in Anaplastic Oligodendrogliomas and Oligoastrocytomas. A Report from EORTC Study 26951. Clinical Cancer Research. 19(19). 5513–5522. 95 indexed citations
12.
13.
Bent, Martin J. van den, Lonneke A.M. Gravendeel, Thierry Gorlia, et al.. (2011). A Hypermethylated Phenotype Is a Better Predictor of Survival than MGMT Methylation in Anaplastic Oligodendroglial Brain Tumors: A Report from EORTC Study 26951. Clinical Cancer Research. 17(22). 7148–7155. 83 indexed citations
14.
Vijver, Marc J. van de, Pieter Wesseling, Jelle Wesseling, et al.. (2010). Receptor conversion in distant breast cancer metastases. Breast Cancer Research. 12(5). R75–R75. 180 indexed citations
15.
Bent, Martin J. van den, Hendrikus J. Dubbink, Yannick Marie, et al.. (2010). IDH1 and IDH2 Mutations Are Prognostic but not Predictive for Outcome in Anaplastic Oligodendroglial Tumors: A Report of the European Organization for Research and Treatment of Cancer Brain Tumor Group. Clinical Cancer Research. 16(5). 1597–1604. 304 indexed citations
16.
17.
Horssen, Jack van, Johanneke Kleinnijenhuis, Cathy Maass, et al.. (2002). Accumulation of heparan sulfate proteoglycans in cerebellar senile plaques. Neurobiology of Aging. 23(4). 537–545. 57 indexed citations
18.
Meis, Jacques F., Pieter Wesseling, Hannie Kremer, & Paul E. Verweij. (1999). Unsuspected cerebral phaeohyphomycosis presenting as chronic basilar meningitis.. Studies in Mycology. 43. 180–182. 1 indexed citations
19.
Zeng, S. & Pieter Wesseling. (1992). An Efficient Algorithm for the Computation of Galerkin Coarse Grid Approximation for the Incompressible Navier-Stokes Equations. Research Repository (Delft University of Technology). 4 indexed citations
20.

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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