Maikel Verduin

412 total citations
9 papers, 232 citations indexed

About

Maikel Verduin is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Maikel Verduin has authored 9 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in Maikel Verduin's work include Radiomics and Machine Learning in Medical Imaging (4 papers), Glioma Diagnosis and Treatment (4 papers) and Mitochondrial Function and Pathology (2 papers). Maikel Verduin is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (4 papers), Glioma Diagnosis and Treatment (4 papers) and Mitochondrial Function and Pathology (2 papers). Maikel Verduin collaborates with scholars based in Netherlands, United States and Canada. Maikel Verduin's co-authors include Ann Hoeben, Marc Vooijs, Dirk De Ruysscher, John D. Ross, Rob Rodrigues Pereira, Daniëlle B. P. Eekers, Alida A. Postma, Linda Ackermans, Lizza Hendriks and Sander Croes and has published in prestigious journals such as Biochimica et Biophysica Acta (BBA) - Bioenergetics, The Oncologist and Radiotherapy and Oncology.

In The Last Decade

Maikel Verduin

9 papers receiving 228 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maikel Verduin Netherlands 8 66 62 56 50 43 9 232
L. Torres Spain 8 44 0.7× 52 0.8× 16 0.3× 26 0.5× 23 0.5× 16 187
Xiaoli Xie China 9 81 1.2× 188 3.0× 24 0.4× 26 0.5× 30 0.7× 19 329
Soichiro Fushimi Japan 11 70 1.1× 111 1.8× 16 0.3× 53 1.1× 19 0.4× 34 276
Ewa Zembala‐Nożyńska Poland 11 65 1.0× 135 2.2× 26 0.5× 51 1.0× 5 0.1× 45 345
Tammy L. Palenski United States 10 73 1.1× 173 2.8× 12 0.2× 15 0.3× 52 1.2× 20 385
Liana Nikolaenko United States 12 156 2.4× 83 1.3× 10 0.2× 14 0.3× 33 0.8× 41 372
Hassan Dastsooz Iran 10 34 0.5× 191 3.1× 30 0.5× 33 0.7× 9 0.2× 32 295
Anne Forde Germany 2 22 0.3× 168 2.7× 84 1.5× 29 0.6× 21 0.5× 3 339
Zita Reisz Hungary 9 80 1.2× 98 1.6× 5 0.1× 61 1.2× 49 1.1× 35 293
Zhenyu Dong Japan 14 34 0.5× 172 2.8× 7 0.1× 58 1.2× 20 0.5× 38 563

Countries citing papers authored by Maikel Verduin

Since Specialization
Citations

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

Fields of papers citing papers by Maikel Verduin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maikel Verduin

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

All Works

9 of 9 papers shown
1.
Hoeben, Ann, Daniëlle B. P. Eekers, Alida A. Postma, et al.. (2025). IDO2-AhR axis as central regulator of the kynurenine pathway in glioblastoma. Journal of Neuro-Oncology. 174(3). 721–731. 1 indexed citations
2.
Broen, Martinus P G, Anna C. H. Willemsen, Daniëlle B. P. Eekers, et al.. (2022). Temporal muscle thickness as an independent prognostic imaging marker in newly diagnosed glioblastoma patients: A validation study. Neuro-Oncology Advances. 4(1). vdac038–vdac038. 15 indexed citations
3.
Compter, Inge, Maikel Verduin, Zhenwei Shi, et al.. (2021). Deciphering the glioblastoma phenotype by computed tomography radiomics. Radiotherapy and Oncology. 160. 132–139. 10 indexed citations
4.
Hope, Andrew, Maikel Verduin, Thomas J. Dilling, et al.. (2021). Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers. Cancers. 13(10). 2382–2382. 10 indexed citations
5.
Verduin, Maikel, Ann Hoeben, Dirk De Ruysscher, & Marc Vooijs. (2021). Patient-Derived Cancer Organoids as Predictors of Treatment Response. Frontiers in Oncology. 11. 641980–641980. 71 indexed citations
6.
Verduin, Maikel, Inge Compter, Alida A. Postma, et al.. (2018). Noninvasive Glioblastoma Testing: Multimodal Approach to Monitoring and Predicting Treatment Response. Disease Markers. 2018. 1–11. 35 indexed citations
7.
Verduin, Maikel, Jaap Zindler, Rob L. H. Jansen, et al.. (2017). Use of Systemic Therapy Concurrent With Cranial Radiotherapy for Cerebral Metastases of Solid Tumors. The Oncologist. 22(2). 222–235. 20 indexed citations
8.
Scholte, H.R., Etienne Agsteribbe, H. F. M. Busch, et al.. (1990). Oxidative phosporylation in human muscle in patients with ocular myopathy and after general anaesthesia. Biochimica et Biophysica Acta (BBA) - Bioenergetics. 1018(2-3). 211–216. 9 indexed citations
9.
Pereira, Rob Rodrigues, et al.. (1990). Primary carnitine deficiency.. PubMed. 28(5). 351–7. 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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