Geert J. Schenk

1.5k total citations
43 papers, 1.0k citations indexed

About

Geert J. Schenk is a scholar working on Pathology and Forensic Medicine, Developmental Neuroscience and Molecular Biology. According to data from OpenAlex, Geert J. Schenk has authored 43 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Pathology and Forensic Medicine, 14 papers in Developmental Neuroscience and 13 papers in Molecular Biology. Recurrent topics in Geert J. Schenk's work include Multiple Sclerosis Research Studies (20 papers), Neurogenesis and neuroplasticity mechanisms (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Geert J. Schenk is often cited by papers focused on Multiple Sclerosis Research Studies (20 papers), Neurogenesis and neuroplasticity mechanisms (14 papers) and Neuroinflammation and Neurodegeneration Mechanisms (10 papers). Geert J. Schenk collaborates with scholars based in Netherlands, Canada and United States. Geert J. Schenk's co-authors include Jeroen Geurts, Helga E. de Vries, Roel Klaver, Albertus G. de Boer, Antonio Luchicchi, Peter K. Stys, Jaap Rip, Pieter Voorn, Veronica Popescu and Paul van der Valk and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Cell Biology.

In The Last Decade

Geert J. Schenk

42 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geert J. Schenk Netherlands 20 417 326 275 172 145 43 1.0k
Benjamin Schattling Germany 12 338 0.8× 375 1.2× 200 0.7× 36 0.2× 97 0.7× 13 945
Catherine D. Sorbara Germany 7 342 0.8× 394 1.2× 306 1.1× 36 0.2× 235 1.6× 8 965
Darius Moharregh-Khiabani Germany 13 297 0.7× 251 0.8× 463 1.7× 59 0.3× 400 2.8× 15 1.1k
Robert Glumm Germany 10 247 0.6× 319 1.0× 258 0.9× 28 0.2× 176 1.2× 14 994
Yuriko Saito Japan 13 124 0.3× 235 0.7× 170 0.6× 92 0.5× 185 1.3× 31 767
Maria Rosito Italy 17 106 0.3× 430 1.3× 320 1.2× 56 0.3× 77 0.5× 32 1.1k
Alejandro D. Roth Chile 13 232 0.6× 319 1.0× 187 0.7× 22 0.1× 229 1.6× 22 859
Francesco Pisani Italy 22 200 0.5× 730 2.2× 129 0.5× 38 0.2× 50 0.3× 40 1.2k
Jens O. Watzlawik United States 16 117 0.3× 322 1.0× 147 0.5× 51 0.3× 105 0.7× 36 837
Vasileios Mastorodemos Greece 17 238 0.6× 234 0.7× 66 0.2× 44 0.3× 42 0.3× 38 919

Countries citing papers authored by Geert J. Schenk

Since Specialization
Citations

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

Fields of papers citing papers by Geert J. Schenk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Geert J. Schenk. 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 Geert J. Schenk. The network helps show where Geert J. Schenk may publish in the future.

Co-authorship network of co-authors of Geert J. Schenk

This figure shows the co-authorship network connecting the top 25 collaborators of Geert J. Schenk. A scholar is included among the top collaborators of Geert J. Schenk 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 Geert J. Schenk. Geert J. Schenk 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.
Idema, Sander, Bert A. ‘t Hart, Mitko Veta, et al.. (2025). Dynamic imaging of myelin pathology in physiologically preserved human brain tissue using third harmonic generation microscopy. PLoS ONE. 20(3). e0310663–e0310663. 1 indexed citations
2.
Pol, Susanne M. A. van der, Ysbrand D. van der Werf, Laura E. Jonkman, et al.. (2025). Thalamic atrophy in multiple sclerosis is associated with tract disconnection and altered microglia. Acta Neuropathologica. 149(1). 52–52.
3.
Hart, Bert A. ‘t, et al.. (2022). The Forgotten Brother: The Innate-like B1 Cell in Multiple Sclerosis. Biomedicines. 10(3). 606–606. 8 indexed citations
4.
Ghorbani, Samira, Rajiv W. Jain, Brian M. Lozinski, et al.. (2022). Versican promotes T helper 17 cytotoxic inflammation and impedes oligodendrocyte precursor cell remyelination. Nature Communications. 13(1). 2445–2445. 34 indexed citations
5.
Luchicchi, Antonio, Anne‐Marie van Dam, Laura Perna, et al.. (2021). Axon‐Myelin Unit Blistering as Early Event in MS Normal Appearing White Matter. Annals of Neurology. 89(4). 711–725. 40 indexed citations
6.
Teo, Wulin, Andrew V. Caprariello, Antonio Luchicchi, et al.. (2021). Nile Red fluorescence spectroscopy reports early physicochemical changes in myelin with high sensitivity. Proceedings of the National Academy of Sciences. 118(8). 59 indexed citations
7.
Strijbis, Eva, Antonio Luchicchi, John G. J. M. Bol, et al.. (2021). Myelin Quantification in White Matter Pathology of Progressive Multiple Sclerosis Post-Mortem Brain Samples: A New Approach for Quantifying Remyelination. International Journal of Molecular Sciences. 22(23). 12634–12634. 8 indexed citations
8.
Olst, Lynn van, Carmen Picón, Rachel James, et al.. (2021). Meningeal inflammation in multiple sclerosis induces phenotypic changes in cortical microglia that differentially associate with neurodegeneration. Acta Neuropathologica. 141(6). 881–899. 60 indexed citations
9.
Schenk, Geert J., et al.. (2020). Cysteine Proteases and Mitochondrial Instability: A Possible Vicious Cycle in MS Myelin?. Frontiers in Cellular Neuroscience. 14. 612383–612383. 1 indexed citations
10.
Yousuf, Muhammad Saad, Shawn M. Lamothe, Ana Catuneanu, et al.. (2020). Endoplasmic reticulum stress in the dorsal root ganglia regulates large‐conductance potassium channels and contributes to pain in a model of multiple sclerosis. The FASEB Journal. 34(9). 12577–12598. 24 indexed citations
11.
Derks, Jolanda, Pieter Wesseling, Ellen W. S. Carbo, et al.. (2018). Oscillatory brain activity associates with neuroligin-3 expression and predicts progression free survival in patients with diffuse glioma. Journal of Neuro-Oncology. 140(2). 403–412. 28 indexed citations
12.
Meijer, Kim, Martijn D. Steenwijk, Petra J. W. Pouwels, et al.. (2018). Structural network topology relates to tissue properties in multiple sclerosis. Journal of Neurology. 266(1). 212–222. 6 indexed citations
13.
Schenk, Geert J., et al.. (2018). Insights into the Mechanisms That May Clarify Obesity as a Risk Factor for Multiple Sclerosis. Current Neurology and Neuroscience Reports. 18(4). 18–18. 21 indexed citations
14.
Brideau, Craig, et al.. (2018). Lipid biochemical changes detected in normal appearing white matter of chronic multiple sclerosis by spectral coherent Raman imaging. Chemical Science. 9(6). 1586–1595. 21 indexed citations
15.
Schenk, Geert J. & Helga E. de Vries. (2016). Altered blood–brain barrier transport in neuro-inflammatory disorders. Drug Discovery Today Technologies. 20. 5–11. 34 indexed citations
16.
Klaver, Roel, Helga E. de Vries, Geert J. Schenk, & Jeroen Geurts. (2013). Grey matter damage in multiple sclerosis. Prion. 7(1). 66–75. 81 indexed citations
17.
Schenk, Geert J., Sipke Dijkstra, Susanne M. A. van der Pol, et al.. (2013). Roles for HB‐EGF and CD9 in multiple sclerosis. Glia. 61(11). 1890–1905. 23 indexed citations
18.
Schenk, Geert J., Barbera Veldhuisen, Theo Schouten, et al.. (2010). Over-expression of δC-DCLK-short in mouse brain results in a more anxious behavioral phenotype. Physiology & Behavior. 101(4). 541–548. 4 indexed citations
19.
Schenk, Geert J., Taco R. Werkman, Wytse J. Wadman, et al.. (2010). Over-expression of the DCLK gene transcript CARP decreases CA3/CA1 network excitability. Brain Research. 1352. 21–34. 6 indexed citations
20.
Schenk, Geert J., Bart Engels, Yanping Zhang, et al.. (2007). A potential role for calcium / calmodulin‐dependent protein kinase‐related peptide in neuronal apoptosis: in vivo and in vitro evidence. European Journal of Neuroscience. 26(12). 3411–3420. 17 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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