Bert M. Verheijen

784 total citations
18 papers, 450 citations indexed

About

Bert M. Verheijen is a scholar working on Molecular Biology, Neurology and Cell Biology. According to data from OpenAlex, Bert M. Verheijen has authored 18 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 6 papers in Neurology and 5 papers in Cell Biology. Recurrent topics in Bert M. Verheijen's work include Parkinson's Disease Mechanisms and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers) and Alzheimer's disease research and treatments (4 papers). Bert M. Verheijen is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (5 papers), Ubiquitin and proteasome pathways (4 papers) and Alzheimer's disease research and treatments (4 papers). Bert M. Verheijen collaborates with scholars based in Netherlands, United States and Japan. Bert M. Verheijen's co-authors include R. Jeroen Pasterkamp, Fred W. van Leeuwen, Marc Vermulst, Eleonora Aronica, Ralf J. Braun, Peter Sodaar, Jan H. Veldink, Jasper J. Anink, Andreas Aufschnaiter and Jeroen den Hertog and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Bert M. Verheijen

17 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bert M. Verheijen Netherlands 10 304 133 123 79 77 18 450
Lindsey D. Goodman United States 12 241 0.8× 117 0.9× 41 0.3× 80 1.0× 124 1.6× 24 451
Ina Woods Ireland 14 325 1.1× 145 1.1× 56 0.5× 49 0.6× 76 1.0× 19 547
Jinchong Xu United States 12 317 1.0× 72 0.5× 118 1.0× 70 0.9× 25 0.3× 15 499
I‐Fang Wang Taiwan 9 219 0.7× 268 2.0× 53 0.4× 110 1.4× 116 1.5× 11 543
Julianne Aebischer France 9 249 0.8× 289 2.2× 55 0.4× 58 0.7× 184 2.4× 11 493
Ketan S. Patil United States 8 229 0.8× 112 0.8× 84 0.7× 66 0.8× 16 0.2× 10 412
Verena Theis Germany 12 227 0.7× 59 0.4× 44 0.4× 27 0.3× 58 0.8× 19 372
Mukesh Gautam United States 12 214 0.7× 184 1.4× 33 0.3× 41 0.5× 120 1.6× 18 472
Jiyeon Lim South Korea 10 325 1.1× 43 0.3× 192 1.6× 115 1.5× 35 0.5× 12 562
Matthew J. Keuss United Kingdom 6 303 1.0× 88 0.7× 42 0.3× 50 0.6× 26 0.3× 7 426

Countries citing papers authored by Bert M. Verheijen

Since Specialization
Citations

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

Fields of papers citing papers by Bert M. Verheijen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bert M. Verheijen. 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 Bert M. Verheijen. The network helps show where Bert M. Verheijen may publish in the future.

Co-authorship network of co-authors of Bert M. Verheijen

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

All Works

18 of 18 papers shown
1.
Symons, Jori, Claire Chung, Bert M. Verheijen, et al.. (2025). The mutational landscape of SARS-CoV-2 provides new insight into viral evolution and fitness. Nature Communications. 16(1). 6425–6425. 1 indexed citations
2.
Verheijen, Bert M. & Marc Vermulst. (2024). Linking Environmental Genotoxins to Neurodegenerative Diseases Through Transcriptional Mutagenesis. International Journal of Molecular Sciences. 25(21). 11429–11429. 2 indexed citations
3.
Qi, Chao, Bert M. Verheijen, Yasumasa Kokubo, et al.. (2023). Tau filaments from amyotrophic lateral sclerosis/parkinsonism-dementia complex adopt the CTE fold. Proceedings of the National Academy of Sciences. 120(51). e2306767120–e2306767120. 22 indexed citations
4.
Maniv, Inbal, Elle Koren, Noa Reis, et al.. (2023). Altered ubiquitin signaling induces Alzheimer’s disease-like hallmarks in a three-dimensional human neural cell culture model. Nature Communications. 14(1). 5922–5922. 28 indexed citations
5.
Chung, Claire, et al.. (2021). Transcription errors in aging and disease. SHILAP Revista de lepidopterología. 5. 31–38. 9 indexed citations
6.
Varderidou‐Minasian, Suzy, Bert M. Verheijen, Oliver Harschnitz, et al.. (2021). Spinal Muscular Atrophy Patient iPSC-Derived Motor Neurons Display Altered Proteomes at Early Stages of Differentiation. ACS Omega. 6(51). 35375–35388. 8 indexed citations
7.
Verheijen, Bert M., Satoru Morimoto, Ryogen Sasaki, et al.. (2020). Expression of Mutant Ubiquitin and Proteostasis Impairment in Kii Amyotrophic Lateral Sclerosis/Parkinsonism-Dementia Complex Brains. Journal of Neuropathology & Experimental Neurology. 79(8). 902–907. 6 indexed citations
8.
Varderidou‐Minasian, Suzy, Bert M. Verheijen, Philipp Schätzle, et al.. (2020). Deciphering the Proteome Dynamics during Development of Neurons Derived from Induced Pluripotent Stem Cells. Journal of Proteome Research. 19(6). 2391–2403. 17 indexed citations
9.
Verheijen, Bert M., et al.. (2019). Activation of the Unfolded Protein Response and Proteostasis Disturbance in Parkinsonism-Dementia of Guam. Journal of Neuropathology & Experimental Neurology. 79(1). 34–45. 7 indexed citations
10.
Aufschnaiter, Andreas, et al.. (2018). TDP-43 controls lysosomal pathways thereby determining its own clearance and cytotoxicity. Human Molecular Genetics. 27(9). 1593–1607. 49 indexed citations
11.
Verheijen, Bert M., Marc Vermulst, & Fred W. van Leeuwen. (2018). Somatic mutations in neurons during aging and neurodegeneration. Acta Neuropathologica. 135(6). 811–826. 35 indexed citations
12.
Verheijen, Bert M., Jo Stevens, Daniël van den Hove, et al.. (2018). Paradoxical effects of mutant ubiquitin on Aβ plaque formation in an Alzheimer mouse model. Neurobiology of Aging. 72. 62–71. 9 indexed citations
13.
Verheijen, Bert M., Kiyomitsu Oyanagi, & Fred W. van Leeuwen. (2018). Dysfunction of Protein Quality Control in Parkinsonism–Dementia Complex of Guam. Frontiers in Neurology. 9. 173–173. 8 indexed citations
14.
Rademacher, Sebastian, Bert M. Verheijen, Niko Hensel, et al.. (2017). Metalloprotease-mediated cleavage of PlexinD1 and its sequestration to actin rods in the motoneuron disease spinal muscular atrophy (SMA). Human Molecular Genetics. 26(20). 3946–3959. 13 indexed citations
15.
Verheijen, Bert M., et al.. (2016). Selective Transgenic Expression of Mutant Ubiquitin in Purkinje Cell Stripes in the Cerebellum. The Cerebellum. 16(3). 746–750. 2 indexed citations
16.
Blokhuis, Anna M., Max Koppers, Ewout J. N. Groen, et al.. (2016). Comparative interactomics analysis of different ALS-associated proteins identifies converging molecular pathways. Acta Neuropathologica. 132(2). 175–196. 103 indexed citations
17.
Verheijen, Bert M., et al.. (2016). Circular RNAs: Novel Regulators of Neuronal Development. Frontiers in Molecular Neuroscience. 9. 74–74. 119 indexed citations
18.
Verheijen, Bert M., Margherita Zamboni, Benno Küsters, et al.. (2015). Localization of mutant ubiquitin in the brain of a transgenic mouse line with proteasomal inhibition and its validation at specific sites in Alzheimer's disease. Frontiers in Neuroanatomy. 9. 26–26. 12 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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