Erik van der Wal

3.5k total citations
29 papers, 637 citations indexed

About

Erik van der Wal is a scholar working on Molecular Biology, Astronomy and Astrophysics and Electrical and Electronic Engineering. According to data from OpenAlex, Erik van der Wal has authored 29 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Astronomy and Astrophysics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Erik van der Wal's work include Radio Astronomy Observations and Technology (8 papers), Muscle Physiology and Disorders (7 papers) and Antenna Design and Optimization (6 papers). Erik van der Wal is often cited by papers focused on Radio Astronomy Observations and Technology (8 papers), Muscle Physiology and Disorders (7 papers) and Antenna Design and Optimization (6 papers). Erik van der Wal collaborates with scholars based in Netherlands, Germany and United Kingdom. Erik van der Wal's co-authors include W.W.M. Pim Pijnappel, Ans T. van der Ploeg, M. Ruiter, Atze J. Bergsma, G. W. Kant, Stefan J. Wijnholds, Stijn L.M. in ‘t Groen, Claudia M. van Tiel, Kondababu Kurakula and Carlie J.M. de Vries and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Brain.

In The Last Decade

Erik van der Wal

27 papers receiving 631 citations

Peers

Erik van der Wal
Brianna M. Craver United States
Qingling Wu United States
Mathieu Canales Switzerland
Elizabeth D. Hughes United States
H Sugita Japan
Brianna M. Craver United States
Erik van der Wal
Citations per year, relative to Erik van der Wal Erik van der Wal (= 1×) peers Brianna M. Craver

Countries citing papers authored by Erik van der Wal

Since Specialization
Citations

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

Fields of papers citing papers by Erik van der Wal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik van der Wal. 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 Erik van der Wal. The network helps show where Erik van der Wal may publish in the future.

Co-authorship network of co-authors of Erik van der Wal

This figure shows the co-authorship network connecting the top 25 collaborators of Erik van der Wal. A scholar is included among the top collaborators of Erik van der Wal 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 Erik van der Wal. Erik van der Wal 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.
Franken, Marnix, Erik van der Wal, Bianca den Hamer, et al.. (2024). Three-dimensional tissue engineered skeletal muscle modelling facioscapulohumeral muscular dystrophy. Brain. 148(5). 1723–1739. 3 indexed citations
2.
Pinto-Fernández, Adán, Andreas Damianou, Iolanda Vendrell, et al.. (2023). USP18 is an essential regulator of muscle cell differentiation and maturation. Cell Death and Disease. 14(3). 231–231. 8 indexed citations
3.
Wal, Erik van der, Stijn L.M. in ‘t Groen, Bianca den Hamer, et al.. (2023). Highly contractile 3D tissue engineered skeletal muscles from human iPSCs reveal similarities with primary myoblast-derived tissues. Stem Cell Reports. 18(10). 1954–1971. 15 indexed citations
4.
Bielawski, Krzysztof, et al.. (2023). Real‐time and Multichannel Measurement of Contractility of hiPSC‐Derived 3D Skeletal Muscle using Fiber Optics‐Based Sensing. Advanced Materials Technologies. 8(22). 13 indexed citations
5.
Wal, Erik van der, Domagoj Cikes, Jessica C. de Greef, et al.. (2020). Cytoskeletal disorganization underlies PABPN1-mediated myogenic disability. Scientific Reports. 10(1). 17621–17621. 4 indexed citations
6.
Wal, Erik van der, et al.. (2020). Coupling 3D Printing and Novel Replica Molding for In House Fabrication of Skeletal Muscle Tissue Engineering Devices. Advanced Materials Technologies. 5(9). 34 indexed citations
7.
Wal, Erik van der, Bianca den Hamer, Patrick J. van der Vliet, et al.. (2019). Generation of genetically matched hiPSC lines from two mosaic facioscapulohumeral dystrophy type 1 patients. Stem Cell Research. 40. 101560–101560. 5 indexed citations
8.
Wal, Erik van der, Raymond Wan, Stijn L.M. in ‘t Groen, et al.. (2018). Large-Scale Expansion of Human iPSC-Derived Skeletal Muscle Cells for Disease Modeling and Cell-Based Therapeutic Strategies. Stem Cell Reports. 10(6). 1975–1990. 79 indexed citations
9.
Wal, Erik van der, et al.. (2017). Antisense Oligonucleotides Promote Exon Inclusion and Correct the Common c.-32-13T>G GAA Splicing Variant in Pompe Disease. Molecular Therapy — Nucleic Acids. 7. 90–100. 54 indexed citations
10.
Wal, Erik van der, Atze J. Bergsma, Stijn L.M. in ‘t Groen, et al.. (2017). GAA Deficiency in Pompe Disease Is Alleviated by Exon Inclusion in iPSC-Derived Skeletal Muscle Cells. Molecular Therapy — Nucleic Acids. 7. 101–115. 49 indexed citations
11.
Bergsma, Atze J., et al.. (2017). Alternative Splicing in Genetic Diseases: Improved Diagnosis and Novel Treatment Options. International review of cell and molecular biology. 335. 85–141. 28 indexed citations
12.
Esch, Celine de, Mehrnaz Ghazvini, Friedemann Loos, et al.. (2014). Epigenetic Characterization of the FMR1 Promoter in Induced Pluripotent Stem Cells from Human Fibroblasts Carrying an Unmethylated Full Mutation. Stem Cell Reports. 3(4). 548–555. 44 indexed citations
13.
Pijnappel, W.W.M. Pim, Daniel Esch, Marijke Baltissen, et al.. (2013). A central role for TFIID in the pluripotent transcription circuitry. Nature. 495(7442). 516–519. 64 indexed citations
14.
Tiel, Claudia M. van, Kondababu Kurakula, Duco S. Koenis, Erik van der Wal, & Carlie J.M. de Vries. (2012). Dual function of Pin1 in NR4A nuclear receptor activation: Enhanced activity of NR4As and increased Nur77 protein stability. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1823(10). 1894–1904. 25 indexed citations
15.
Raz, Vered, Samantha Routledge, Andrea Venema, et al.. (2011). Modeling Oculopharyngeal Muscular Dystrophy in Myotube Cultures Reveals Reduced Accumulation of Soluble Mutant PABPN1 Protein. American Journal Of Pathology. 179(4). 1988–2000. 32 indexed citations
16.
Kant, G. W., Stefan J. Wijnholds, M. Arts, et al.. (2011). Aperture array development for future large radio telescopes. Chalmers Publication Library (Chalmers University of Technology). 2601–2605. 6 indexed citations
17.
Wijnholds, Stefan J., G. W. Kant, Erik van der Wal, et al.. (2011). EMBRACE: First experimental Results with the Initial 10% of a 10,000 Element Phased Array Radio Telescope. 43–43. 2 indexed citations
18.
Kurakula, Kondababu, Erik van der Wal, Dirk Geerts, Claudia M. van Tiel, & Carlie J.M. de Vries. (2011). FHL2 Protein Is a Novel Co-repressor of Nuclear Receptor Nur77. Journal of Biological Chemistry. 286(52). 44336–44343. 39 indexed citations
19.
Monari, Jader, Federico Perini, Sergio Mariotti, et al.. (2009). EMBRACE receiver design. 40. 2 indexed citations
20.
Visser, Klaas, Erik van der Wal, M. Ruiter, & D. Kant. (2008). A 400 MHz - 1600 MHz SiGe MMIC beam-former for the Square Kilometre Array. 36. 1521–1524. 1 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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