Glenn van de Hoek

560 total citations
8 papers, 344 citations indexed

About

Glenn van de Hoek is a scholar working on Molecular Biology, Oncology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Glenn van de Hoek has authored 8 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Glenn van de Hoek's work include Renal and related cancers (3 papers), Renal cell carcinoma treatment (2 papers) and Lymphatic System and Diseases (2 papers). Glenn van de Hoek is often cited by papers focused on Renal and related cancers (3 papers), Renal cell carcinoma treatment (2 papers) and Lymphatic System and Diseases (2 papers). Glenn van de Hoek collaborates with scholars based in Netherlands, Switzerland and Germany. Glenn van de Hoek's co-authors include Rachel H. Giles, Stefan Schulte‐Merker, Terhi Kärpänen, Andrea Raimondi, Beatrice Paola Festa, Olivier Devuyst, Marine Berquez, Zhiyong Chen, Nathalie Névo and Huguette Debaix and has published in prestigious journals such as Nature Communications, Circulation Research and Molecular and Cellular Biology.

In The Last Decade

Glenn van de Hoek

8 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Glenn van de Hoek Netherlands 7 201 73 66 65 64 8 344
Adrienne S. McCampbell United States 12 253 1.3× 105 1.4× 80 1.2× 44 0.7× 76 1.2× 15 537
Michelle M. Thiaville United States 11 422 2.1× 57 0.8× 93 1.4× 137 2.1× 77 1.2× 14 534
Holly Dushkin United States 12 179 0.9× 155 2.1× 126 1.9× 24 0.4× 67 1.0× 18 455
Olga María Bermúdez France 7 376 1.9× 97 1.3× 36 0.5× 47 0.7× 80 1.3× 7 570
Maryvonne Busson‐Le Coniat France 9 329 1.6× 81 1.1× 108 1.6× 24 0.4× 65 1.0× 15 650
C. Huysmans Belgium 12 319 1.6× 59 0.8× 67 1.0× 23 0.4× 89 1.4× 13 505
Margaret F. Fox United Kingdom 8 183 0.9× 61 0.8× 48 0.7× 40 0.6× 49 0.8× 11 416
Xiao-Ying Hao United States 6 130 0.6× 63 0.9× 69 1.0× 21 0.3× 55 0.9× 8 329
Prashant Bommi United States 11 397 2.0× 142 1.9× 25 0.4× 28 0.4× 124 1.9× 15 506
C. Szpirer Belgium 15 274 1.4× 30 0.4× 107 1.6× 52 0.8× 43 0.7× 26 401

Countries citing papers authored by Glenn van de Hoek

Since Specialization
Citations

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

Fields of papers citing papers by Glenn van de Hoek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glenn van de Hoek. 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 Glenn van de Hoek. The network helps show where Glenn van de Hoek may publish in the future.

Co-authorship network of co-authors of Glenn van de Hoek

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

All Works

8 of 8 papers shown
1.
Fazio, Maurizio, Ellen van Rooijen, Michelle Dang, et al.. (2021). SATB2 induction of a neural crest mesenchyme-like program drives melanoma invasion and drug resistance. eLife. 10. 9 indexed citations
2.
Lei, Zhiyong, Timothy D. Klasson, Maarten M. Brandt, et al.. (2020). Control of Angiogenesis via a VHL/miR-212/132 Axis. Cells. 9(4). 1017–1017. 13 indexed citations
3.
Festa, Beatrice Paola, Zhiyong Chen, Marine Berquez, et al.. (2018). Impaired autophagy bridges lysosomal storage disease and epithelial dysfunction in the kidney. Nature Communications. 9(1). 161–161. 103 indexed citations
4.
Rooijen, Ellen van, Glenn van de Hoek, Ive Logister, et al.. (2018). The <b><i>von Hippel-Lindau</i></b> Gene Is Required to Maintain Renal Proximal Tubule and Glomerulus Integrity in Zebrafish Larvae. ˜The œNephron journals/Nephron journals. 138(4). 310–323. 6 indexed citations
5.
Kärpänen, Terhi, Serge A. van de Pavert, Cathrin Dierkes, et al.. (2017). An Evolutionarily Conserved Role for Polydom/Svep1 During Lymphatic Vessel Formation. Circulation Research. 120(8). 1263–1275. 49 indexed citations
6.
Slaats, Gisela G., Amiya K. Ghosh, Lucas L. Falke, et al.. (2014). Nephronophthisis-Associated CEP164 Regulates Cell Cycle Progression, Apoptosis and Epithelial-to-Mesenchymal Transition. PLoS Genetics. 10(10). e1004594–e1004594. 64 indexed citations
7.
Hoek, Glenn van de, Nayia Nicolaou, Rachel H. Giles, et al.. (2014). Functional Models for Congenital Anomalies of the Kidney and Urinary Tract. ˜The œNephron journals/Nephron journals. 129(1). 62–67. 7 indexed citations
8.
Pedrioli, Deena M. Leslie, Terhi Kärpänen, Giorgia Jurisic, et al.. (2010). miR-31 Functions as a Negative Regulator of Lymphatic Vascular Lineage-Specific Differentiation In Vitro and Vascular Development In Vivo. Molecular and Cellular Biology. 30(14). 3620–3634. 93 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026