Gert van Cappellen

1.3k total citations · 1 hit paper
7 papers, 1.0k citations indexed

About

Gert van Cappellen is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Gert van Cappellen has authored 7 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Genetics and 1 paper in Oncology. Recurrent topics in Gert van Cappellen's work include Ubiquitin and proteasome pathways (2 papers), Connective tissue disorders research (2 papers) and Dermatological and Skeletal Disorders (1 paper). Gert van Cappellen is often cited by papers focused on Ubiquitin and proteasome pathways (2 papers), Connective tissue disorders research (2 papers) and Dermatological and Skeletal Disorders (1 paper). Gert van Cappellen collaborates with scholars based in Netherlands, United States and Poland. Gert van Cappellen's co-authors include Bjorn Dortland, Chris I. De Zeeuw, Frank Grosveld, Anna Akhmanova, Niels Galjart, Gideon Lansbergen, Т. Ф. Степанова, Casper C. Hoogenraad, Michal Heger and Gerd A. Kullak‐Ublick and has published in prestigious journals such as Journal of Neuroscience, Molecular and Cellular Biology and Journal of Hepatology.

In The Last Decade

Gert van Cappellen

7 papers receiving 1.0k citations

Hit Papers

Visualization of Microtubule Growth in Cultured Neurons v... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gert van Cappellen Netherlands 6 497 438 185 173 118 7 1.0k
Shinya Ohata Japan 14 441 0.9× 207 0.5× 146 0.8× 172 1.0× 46 0.4× 37 789
Ina Kalus Germany 16 590 1.2× 525 1.2× 146 0.8× 115 0.7× 19 0.2× 18 965
Catherine L. Keck United States 12 821 1.7× 183 0.4× 299 1.6× 262 1.5× 36 0.3× 20 1.3k
Lev M. Fedorov United States 12 823 1.7× 115 0.3× 73 0.4× 142 0.8× 50 0.4× 34 1.1k
Matthieu Vermeren United Kingdom 14 335 0.7× 149 0.3× 345 1.9× 35 0.2× 66 0.6× 20 890
Alessia Errico Italy 15 788 1.6× 446 1.0× 349 1.9× 91 0.5× 19 0.2× 51 1.4k
M. Kasim Diril Singapore 13 742 1.5× 521 1.2× 134 0.7× 94 0.5× 42 0.4× 19 987
Takayuki Nagasaki United States 25 857 1.7× 488 1.1× 105 0.6× 90 0.5× 26 0.2× 92 1.6k
Yuji Funakoshi Japan 18 786 1.6× 211 0.5× 96 0.5× 74 0.4× 19 0.2× 32 1.0k
Diego Gravotta United States 19 934 1.9× 746 1.7× 116 0.6× 126 0.7× 19 0.2× 27 1.3k

Countries citing papers authored by Gert van Cappellen

Since Specialization
Citations

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

Fields of papers citing papers by Gert van Cappellen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gert van Cappellen. 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 Gert van Cappellen. The network helps show where Gert van Cappellen may publish in the future.

Co-authorship network of co-authors of Gert van Cappellen

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

All Works

7 of 7 papers shown
1.
Vliet, Nicole van, Paula van Heijningen, Heena Kumra, et al.. (2019). Fibulin-4 deficiency differentially affects cytoskeleton structure and dynamics as well as TGFβ signaling. Cellular Signalling. 58. 65–78. 18 indexed citations
2.
Kumra, Heena, Gert‐Jan Kremers, Maria M. Alves, et al.. (2019). Fibulin-4 deficiency differentially affects cytoskeleton structure and dynamics as well as TGF beta signaling. EUR Research Repository (Erasmus University Rotterdam). 1 indexed citations
3.
Graaf, Wilmar de, Stéphanie Häusler, Michal Heger, et al.. (2010). Transporters involved in the hepatic uptake of 99mTc-mebrofenin and indocyanine green. Journal of Hepatology. 54(4). 738–745. 235 indexed citations
4.
Rommerts, F. F. G., et al.. (2004). Specific dose-dependent effects of ethane 1,2-dimethanesulfonate in rat and mouse Leydig cells and non-steroidogenic cells on programmed cell death. Journal of Endocrinology. 181(1). 169–178. 10 indexed citations
5.
Baarends, Willy M., Evelyne Wassenaar, Jos W. Hoogerbrugge, et al.. (2003). Loss of HR6B Ubiquitin-Conjugating Activity Results in Damaged Synaptonemal Complex Structure and Increased Crossing-Over Frequency during the Male Meiotic Prophase. Molecular and Cellular Biology. 23(4). 1151–1162. 88 indexed citations
6.
Степанова, Т. Ф., Casper C. Hoogenraad, Gideon Lansbergen, et al.. (2003). Visualization of Microtubule Growth in Cultured Neurons via the Use of EB3-GFP (End-Binding Protein 3-Green Fluorescent Protein). Journal of Neuroscience. 23(7). 2655–2664. 548 indexed citations breakdown →
7.
Diego‐Otero, Yolanda de, Lies‐Anne Severijnen, Gert van Cappellen, et al.. (2002). Transport of Fragile X Mental Retardation Protein via Granules in Neurites of PC12 Cells. Molecular and Cellular Biology. 22(23). 8332–8341. 124 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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