Wouter van Zon

678 total citations
9 papers, 560 citations indexed

About

Wouter van Zon is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Wouter van Zon has authored 9 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Cell Biology and 2 papers in Oncology. Recurrent topics in Wouter van Zon's work include Microtubule and mitosis dynamics (7 papers), Ubiquitin and proteasome pathways (5 papers) and Cellular transport and secretion (3 papers). Wouter van Zon is often cited by papers focused on Microtubule and mitosis dynamics (7 papers), Ubiquitin and proteasome pathways (5 papers) and Cellular transport and secretion (3 papers). Wouter van Zon collaborates with scholars based in Netherlands, United Kingdom and United States. Wouter van Zon's co-authors include Rob M.F. Wolthuis, Christina Karlsson, Arne Lindqvist, René H. Medema, Janneke Ogink, Mona Yekezare, Jonathon Pines, Bas ter Riet, Hein te Riele and Linda Clijsters and has published in prestigious journals such as The Journal of Cell Biology, Molecular Cell and PLoS ONE.

In The Last Decade

Wouter van Zon

9 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wouter van Zon Netherlands	9	488	348	139	45	42	9	560
Joëlle Blot United Kingdom	7	450 0.9×	258 0.7×	78 0.6×	34 0.8×	51 1.2×	7	520
Mona Yekezare United Kingdom	5	559 1.1×	386 1.1×	144 1.0×	56 1.2×	33 0.8×	6	611
Josephine E. Sutcliffe United Kingdom	8	489 1.0×	233 0.7×	163 1.2×	42 0.9×	34 0.8×	8	581
Tamar Listovsky Israel	9	478 1.0×	340 1.0×	115 0.8×	52 1.2×	28 0.7×	15	528
Satoru Mimura Japan	9	723 1.5×	259 0.7×	106 0.8×	56 1.2×	81 1.9×	14	775
Yohei Niikura United States	11	470 1.0×	237 0.7×	127 0.9×	120 2.7×	51 1.2×	19	551
Marina Melixetian Italy	11	739 1.5×	291 0.8×	215 1.5×	45 1.0×	54 1.3×	14	799
Bernardo Orr Portugal	15	466 1.0×	355 1.0×	102 0.7×	86 1.9×	41 1.0×	19	591
Claudio Alfieri United Kingdom	12	717 1.5×	478 1.4×	106 0.8×	111 2.5×	35 0.8×	15	810
Vikas Daggubati United States	9	420 0.9×	344 1.0×	112 0.8×	67 1.5×	112 2.7×	14	527

Countries citing papers authored by Wouter van Zon

Since Specialization

Citations

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

Fields of papers citing papers by Wouter van Zon

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wouter van Zon

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

All Works

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9 of 9 papers shown

1.

Gruenheit, Nicole, Katie Parkinson, Koki Nagayama, et al.. (2018). Cell Cycle Heterogeneity Can Generate Robust Cell Type Proportioning. Developmental Cell. 47(4). 494–508.e4. 26 indexed citations

2.

Clijsters, Linda, Wouter van Zon, Bas ter Riet, et al.. (2014). Inefficient degradation of cyclin B1 re-activates the spindle checkpoint right after sister chromatid disjunction. Cell Cycle. 13(15). 2370–2378. 17 indexed citations

3.

Zon, Wouter van, Janneke Ogink, Bas ter Riet, et al.. (2010). The APC/C recruits cyclin B1–Cdk1–Cks in prometaphase before D box recognition to control mitotic exit. The Journal of Cell Biology. 190(4). 587–602. 49 indexed citations

4.

Gurden, Mark D., Andrew J. Holland, Wouter van Zon, et al.. (2010). Cdc20 is required for the post-anaphase, KEN-dependent degradation of centromere protein F. Journal of Cell Science. 123(3). 321–330. 47 indexed citations

5.

Zon, Wouter van & Rob M.F. Wolthuis. (2010). Cyclin A and Nek2A: APC/C–Cdc20 substrates invisible to the mitotic spindle checkpoint. Biochemical Society Transactions. 38(1). 72–77. 25 indexed citations

6.

Clijsters, Linda, Wouter van Zon, Dan Lim, et al.. (2009). Polo-Like Kinase-1 Controls Aurora A Destruction by Activating APC/C-Cdh1. PLoS ONE. 4(4). e5282–e5282. 30 indexed citations

7.

Lelij, Petra van der, Barbara C. Godthelp, Wouter van Zon, et al.. (2009). The Cellular Phenotype of Roberts Syndrome Fibroblasts as Revealed by Ectopic Expression of ESCO2. PLoS ONE. 4(9). e6936–e6936. 59 indexed citations

8.

Wolthuis, Rob M.F., Wouter van Zon, Mona Yekezare, et al.. (2008). Cdc20 and Cks Direct the Spindle Checkpoint-Independent Destruction of Cyclin A. Molecular Cell. 30(3). 290–302. 157 indexed citations

9.

Lindqvist, Arne, Wouter van Zon, Christina Karlsson, & Rob M.F. Wolthuis. (2007). Cyclin B1–Cdk1 Activation Continues after Centrosome Separation to Control Mitotic Progression. PLoS Biology. 5(5). e123–e123. 150 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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