Kim Van Roey

4.6k total citations
11 papers, 1.5k citations indexed

About

Kim Van Roey is a scholar working on Molecular Biology, Pharmacology and Cell Biology. According to data from OpenAlex, Kim Van Roey has authored 11 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 2 papers in Pharmacology and 1 paper in Cell Biology. Recurrent topics in Kim Van Roey's work include Ubiquitin and proteasome pathways (6 papers), Fungal and yeast genetics research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Kim Van Roey is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Fungal and yeast genetics research (3 papers) and Bioinformatics and Genomic Networks (3 papers). Kim Van Roey collaborates with scholars based in Germany, United Kingdom and Ireland. Kim Van Roey's co-authors include Toby J. Gibson, Norman E. Davey, Holger Dinkel, Robert J. Weatheritt, Bora Uyar, Aidan Budd, Francesca Diella, Brigitte Altenberg, Markus Seiler and Grischa Toedt and has published in prestigious journals such as Chemical Reviews, Nucleic Acids Research and Current Opinion in Structural Biology.

In The Last Decade

Kim Van Roey

11 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim Van Roey Germany	9	1.3k	201	164	105	93	11	1.5k
Gábor Erdős Hungary	9	1.5k 1.1×	159 0.8×	167 1.0×	133 1.3×	68 0.7×	15	1.7k
Bora Uyar Germany	18	1.6k 1.2×	202 1.0×	159 1.0×	173 1.6×	100 1.1×	23	1.9k
Rita Pancsa Hungary	24	1.6k 1.3×	170 0.8×	285 1.7×	127 1.2×	124 1.3×	45	1.8k
Gabriela C. Pérez-Alvarado United States	16	1.4k 1.1×	156 0.8×	277 1.7×	132 1.3×	70 0.8×	17	1.8k
Takuhiro Ito Japan	26	1.4k 1.1×	213 1.1×	105 0.6×	137 1.3×	40 0.4×	58	1.7k
Yuliya Gordiyenko United Kingdom	21	1.3k 1.0×	138 0.7×	86 0.5×	213 2.0×	91 1.0×	32	1.5k
Holger Dinkel Germany	12	1.8k 1.4×	227 1.1×	186 1.1×	129 1.2×	258 2.8×	15	2.1k
Tomás Di Domenico Italy	20	1.5k 1.2×	84 0.4×	306 1.9×	132 1.3×	104 1.1×	30	1.7k
Mainak Guharoy Belgium	18	1.0k 0.8×	132 0.7×	227 1.4×	60 0.6×	62 0.7×	26	1.2k
Yugong Cheng United States	8	1.4k 1.1×	182 0.9×	472 2.9×	105 1.0×	137 1.5×	9	1.7k

Countries citing papers authored by Kim Van Roey

Since Specialization

Citations

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

Fields of papers citing papers by Kim Van Roey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim Van Roey. 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 Kim Van Roey. The network helps show where Kim Van Roey may publish in the future.

Co-authorship network of co-authors of Kim Van Roey

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

All Works

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11 of 11 papers shown

Gouw, Marc, Jelena Čalyševa, Francesca Diella, et al.. (2020). How to Annotate and Submit a Short Linear Motif to the Eukaryotic Linear Motif Resource. Methods in molecular biology. 2141. 73–102. 4 indexed citations

Gouw, Marc, Hugo Sámano‐Sánchez, Kim Van Roey, et al.. (2017). Exploring Short Linear Motifs Using the ELM Database and Tools. Current Protocols in Bioinformatics. 58(1). 8.22.1–8.22.35. 21 indexed citations

Roey, Kim Van & Norman E. Davey. (2015). Motif co-regulation and co-operativity are common mechanisms in transcriptional, post-transcriptional and post-translational regulation. Cell Communication and Signaling. 13(1). 45–45. 21 indexed citations

Gibson, Toby J., Holger Dinkel, Kim Van Roey, & Francesca Diella. (2015). Experimental detection of short regulatory motifs in eukaryotic proteins: tips for good practice as well as for bad. Cell Communication and Signaling. 13(1). 42–42. 47 indexed citations

Roey, Kim Van, Bora Uyar, Robert J. Weatheritt, et al.. (2014). Short Linear Motifs: Ubiquitous and Functionally Diverse Protein Interaction Modules Directing Cell Regulation. Chemical Reviews. 114(13). 6733–6778. 335 indexed citations

Roey, Kim Van, Sandra Orchard, Samuel Kerrien, et al.. (2013). Capturing cooperative interactions with the PSI-MI format. Database. 2013. bat066–bat066. 9 indexed citations

Roey, Kim Van, Holger Dinkel, Robert J. Weatheritt, Toby J. Gibson, & Norman E. Davey. (2013). The switches.ELM Resource: A Compendium of Conditional Regulatory Interaction Interfaces. Science Signaling. 6(269). rs7–rs7. 212 indexed citations

Dinkel, Holger, Kim Van Roey, Sushama Michael, et al.. (2013). The eukaryotic linear motif resource ELM: 10 years and counting. Nucleic Acids Research. 42(D1). D259–D266. 234 indexed citations

Roey, Kim Van, Toby J. Gibson, & Norman E. Davey. (2012). Motif switches: decision-making in cell regulation. Current Opinion in Structural Biology. 22(3). 378–385. 122 indexed citations

10.

Davey, Norman E., Kim Van Roey, Robert J. Weatheritt, et al.. (2011). Attributes of short linear motifs. Molecular BioSystems. 8(1). 268–281. 455 indexed citations

11.

Roey, Kim Van, Martijn F. L. Derks, Jeroen Poels, & Jozef Vanden Broeck. (2004). Genomics and Evolution of Metazoan Gα proteins. 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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