Wim Versées

4.0k total citations · 1 hit paper
82 papers, 2.9k citations indexed

About

Wim Versées is a scholar working on Molecular Biology, Epidemiology and Physiology. According to data from OpenAlex, Wim Versées has authored 82 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 19 papers in Epidemiology and 17 papers in Physiology. Recurrent topics in Wim Versées's work include Biochemical and Molecular Research (26 papers), RNA and protein synthesis mechanisms (16 papers) and Trypanosoma species research and implications (16 papers). Wim Versées is often cited by papers focused on Biochemical and Molecular Research (26 papers), RNA and protein synthesis mechanisms (16 papers) and Trypanosoma species research and implications (16 papers). Wim Versées collaborates with scholars based in Belgium, Germany and Netherlands. Wim Versées's co-authors include Jan Steyaert, Jan Michiels, Natalie Verstraeten, Maarten Fauvart, Patrick Van Gelder, Lina Wauters, Arjan Kortholt, Wolfgang Meier, Egon Deyaert and Christian Johannes Gloeckner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Wim Versées

77 papers receiving 2.9k citations

Hit Papers

A homologue of the Parkinson’s disease-associated protein... 2017 2026 2020 2023 2017 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wim Versées Belgium 28 1.9k 404 279 260 255 82 2.9k
Manfred Auer United Kingdom 34 3.3k 1.7× 387 1.0× 232 0.8× 184 0.7× 321 1.3× 119 5.3k
Pål Stenmark Sweden 31 1.8k 0.9× 164 0.4× 184 0.7× 158 0.6× 203 0.8× 107 3.4k
Joseph A. Mindell United States 25 2.5k 1.3× 358 0.9× 466 1.7× 240 0.9× 327 1.3× 54 4.1k
Klaudia Brix Germany 33 1.7k 0.9× 287 0.7× 166 0.6× 214 0.8× 121 0.5× 108 3.8k
Roger Dawson Switzerland 17 2.4k 1.2× 243 0.6× 123 0.4× 338 1.3× 173 0.7× 27 3.7k
J. Seetharaman United States 29 2.0k 1.0× 309 0.8× 140 0.5× 223 0.9× 303 1.2× 80 3.0k
Brian O. Smith United Kingdom 32 2.1k 1.1× 371 0.9× 185 0.7× 153 0.6× 499 2.0× 88 3.5k
Stephen Yue United States 17 2.0k 1.0× 254 0.6× 117 0.4× 193 0.7× 267 1.0× 25 3.5k
Zhi‐Jie Liu China 41 3.6k 1.8× 357 0.9× 272 1.0× 626 2.4× 528 2.1× 184 5.6k
Emma Jean Bowman United States 31 4.0k 2.1× 330 0.8× 376 1.3× 158 0.6× 202 0.8× 48 5.3k

Countries citing papers authored by Wim Versées

Since Specialization
Citations

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

Fields of papers citing papers by Wim Versées

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wim Versées. 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 Wim Versées. The network helps show where Wim Versées may publish in the future.

Co-authorship network of co-authors of Wim Versées

This figure shows the co-authorship network connecting the top 25 collaborators of Wim Versées. A scholar is included among the top collaborators of Wim Versées 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 Wim Versées. Wim Versées 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.
Hendrickx, Rik, Meng Yuan, Pieter Van Wielendaele, et al.. (2025). Allosteric inhibition of trypanosomatid pyruvate kinases by a camelid single-domain antibody. eLife. 13.
2.
Maso, Thomas Dal, Chiara Sinisgalli, Isabella Tessari, et al.. (2025). Developing nanobodies as allosteric molecular chaperones of glucocerebrosidase function. Nature Communications. 16(1). 4890–4890.
3.
Versées, Wim, et al.. (2024). Single time-point analysis of product and substrate inhibition. Scientific Reports. 14(1). 23160–23160.
4.
Fischer, Baptiste, Tomasz Uchański, Alexander N. Volkov, et al.. (2024). Allosteric nanobodies to study the interactions between SOS1 and RAS. Nature Communications. 15(1). 6214–6214. 2 indexed citations
5.
Karasmanis, Eva, Kathryn S. Hatch, Deep Chatterjee, et al.. (2024). A designed ankyrin-repeat protein that targets Parkinson’s disease-associated LRRK2. Journal of Biological Chemistry. 300(7). 107469–107469. 1 indexed citations
7.
Dewachter, Liselot, et al.. (2024). The role of the essential GTPase ObgE in regulating lipopolysaccharide synthesis in Escherichia coli. Nature Communications. 15(1). 9684–9684. 1 indexed citations
8.
Fischer, Baptiste, Wim Versées, José C. Martins, et al.. (2023). Nanobody Loop Mimetics Enhance Son of Sevenless 1‐Catalyzed Nucleotide Exchange on RAS**. Angewandte Chemie International Edition. 62(24). e202219095–e202219095. 5 indexed citations
9.
Dewachter, Liselot, Aaron N. Brooks, Nandini Krishnamurthy, et al.. (2023). Deep mutational scanning of essential bacterial proteins can guide antibiotic development. Nature Communications. 14(1). 241–241. 24 indexed citations
10.
Martin, Charlotte, Tamás Lázár, Liselot Dewachter, et al.. (2023). YbiB: a novel interactor of the GTPase ObgE. Nucleic Acids Research. 51(7). 3420–3435. 2 indexed citations
11.
Fischer, Baptiste, Wim Versées, José C. Martins, et al.. (2023). Nanobody Loop Mimetics Enhance Son of Sevenless 1‐Catalyzed Nucleotide Exchange on RAS**. Angewandte Chemie. 135(24). 1 indexed citations
12.
Singh, Ranjan K., Giambattista Guaitoli, Felix von Zweydorf, et al.. (2022). Nanobodies as allosteric modulators of Parkinson’s disease–associated LRRK2. Proceedings of the National Academy of Sciences. 119(9). 31 indexed citations
13.
Giron, Philippe, et al.. (2021). Structure–Activity Relationship (SAR) Study of Spautin-1 to Entail the Discovery of Novel NEK4 Inhibitors. International Journal of Molecular Sciences. 22(2). 635–635. 7 indexed citations
14.
Zweydorf, Felix von, Bernd K. Gilsbach, Panagiotis S. Athanasopoulos, et al.. (2021). Allosteric Inhibition of Parkinson’s-Linked LRRK2 by Constrained Peptides. ACS Chemical Biology. 16(11). 2326–2338. 20 indexed citations
15.
Volkov, Alexander N., Ranjan K. Singh, Frank Sobott, et al.. (2021). Entropic pressure controls the oligomerization of the Vibrio cholerae ParD2 antitoxin. Acta Crystallographica Section D Structural Biology. 77(7). 904–920. 6 indexed citations
17.
Leemans, Margaux, Egon Deyaert, Elise Daems, et al.. (2020). Allosteric modulation of the GTPase activity of a bacterial LRRK2 homolog by conformation-specific Nanobodies. Biochemical Journal. 477(7). 1203–1218. 11 indexed citations
18.
Fischer, Baptiste, Beatriz M. Bonini, Héctor Quezada, et al.. (2017). Fructose-1,6-bisphosphate couples glycolytic flux to activation of Ras. Nature Communications. 8(1). 922–922. 144 indexed citations
19.
Roovers, Martine, Lina Wauters, Joanna M. Kasprzak, et al.. (2015). Structural and functional insights into tRNA binding and adenosine N1-methylation by an archaeal Trm10 homologue. Nucleic Acids Research. 44(2). 940–953. 28 indexed citations
20.
Roovers, Martine, et al.. (2012). Crystal structures of the tRNA:m 2 G6 methyltransferase Trm14/TrmN from two domains of life. Nucleic Acids Research. 40(11). 5149–5161. 40 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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