Yves Dehouck

2.7k total citations
34 papers, 1.9k citations indexed

About

Yves Dehouck is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Yves Dehouck has authored 34 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 15 papers in Materials Chemistry and 5 papers in Spectroscopy. Recurrent topics in Yves Dehouck's work include Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (15 papers) and RNA and protein synthesis mechanisms (13 papers). Yves Dehouck is often cited by papers focused on Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (15 papers) and RNA and protein synthesis mechanisms (13 papers). Yves Dehouck collaborates with scholars based in Belgium, Spain and Australia. Yves Dehouck's co-authors include Marianne Rooman, Dimitri Gilis, Jean Marc Kwasigroch, Benjamin Folch, A. Grosfils, Philippe Bogaerts, Ugo Bastolla, Stephen Bottomley, Amy L. Robertson and Lisa D. Cabrita and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Yves Dehouck

34 papers receiving 1.9k citations

Peers

Yves Dehouck

GENET

CTM

Dimitri Gilis Belgium

Maarten L. Hekkelman Netherlands

Françoise Rousseau-Hans Belgium

Thomas Womack Netherlands

Ray Yu‐Ruei Wang United States

Sergey Lyskov United States

Anurag Sethi United States

Hetunandan Kamisetty United States

Grzegorz M. Popowicz Germany

Deborah S. Wuttke United States

Dimitri Gilis Belgium

Yves Dehouck

2.1k ×1.3

565 ×1.3

310 ×1.2

GENET

160 ×1.1

184 ×1.4

CTM

Citations per year, relative to Yves Dehouck Yves Dehouck (= 1×) peers Dimitri Gilis

Countries citing papers authored by Yves Dehouck

Since Specialization

Citations

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

Fields of papers citing papers by Yves Dehouck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Dehouck

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

All Works

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20 of 20 papers shown

Dehouck, Yves, et al.. (2023). Predicting protein stability changes upon mutation using a simple orientational potential. Bioinformatics. 39(1). 15 indexed citations

López‐Blanco, José Ramón, Yves Dehouck, Ugo Bastolla, & Pablo Chacón. (2022). Local Normal Mode Analysis for Fast Loop Conformational Sampling. Journal of Chemical Information and Modeling. 62(18). 4561–4568. 2 indexed citations

Dehouck, Yves & Ugo Bastolla. (2021). Why are large conformational changes well described by harmonic normal modes?. Biophysical Journal. 120(23). 5343–5354. 7 indexed citations

Bastolla, Ugo & Yves Dehouck. (2019). Can Conformational Changes of Proteins Be Represented in Torsion Angle Space? A Study with Rescaled Ridge Regression. Journal of Chemical Information and Modeling. 59(11). 4929–4941. 9 indexed citations

Dehouck, Yves & Ugo Bastolla. (2017). The maximum penalty criterion for ridge regression: application to the calibration of the force constant in elastic network models. Integrative Biology. 9(7). 627–641. 15 indexed citations

Bastolla, Ugo, Yves Dehouck, & Julián Echave. (2016). What evolution tells us about protein physics, and protein physics tells us about evolution. Current Opinion in Structural Biology. 42. 59–66. 36 indexed citations

Pucci, Fabrizio, et al.. (2014). Protein Thermostability Prediction within Homologous Families Using Temperature-Dependent Statistical Potentials. PLoS ONE. 9(3). e91659–e91659. 43 indexed citations

Dehouck, Yves & Alexander S. Mikhailov. (2013). Effective Harmonic Potentials: Insights into the Internal Cooperativity and Sequence-Specificity of Protein Dynamics. PLoS Computational Biology. 9(8). e1003209–e1003209. 24 indexed citations

Dehouck, Yves, Jean Marc Kwasigroch, Marianne Rooman, & Dimitri Gilis. (2013). BeAtMuSiC: prediction of changes in protein–protein binding affinity on mutations. Nucleic Acids Research. 41(W1). W333–W339. 254 indexed citations

10.

Rooman, Marianne, et al.. (2012). Structure-based mutant stability predictions on proteins of unknown structure. Journal of Biotechnology. 161(3). 287–293. 38 indexed citations

11.

Rooman, Marianne, et al.. (2011). Detection of Perturbation Phases and Developmental Stages in Organisms from DNA Microarray Time Series Data. PLoS ONE. 6(12). e27948–e27948. 4 indexed citations

12.

Dehouck, Yves, Jean Marc Kwasigroch, Dimitri Gilis, & Marianne Rooman. (2011). PoPMuSiC 2.1: a web server for the estimation of protein stability changes upon mutation and sequence optimality. BMC Bioinformatics. 12(1). 151–151. 412 indexed citations

13.

Folch, Benjamin, Yves Dehouck, & Marianne Rooman. (2010). Thermo- and Mesostabilizing Protein Interactions Identified by Temperature-Dependent Statistical Potentials. Biophysical Journal. 98(4). 667–677. 41 indexed citations

14.

Chugunov, Anton O., John Simms, David R. Poyner, et al.. (2010). Evidence that Interaction between Conserved Residues in Transmembrane Helices 2, 3, and 7 Are Crucial for Human VPAC1 Receptor Activation. Molecular Pharmacology. 78(3). 394–401. 27 indexed citations

15.

Dehouck, Yves, Benjamin Folch, & Marianne Rooman. (2008). Revisiting the correlation between proteins' thermoresistance and organisms' thermophilicity. Protein Engineering Design and Selection. 21(4). 275–278. 25 indexed citations

16.

Cabrita, Lisa D., Dimitri Gilis, Amy L. Robertson, et al.. (2007). Enhancing the stability and solubility of TEV protease using in silico design. Protein Science. 16(11). 2360–2367. 127 indexed citations

17.

Dehouck, Yves, Dimitri Gilis, & Marianne Rooman. (2006). A New Generation of Statistical Potentials for Proteins. Biophysical Journal. 90(11). 4010–4017. 94 indexed citations

18.

Dehouck, Yves, Dimitri Gilis, & Marianne Rooman. (2004). Database-Derived Potentials Dependent on Protein Size for In Silico Folding and Design. Biophysical Journal. 87(1). 171–181. 15 indexed citations

19.

Rooman, Marianne, Yves Dehouck, Jean Marc Kwasigroch, Christophe Biot, & Dimitri Gilis. (2002). What is Paradoxical about Levinthal Paradox?. Journal of Biomolecular Structure and Dynamics. 20(3). 327–329. 13 indexed citations

20.

Locci, Emanuela, Yves Dehouck, Mariano Casu, et al.. (2001). Probing Proteins in Solution by 129Xe NMR Spectroscopy. Journal of Magnetic Resonance. 150(2). 167–174. 49 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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