Peter Vanhee

900 total citations
10 papers, 710 citations indexed

About

Peter Vanhee is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter Vanhee has authored 10 papers receiving a total of 710 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Materials Chemistry and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter Vanhee's work include Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (3 papers) and Enzyme Structure and Function (3 papers). Peter Vanhee is often cited by papers focused on Protein Structure and Dynamics (6 papers), Bioinformatics and Genomic Networks (3 papers) and Enzyme Structure and Function (3 papers). Peter Vanhee collaborates with scholars based in Spain, Belgium and Czechia. Peter Vanhee's co-authors include Joost Schymkowitz, Luís Serrano, Frédéric Rousseau, Erik Verschueren, Joke Reumers, François Stricher, Greet De Baets, Joost Van Durme, Joaquı́n Dopazo and Françoise Rousseau-Hans and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Trends in biotechnology.

In The Last Decade

Peter Vanhee

10 papers receiving 702 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Vanhee Spain 8 616 104 102 91 87 10 710
Qifang Xu United States 15 434 0.7× 45 0.4× 85 0.8× 140 1.5× 32 0.4× 21 538
M. Welin Sweden 13 363 0.6× 40 0.4× 47 0.5× 65 0.7× 41 0.5× 30 551
Nicholas J. Burgoyne United Kingdom 9 422 0.7× 166 1.6× 60 0.6× 60 0.7× 28 0.3× 9 591
Satra Nim Canada 12 538 0.9× 108 1.0× 92 0.9× 34 0.4× 16 0.2× 18 711
Jeffrey S. Taylor United States 5 456 0.7× 80 0.8× 24 0.2× 57 0.6× 69 0.8× 7 520
Françoise Ochsenbein France 16 720 1.2× 35 0.3× 28 0.3× 41 0.5× 54 0.6× 32 776
Aaron D. Schuler United States 11 552 0.9× 37 0.4× 45 0.4× 113 1.2× 78 0.9× 17 975
Fuzhong F. Zheng United States 7 885 1.4× 125 1.2× 71 0.7× 93 1.0× 126 1.4× 7 1.1k
Janelle L. Harris Australia 9 720 1.2× 69 0.7× 69 0.7× 17 0.2× 37 0.4× 12 919
Michael F. Bailey Australia 16 534 0.9× 19 0.2× 31 0.3× 114 1.3× 54 0.6× 23 679

Countries citing papers authored by Peter Vanhee

Since Specialization
Citations

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

Fields of papers citing papers by Peter Vanhee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Vanhee

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

All Works

10 of 10 papers shown
1.
Verschueren, Erik, Peter Vanhee, Frédéric Rousseau, Joost Schymkowitz, & Luís Serrano. (2013). Protein-Peptide Complex Prediction through Fragment Interaction Patterns. Structure. 21(5). 789–797. 57 indexed citations
2.
Yang, Jae‐Seong, et al.. (2012). SAPIN: A framework for the structural analysis of protein interaction networks. Bioinformatics. 28(22). 2998–2999. 5 indexed citations
3.
Vanhee, Peter, Almer M. van der Sloot, Erik Verschueren, et al.. (2011). Computational design of peptide ligands. Trends in biotechnology. 29(5). 231–239. 132 indexed citations
4.
Verschueren, Erik, Peter Vanhee, Almer M. van der Sloot, et al.. (2011). Protein design with fragment databases. Current Opinion in Structural Biology. 21(4). 452–459. 26 indexed citations
5.
Baets, Greet De, Joost Van Durme, Joke Reumers, et al.. (2011). SNPeffect 4.0: on-line prediction of molecular and structural effects of protein-coding variants. Nucleic Acids Research. 40(D1). D935–D939. 214 indexed citations
6.
Gfeller, David, Erik Verschueren, Peter Vanhee, et al.. (2011). The multiple‐specificity landscape of modular peptide recognition domains. Molecular Systems Biology. 7(1). 484–484. 68 indexed citations
7.
Vanhee, Peter, Erik Verschueren, François Stricher, et al.. (2010). BriX: a database of protein building blocks for structural analysis, modeling and design. Nucleic Acids Research. 39(suppl_1). D435–D442. 42 indexed citations
8.
Vanhee, Peter, François Stricher, Erik Verschueren, et al.. (2010). Modeling protein-peptide interactions using protein fragments: fitting the pieces?. BMC Bioinformatics. 11(S10). 2 indexed citations
9.
Vanhee, Peter, Joke Reumers, François Stricher, et al.. (2009). PepX: a structural database of non-redundant protein–peptide complexes. Nucleic Acids Research. 38(suppl_1). D545–D551. 89 indexed citations
10.
Vanhee, Peter, François Stricher, Erik Verschueren, et al.. (2009). Protein-Peptide Interactions Adopt the Same Structural Motifs as Monomeric Protein Folds. Structure. 17(8). 1128–1136. 75 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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