Wouter G. Touw

22 total papers · 1.7k total citations
14 papers, 1.2k citations indexed

About

Wouter G. Touw is a scholar working on Molecular Biology, Materials Chemistry and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Wouter G. Touw has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Materials Chemistry and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Wouter G. Touw's work include Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (7 papers) and Glycosylation and Glycoproteins Research (3 papers). Wouter G. Touw is often cited by papers focused on Enzyme Structure and Function (7 papers), Protein Structure and Dynamics (7 papers) and Glycosylation and Glycoproteins Research (3 papers). Wouter G. Touw collaborates with scholars based in Netherlands, United States and United Kingdom. Wouter G. Touw's co-authors include Gert Vriend, Robbie P. Joosten, Jon E. Black, Elmar Krieger, Coos Baakman, Michiel Wels, Lisa I. Backus, Lex Overmars, Jumamurat R. Bayjanov and Sacha A. F. T. van Hijum and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

Wouter G. Touw

14 papers receiving 1.2k citations

Hit Papers

A series of PDB-related d... 2014 2026 2018 2022 2014 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Wouter G. Touw 846 266 95 72 71 14 1.2k
Benoît H. Dessailly 1.0k 1.2× 234 0.9× 121 1.3× 91 1.3× 53 0.7× 18 1.2k
Robert Fraczkiewicz 826 1.0× 283 1.1× 159 1.7× 85 1.2× 141 2.0× 16 1.3k
Coos Baakman 793 0.9× 181 0.7× 93 1.0× 121 1.7× 56 0.8× 10 1.0k
Bosco Ho 969 1.1× 285 1.1× 101 1.1× 57 0.8× 139 2.0× 25 1.4k
Sean L. Seyler 786 0.9× 215 0.8× 87 0.9× 50 0.7× 94 1.3× 14 1.2k
Richard L. Thurlkill 823 1.0× 325 1.2× 98 1.0× 52 0.7× 132 1.9× 10 1.1k
Max Linke 890 1.1× 236 0.9× 84 0.9× 53 0.7× 111 1.6× 16 1.4k
P.J. Finerty 1.1k 1.3× 145 0.5× 87 0.9× 86 1.2× 71 1.0× 16 1.5k
Łukasz Wieteska 823 1.0× 319 1.2× 107 1.1× 64 0.9× 61 0.9× 31 1.3k
Velin Z. Spassov 1.0k 1.2× 275 1.0× 118 1.2× 95 1.3× 118 1.7× 19 1.3k

Countries citing papers authored by Wouter G. Touw

Since Specialization
Citations

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

Fields of papers citing papers by Wouter G. Touw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wouter G. Touw

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

All Works

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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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