Wouter Steyaert

1.8k citations
27 papers · 651 · h-index 14

Impact in

  • Aging top 10%
  • Genetics top 10%
    • Connective tissue disorders research
    • Genomics and Rare Diseases
    • Dermatological and Skeletal Disorders

Papers in

    • CRISPR and Genetic Engineering 5
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • Receptor Mechanisms and Signaling 2
    • Connective tissue disorders research 7
    • Genomics and Rare Diseases 5
    • Dermatological and Skeletal Disorders 3
    • Evolution and Genetic Dynamics 2

Wouter Steyaert

27 papers receiving 645 citations

Peers

Wouter Steyaert
Comparison fields: 5 of 63
  • Aging 22
  • Genetics 308
  • Molecular Biology 361
  • Rheumatology 67
  • Business and International Management 7
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Citations per field
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Citations per year

Countries citing papers authored by Wouter Steyaert

Since Specialization
Citations

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

Fields of papers citing papers by Wouter Steyaert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wouter Steyaert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wouter Steyaert Line = papers co-authored together Wouter Steyaert links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201399
2 201671
3 201870
4 201648
5 201443
6 201443
7 201538
8 201533
9 201628
10 201528
11 201423
12 201520
13 201917
14 201817
15 202212
16 201711
17 20158
18 20228
19 20188
20 20226

About Wouter Steyaert

Wouter Steyaert is a scholar working on Molecular Biology, Genetics, Surgery, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 27 papers that have together received 651 indexed citations. Recurring topics across this work include Connective tissue disorders research (7 papers), Genomics and Rare Diseases (5 papers), CRISPR and Genetic Engineering (5 papers), Dermatological and Skeletal Disorders (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Evolution and Genetic Dynamics (2 papers) and Receptor Mechanisms and Signaling (2 papers). The work is most often cited by research in Aging (22 citations), Genetics (308 citations), Molecular Biology (361 citations), Rheumatology (67 citations) and Business and International Management (7 citations). Wouter Steyaert has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Paul Coucke, Anne De Paepe, Bert Callewaert, Andy Willaert, Annekatrien Boel, Fransiska Malfait, Sofie Symoens, Sanne D’hondt, Björn Menten and Hans Peter Bächinger. Their work appears in journals such as Scientific Reports, Disease Markers, Clinica Chimica Acta, The FASEB Journal and Journal of genetics and genomics.

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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