Iris Leenaerts

771 citations
7 papers · 667 · h-index 6

Impact in

    • Hippo pathway signaling and YAP/TAZ
    • Cellular transport and secretion
    • Proteoglycans and glycosaminoglycans research
    • Cell Adhesion Molecules Research

Papers in

    • Hippo pathway signaling and YAP/TAZ 5
    • Proteoglycans and glycosaminoglycans research 3
    • Cellular transport and secretion 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Fibroblast Growth Factor Research 1
    • Developmental Biology and Gene Regulation 1

Iris Leenaerts

7 papers receiving 656 citations

Peers

Iris Leenaerts
Comparison fields: 5 of 65
  • Cell Biology 478
  • Immunology and Allergy 68
  • Cellular and Molecular Neuroscience 151
  • Molecular Biology 466
  • Aging 8
Replace Toshiki Itoh with:
Toshiki Itoh Japan
Ikuko Hotta Japan
Kris Meerschaert Belgium
Astrid Kraemer Australia
Masaru Mitsushima Japan
Maria Stumpf Germany
Sara K. Donnelly United States
Patrick D. Allaire Canada
Annie Quan Australia
Ron D. M. Soede Netherlands
Iris Leenaerts relative to Toshiki Itoh Japan Toshiki Itoh's profile →
Citations per field
00.5×1.5×2.5×
Toshiki Itoh · 1×
Citations per year

Countries citing papers authored by Iris Leenaerts

Since Specialization
Citations

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

Fields of papers citing papers by Iris Leenaerts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Iris Leenaerts, 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 Iris Leenaerts Line = papers co-authored together Iris Leenaerts links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2005183
2 2002164
3 2001155
4 200591
5 200936
6 200533
7 20055

About Iris Leenaerts

Iris Leenaerts is a scholar working on Cell Biology, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Infectious Diseases, having authored 7 papers that have together received 667 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Proteoglycans and glycosaminoglycans research (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Cellular transport and secretion (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Connective tissue disorders research (1 paper), Fibroblast Growth Factor Research (1 paper) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Cell Biology (478 citations), Immunology and Allergy (68 citations), Cellular and Molecular Neuroscience (151 citations), Molecular Biology (466 citations) and Aging (8 citations). Iris Leenaerts has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Pascale Zimmermann, Guido David, Gisèle Degeest, Christien Coomans, Gunter Reekmans, Eva Mortier, Pierre J. Courtoy, Francisca N’Kuli, J. Victor Small and Jan Gettemans. Their work appears in journals such as Developmental Cell, Molecular Cell, Molecular Biology of the Cell, PLoS Biology and The EMBO Journal.

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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