Danielle Gulino-Debrac

839 citations
16 papers · 679 · h-index 13

Impact in

Papers in

    • Wnt/β-catenin signaling in development and cancer 7
    • Angiogenesis and VEGF in Cancer 4
    • RNA Research and Splicing 4
    • Protein Structure and Dynamics 2
    • Kruppel-like factors research 2
    • Cancer-related gene regulation 2
    • Cellular Mechanics and Interactions 7

Danielle Gulino-Debrac

16 papers receiving 663 citations

Peers

Danielle Gulino-Debrac
Comparison fields: 5 of 82
  • Immunology and Allergy 142
  • Cell Biology 232
  • Neurology 53
  • Immunology 119
  • Molecular Biology 375
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Cora Beckers Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Danielle Gulino-Debrac

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Gulino-Debrac

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Danielle Gulino-Debrac. 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 Danielle Gulino-Debrac. The network helps show where Danielle Gulino-Debrac may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003157
2 2005102
3 201162
4 201362
5 201062
6 200743
7 200232
8 200831
9 200626
10 200522
11 201421
12 201321
13 201318
14 20049
15 20147
16 20224

About Danielle Gulino-Debrac

Danielle Gulino-Debrac is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Genetics and Biomedical Engineering, having authored 16 papers that have together received 679 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (7 papers), Wnt/β-catenin signaling in development and cancer (7 papers), Cellular Mechanics and Interactions (7 papers), Angiogenesis and VEGF in Cancer (4 papers), RNA Research and Splicing (4 papers), Protein Structure and Dynamics (2 papers), Kruppel-like factors research (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Immunology and Allergy (142 citations), Cell Biology (232 citations), Neurology (53 citations), Immunology (119 citations) and Molecular Biology (375 citations). Danielle Gulino-Debrac has collaborated with scholars based in France and United Kingdom. Frequent co-authors include Evelyne Concord, Philippe Huber, Stéphanie Bibert, Thierry Vernet, Marianne Weidenhaupt, Bernard Dublet, Claire Durmort, E.A. Hewat, Isabelle Vilgrain and Sébastien Almagro. Their work appears in journals such as Journal of Biological Chemistry, Journal of Molecular Biology, Molecular and Cellular Biology, American Journal of Physiology-Heart and Circulatory Physiology and Tissue Barriers.

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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