Etrusca D’Urbano

714 citations
9 papers · 612 indexed · h-index 9
Topics
Receptor Mechanisms and Signaling (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)Eicosanoids and Hypertension Pharmacology (3 papers)
Partner nations
ItalySpainJapan

In The Last Decade

Etrusca D’Urbano

9 papers receiving 593 citations

Peers

Etrusca D’Urbano
Comparison fields: 5 of 72
  • Molecular Biology 394
  • Cellular and Molecular Neuroscience 227
  • Pharmacology 76
  • Nutrition and Dietetics 72
  • Biochemistry 72
Replace U Janssen-Timmen with:
U Janssen-Timmen Germany
Daniel Vial France
W. Pignat Switzerland
C. Southern United Kingdom
Véronique Juvin United Kingdom
Maria Rosa Accomazzo Italy
A. Wollin Canada
Toyohiko Tohmatsu Japan
Wan‐Chen Huang Taiwan
Sutapa Kole United States
Etrusca D’Urbano relative to U Janssen-Timmen Germany U Janssen-Timmen's profile →
Citations per field
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U Janssen-Timmen · 1×
Citations per year

Countries citing papers authored by Etrusca D’Urbano

Since Specialization
Citations

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

Fields of papers citing papers by Etrusca D’Urbano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Etrusca D’Urbano. 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 Etrusca D’Urbano. The network helps show where Etrusca D’Urbano may publish in the future.

Co-authorship network of co-authors of Etrusca D’Urbano

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 21
2 57
3 41
4 27
5 104
6 11
7 114
8 117
9
Selective regulation of Gq signaling by G protein-coupled receptor kinase 2: direct interaction of kinase N terminus with activated galphaq.
120

About Etrusca D’Urbano

Etrusca D’Urbano is a scholar working on Biochemistry, Immunology and Allergy and Nutrition and Dietetics, having authored 9 papers that have together received 612 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Eicosanoids and Hypertension Pharmacology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (227 citations), Biochemistry (72 citations) and Molecular Biology (394 citations). Etrusca D’Urbano has collaborated with scholars based in Italy, Spain and Japan. Frequent co-authors include Antonio De Blasi, Michele Sallese, Luisa Iacovelli, Stefania Mariggiò, Mario Romano, Giovanni Davı̀, Sebastiano Gangemi, Marianna Storto, Gianluca Sala and Thomas Launey. Their work appears in journals such as Journal of the American College of Cardiology, The FASEB Journal and Journal of Applied Physiology.

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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