Giuseppe Argiolas

24 total papers · 1.0k total citations
14 papers, 411 citations indexed

About

Giuseppe Argiolas is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Giuseppe Argiolas has authored 14 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Giuseppe Argiolas's work include Hormonal Regulation and Hypertension (9 papers), Renin-Angiotensin System Studies (3 papers) and Blood Pressure and Hypertension Studies (3 papers). Giuseppe Argiolas is often cited by papers focused on Hormonal Regulation and Hypertension (9 papers), Renin-Angiotensin System Studies (3 papers) and Blood Pressure and Hypertension Studies (3 papers). Giuseppe Argiolas collaborates with scholars based in Italy and United States. Giuseppe Argiolas's co-authors include Nicola Glorioso, Chiara Troffa, Fabiana Filigheddu, Giuseppe Bianchi, Daniele Cusi, Elisabetta Messaggio, Paolo Manunta, Chiara Lanzani, Roberta Zaninello and Francesca Frau and has published in prestigious journals such as PLoS ONE, Circulation Research and Kidney International.

In The Last Decade

Giuseppe Argiolas

13 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
Giuseppe Argiolas 159 134 119 67 57 14 411
Björn Wahlstrand 104 0.7× 151 1.1× 122 1.0× 65 1.0× 88 1.5× 13 402
Hind Berrahmoune 71 0.4× 132 1.0× 63 0.5× 51 0.8× 72 1.3× 24 410
BYRON U. MUSA 182 1.1× 70 0.5× 45 0.4× 48 0.7× 76 1.3× 17 446
SunilK Kota 134 0.8× 73 0.5× 47 0.4× 47 0.7× 85 1.5× 12 409
Lawrence O. Olala 253 1.6× 158 1.2× 63 0.5× 40 0.6× 101 1.8× 10 407
Daughaday Wh 165 1.0× 122 0.9× 31 0.3× 42 0.6× 56 1.0× 13 467
Paul L. Barclay 87 0.5× 110 0.8× 144 1.2× 27 0.4× 34 0.6× 18 370
Karl Olof Nilsson 184 1.2× 198 1.5× 53 0.4× 79 1.2× 32 0.6× 16 454
M T Pham-Huu-Trung 305 1.9× 182 1.4× 52 0.4× 49 0.7× 29 0.5× 18 448
Inga Peter 48 0.3× 58 0.4× 67 0.6× 43 0.6× 65 1.1× 17 373

Countries citing papers authored by Giuseppe Argiolas

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe Argiolas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giuseppe Argiolas

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Argiolas. A scholar is included among the top collaborators of Giuseppe Argiolas 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 Giuseppe Argiolas. Giuseppe Argiolas 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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