Gianluigi Marasi

24 total papers · 571 total citations
17 papers, 456 citations indexed

About

Gianluigi Marasi is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Gianluigi Marasi has authored 17 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 7 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Gianluigi Marasi's work include Blood Pressure and Hypertension Studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Blood properties and coagulation (4 papers). Gianluigi Marasi is often cited by papers focused on Blood Pressure and Hypertension Studies (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Blood properties and coagulation (4 papers). Gianluigi Marasi collaborates with scholars based in Italy and United States. Gianluigi Marasi's co-authors include Annalisa Zoppi, Roberto Fogari, Alessandro Vanasia, Amedeo Mugellini, Paola Preti, Andrea Rinaldi, Giuseppe Derosa, R. Fogari, C Pasotti and L. Poletti and has published in prestigious journals such as Journal of Hypertension, British Journal of Clinical Pharmacology and American Journal of Hypertension.

In The Last Decade

Gianluigi Marasi

17 papers receiving 426 citations

Author Peers

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

Author						Papers	Cites
Gianluigi Marasi	209	147	90	76	58	17	456
Giuseppe Genovesi	49 0.2×	38 0.3×	104 1.2×	13 0.2×	20 0.3×	15	434
Gabriella Tringali	74 0.4×	40 0.3×	33 0.4×	16 0.2×	45 0.8×	45	515
Bruno Knöpfli	91 0.4×	61 0.4×	18 0.2×	26 0.3×	103 1.8×	19	551
Yair Luz	191 0.9×	39 0.3×	25 0.3×	8 0.1×	17 0.3×	9	421
Lucile L. Adams	124 0.6×	42 0.3×	81 0.9×	6 0.1×	25 0.4×	12	500
A. Ranchelli	34 0.2×	171 1.2×	16 0.2×	58 0.8×	17 0.3×	9	503
Gilbert Fortunato	60 0.3×	56 0.4×	38 0.4×	11 0.1×	118 2.0×	14	474
Özge Dokuzlar	73 0.3×	32 0.2×	121 1.3×	11 0.1×	19 0.3×	30	529
Hirofumi Takagi	29 0.1×	199 1.4×	34 0.4×	13 0.2×	24 0.4×	21	435
Laura Vernuccio	51 0.2×	22 0.1×	103 1.1×	11 0.1×	34 0.6×	20	449

Countries citing papers authored by Gianluigi Marasi

Since Specialization

Citations

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

Fields of papers citing papers by Gianluigi Marasi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluigi Marasi

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