L. Previato

60 total papers · 904 total citations
21 papers, 727 citations indexed

About

L. Previato is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, L. Previato has authored 21 papers receiving a total of 727 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Endocrinology, Diabetes and Metabolism and 7 papers in Surgery. Recurrent topics in L. Previato's work include Lipid metabolism and disorders (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Lipoproteins and Cardiovascular Health (6 papers). L. Previato is often cited by papers focused on Lipid metabolism and disorders (8 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Lipoproteins and Cardiovascular Health (6 papers). L. Previato collaborates with scholars based in Italy and United States. L. Previato's co-authors include Silvia Santamarina-Fojo, H. Bryan Brewer, Carlo Gabelli, Obaid Ullah Beg, H Bryan Brewer, John D. Brunzell, Angelo Avogaro, Nicola Vitturi, Klaus A. Dugi and Giovannella Baggio and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The FASEB Journal.

In The Last Decade

L. Previato

21 papers receiving 713 citations

Author Peers

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

Author Last Decade Papers Cites
L. Previato 286 229 190 185 104 21 727
Despina Tsorotes 249 0.9× 222 1.0× 332 1.7× 110 0.6× 74 0.7× 12 888
Anisa Jahangiri 121 0.4× 189 0.8× 155 0.8× 260 1.4× 63 0.6× 19 671
Keita Hiragushi 182 0.6× 118 0.5× 233 1.2× 78 0.4× 103 1.0× 11 689
Isabel Beucler 163 0.6× 284 1.2× 278 1.5× 260 1.4× 44 0.4× 39 869
Ahmed Aburima 246 0.9× 137 0.6× 262 1.4× 133 0.7× 173 1.7× 31 893
J.P.H. van Wijk 145 0.5× 331 1.4× 213 1.1× 145 0.8× 32 0.3× 24 750
J Ringel 272 1.0× 279 1.2× 315 1.7× 88 0.5× 71 0.7× 27 823
Vajir Malek 230 0.8× 146 0.6× 273 1.4× 84 0.5× 40 0.4× 28 757
Jocelyne Bidault 109 0.4× 110 0.5× 198 1.0× 82 0.4× 182 1.8× 28 884
Anders Bröijersén 289 1.0× 123 0.5× 121 0.6× 212 1.1× 86 0.8× 27 717

Countries citing papers authored by L. Previato

Since Specialization
Citations

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

Fields of papers citing papers by L. Previato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L. Previato

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