Lucia Salvemini

34 total papers · 1.1k total citations
25 papers, 843 citations indexed

About

Lucia Salvemini is a scholar working on Epidemiology, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Lucia Salvemini has authored 25 papers receiving a total of 843 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Epidemiology, 9 papers in Physiology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Lucia Salvemini's work include Adipokines, Inflammation, and Metabolic Diseases (20 papers), Adipose Tissue and Metabolism (7 papers) and Regulation of Appetite and Obesity (4 papers). Lucia Salvemini is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (20 papers), Adipose Tissue and Metabolism (7 papers) and Regulation of Appetite and Obesity (4 papers). Lucia Salvemini collaborates with scholars based in Italy, United States and Singapore. Lucia Salvemini's co-authors include Claudia Menzaghi, Vincenzo Trischitta, Alessandro Doria, Salvatore De Cosmo, Massimiliano Copetti, G. Fini, Andrea Fontana, Simonetta Bacci, Ryan Thompson and Tonino Ercolino and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Diabetes Care.

In The Last Decade

Lucia Salvemini

25 papers receiving 825 citations

Author Peers

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

Author Last Decade Papers Cites
Lucia Salvemini 593 336 213 161 152 25 843
Hiroyuki Ebinuma 699 1.2× 487 1.4× 227 1.1× 133 0.8× 173 1.1× 21 1.0k
Mikako Degawa‐Yamauchi 737 1.2× 506 1.5× 177 0.8× 111 0.7× 288 1.9× 13 1.0k
Merja Santaniemi 500 0.8× 313 0.9× 197 0.9× 80 0.5× 159 1.0× 22 909
Masaaki Ochi 683 1.2× 422 1.3× 123 0.6× 87 0.5× 343 2.3× 29 884
Yuxiao Fu 444 0.7× 329 1.0× 466 2.2× 80 0.5× 106 0.7× 19 992
Zuzana Kováčová 495 0.8× 523 1.6× 251 1.2× 74 0.5× 97 0.6× 25 957
Monique Verdier 553 0.9× 323 1.0× 124 0.6× 207 1.3× 68 0.4× 17 1.0k
Victoria Rotter Sopasakis 490 0.8× 434 1.3× 125 0.6× 84 0.5× 139 0.9× 24 1.0k
Abel López‐Bermejo 467 0.8× 234 0.7× 165 0.8× 140 0.9× 76 0.5× 19 940
Neerupma Silswal 367 0.6× 199 0.6× 109 0.5× 154 1.0× 86 0.6× 19 916

Countries citing papers authored by Lucia Salvemini

Since Specialization
Citations

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

Fields of papers citing papers by Lucia Salvemini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucia Salvemini

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