Valentina Leo

17 total papers · 759 total citations
15 papers, 481 citations indexed

About

Valentina Leo is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Valentina Leo has authored 15 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Valentina Leo's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Muscle metabolism and nutrition (3 papers) and Cardiovascular Disease and Adiposity (2 papers). Valentina Leo is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Muscle metabolism and nutrition (3 papers) and Cardiovascular Disease and Adiposity (2 papers). Valentina Leo collaborates with scholars based in Italy and United States. Valentina Leo's co-authors include Martina Ferioli, Stefano Nava, Lara Pisani, Paolo Palange, Monica Montagnani, Carmela Nacci, Maria Assunta Potenza, Maria Antonietta De Salvia, Leonarda De Benedictis and Michael J. Quon and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Valentina Leo

15 papers receiving 468 citations

Hit Papers

Protecting healthcare wor... 2020 2026 2022 2024 2020 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Valentina Leo 190 80 80 76 64 15 481
Penglin Ma 122 0.6× 113 1.4× 46 0.6× 55 0.7× 68 1.1× 39 519
Hassan Khouli 99 0.5× 114 1.4× 87 1.1× 40 0.5× 63 1.0× 24 477
José Luís Izquierdo 171 0.9× 58 0.7× 87 1.1× 35 0.5× 154 2.4× 26 471
Mohammed A. Farooqi 224 1.2× 29 0.4× 34 0.4× 170 2.2× 85 1.3× 17 496
Shih-Chieh Chang 59 0.3× 48 0.6× 38 0.5× 42 0.6× 67 1.0× 20 463
Pietro Bisagni 138 0.7× 65 0.8× 101 1.3× 111 1.5× 26 0.4× 14 510
Jiaojiao Chu 150 0.8× 44 0.6× 59 0.7× 64 0.8× 119 1.9× 20 468
Jorge M. Pascual 178 0.9× 28 0.3× 44 0.6× 65 0.9× 28 0.4× 26 528
James Gasperino 64 0.3× 107 1.3× 47 0.6× 67 0.9× 138 2.2× 32 485
Justin Kua 108 0.6× 32 0.4× 37 0.5× 128 1.7× 50 0.8× 21 448

Countries citing papers authored by Valentina Leo

Since Specialization
Citations

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

Fields of papers citing papers by Valentina Leo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentina Leo

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