Francesca Marino

91 total papers · 1.2k total citations
48 papers, 818 citations indexed

About

Francesca Marino is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Francesca Marino has authored 48 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Cardiology and Cardiovascular Medicine and 8 papers in Hematology. Recurrent topics in Francesca Marino's work include Rheumatoid Arthritis Research and Therapies (7 papers), Spondyloarthritis Studies and Treatments (5 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Francesca Marino is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (7 papers), Spondyloarthritis Studies and Treatments (5 papers) and Protein Hydrolysis and Bioactive Peptides (5 papers). Francesca Marino collaborates with scholars based in Italy, United States and France. Francesca Marino's co-authors include Mauro Zamboni, Filippo Valbusa, Francesco Fantin, Alessandro Vindigni, Giampiero Girolomoni, Paolo Gisondi, O. Gileadi, Micol Del Giglio, Enrico Di and Paolo Salvi and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Francesca Marino

44 papers receiving 803 citations

Author Peers

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

Author Last Decade Papers Cites
Francesca Marino 269 145 130 119 87 48 818
Hongyuan Zhang 50 0.2× 362 2.5× 106 0.8× 38 0.3× 78 0.9× 48 949
Xin Zhang 132 0.5× 190 1.3× 116 0.9× 46 0.4× 46 0.5× 85 897
Kyung Hee Yi 93 0.3× 206 1.4× 291 2.2× 22 0.2× 78 0.9× 28 1.0k
T Y Tai 53 0.2× 242 1.7× 53 0.4× 43 0.4× 120 1.4× 26 946
F. Bonde Petersen 81 0.3× 112 0.8× 121 0.9× 315 2.6× 90 1.0× 46 982
Terukuni Ideura 296 1.1× 194 1.3× 77 0.6× 99 0.8× 99 1.1× 62 1.0k
Joshua E. Raizman 276 1.0× 320 2.2× 55 0.4× 60 0.5× 227 2.6× 36 1.0k
Yoshiro Kato 70 0.3× 208 1.4× 77 0.6× 159 1.3× 165 1.9× 80 914
Lijuan Zhao 132 0.5× 146 1.0× 134 1.0× 41 0.3× 44 0.5× 59 952
Sophie Béliard 211 0.8× 118 0.8× 95 0.7× 22 0.2× 114 1.3× 53 776

Countries citing papers authored by Francesca Marino

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Marino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Marino

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