Francesca Veneziani

36 total papers · 443 total citations
27 papers, 306 citations indexed

About

Francesca Veneziani is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Infectious Diseases. According to data from OpenAlex, Francesca Veneziani has authored 27 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cardiology and Cardiovascular Medicine, 12 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Infectious Diseases. Recurrent topics in Francesca Veneziani's work include Acute Myocardial Infarction Research (13 papers), Cardiac Imaging and Diagnostics (12 papers) and COVID-19 Clinical Research Studies (6 papers). Francesca Veneziani is often cited by papers focused on Acute Myocardial Infarction Research (13 papers), Cardiac Imaging and Diagnostics (12 papers) and COVID-19 Clinical Research Studies (6 papers). Francesca Veneziani collaborates with scholars based in Italy, Poland and Spain. Francesca Veneziani's co-authors include María Infantino, Mariangela Manfredi, Valentina Grossi, Patrizia Casprini, Maurizio Benucci, Barbara Lari, Piero Cappelletti, Giovanni Ciotta, Alessandro Perri and Sergio Fabbri and has published in prestigious journals such as Scientific Reports, PLoS Pathogens and Journal of Medical Virology.

In The Last Decade

Francesca Veneziani

21 papers receiving 283 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 Veneziani 211 59 58 53 44 27 306
Hongjun Li 88 0.4× 113 1.9× 55 0.9× 62 1.2× 25 0.6× 20 274
Yosef Manla 103 0.5× 26 0.4× 99 1.7× 29 0.5× 22 0.5× 34 267
Yasutaka Fukui 193 0.9× 19 0.3× 19 0.3× 22 0.4× 37 0.8× 24 321
Abdulkarim Abdulrahman 262 1.2× 34 0.6× 13 0.2× 20 0.4× 24 0.5× 22 352
Xiaoli Wang 143 0.7× 66 1.1× 12 0.2× 16 0.3× 29 0.7× 24 271
Thierry Hernández‐Gilsoul 145 0.7× 23 0.4× 20 0.3× 11 0.2× 29 0.7× 24 271
Laila Hussaini 232 1.1× 16 0.3× 12 0.2× 35 0.7× 68 1.5× 19 346
Luke Wesemann 98 0.5× 58 1.0× 44 0.8× 7 0.1× 20 0.5× 26 335
Mohak Gupta 66 0.3× 56 0.9× 14 0.2× 14 0.3× 28 0.6× 22 232
Gil Bonet 55 0.3× 51 0.9× 131 2.3× 8 0.2× 51 1.2× 31 259

Countries citing papers authored by Francesca Veneziani

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Veneziani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Veneziani

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