Francesca D׳Auria

42 total papers · 544 total citations
19 papers, 380 citations indexed

About

Francesca D׳Auria is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Francesca D׳Auria has authored 19 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Surgery, 6 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Francesca D׳Auria's work include Infective Endocarditis Diagnosis and Management (5 papers), Cardiac Valve Diseases and Treatments (4 papers) and Biomarkers in Disease Mechanisms (3 papers). Francesca D׳Auria is often cited by papers focused on Infective Endocarditis Diagnosis and Management (5 papers), Cardiac Valve Diseases and Treatments (4 papers) and Biomarkers in Disease Mechanisms (3 papers). Francesca D׳Auria collaborates with scholars based in Italy, United Kingdom and Netherlands. Francesca D׳Auria's co-authors include Angelo A. Manfredi, Patrizia Rovere‐Querini, Giuseppe Peri, Enrica Bozzolo, Alberto Mantovani, Gianfranco Ciboddo, Maria Grazia Sabbadini, Luisa Praderio, Giacomo DellʼAntonio and Fausto Fazzini and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Annals of Thoracic Surgery and Journal of Cellular Biochemistry.

In The Last Decade

Francesca D׳Auria

19 papers receiving 374 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 D׳Auria 259 78 57 37 32 19 380
Jinchao Jia 230 0.9× 167 2.1× 74 1.3× 23 0.6× 37 1.2× 24 374
Huw B. Thomas 170 0.7× 146 1.9× 65 1.1× 24 0.6× 21 0.7× 20 375
Ella van den Berg‐Loonen 237 0.9× 44 0.6× 33 0.6× 40 1.1× 52 1.6× 15 395
Elise Belilos 254 1.0× 65 0.8× 75 1.3× 29 0.8× 21 0.7× 15 391
Min Yang 257 1.0× 81 1.0× 59 1.0× 14 0.4× 63 2.0× 17 431
T. A. Gentle 144 0.6× 29 0.4× 62 1.1× 38 1.0× 36 1.1× 13 338
Masanari Hasegawa 235 0.9× 107 1.4× 36 0.6× 66 1.8× 29 0.9× 16 446
Siri T. Flåm 150 0.6× 100 1.3× 80 1.4× 16 0.4× 27 0.8× 25 433
Hiroaki Ida 101 0.4× 98 1.3× 47 0.8× 96 2.6× 37 1.2× 18 348
Vincenzo Carbonelli 168 0.6× 36 0.5× 138 2.4× 24 0.6× 36 1.1× 17 356

Countries citing papers authored by Francesca D׳Auria

Since Specialization
Citations

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

Fields of papers citing papers by Francesca D׳Auria

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca D׳Auria

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca D׳Auria. A scholar is included among the top collaborators of Francesca D׳Auria 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 D׳Auria. Francesca D׳Auria is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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