Francesca Patella

39 total papers · 1.6k total citations
24 papers, 634 citations indexed

About

Francesca Patella is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Francesca Patella has authored 24 papers receiving a total of 634 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Francesca Patella's work include Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (5 papers). Francesca Patella is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and MRI in cancer diagnosis (5 papers). Francesca Patella collaborates with scholars based in Italy, United States and United Kingdom. Francesca Patella's co-authors include Filippo Pesapane, Anna Maria Ierardi, Gianpaolo Carrafiello, Salvatore Alessio Angileri, Enrico Maria Fumarola, Giuseppe Franceschelli, Mario Petrillo, Nariman Nezami, Pierpaolo Biondetti and Jean-François Geschwind and has published in prestigious journals such as Medical Image Analysis, Cancers and Medical Oncology.

In The Last Decade

Francesca Patella

23 papers receiving 624 citations

Hit Papers

Federated semi-supervised... 2021 2026 2022 2024 2021 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Francesca Patella 224 176 148 146 131 24 634
Charlie Alexander Hamm 417 1.9× 225 1.3× 151 1.0× 182 1.2× 62 0.5× 24 657
Isabel Schobert 408 1.8× 329 1.9× 97 0.7× 166 1.1× 73 0.6× 18 684
Diego A.S. Toesca 332 1.5× 162 0.9× 223 1.5× 69 0.5× 143 1.1× 41 708
Si‐Min Ruan 348 1.6× 319 1.8× 91 0.6× 67 0.5× 102 0.8× 43 649
Xueyi Zheng 416 1.9× 72 0.4× 108 0.7× 227 1.6× 77 0.6× 15 599
Qing Xu 329 1.5× 117 0.7× 251 1.7× 59 0.4× 180 1.4× 42 709
Xingyu Zhao 508 2.3× 145 0.8× 244 1.6× 142 1.0× 69 0.5× 31 653
Sheela Agarwal 313 1.4× 156 0.9× 76 0.5× 99 0.7× 115 0.9× 25 657
Jean-François Geschwind 206 0.9× 293 1.7× 150 1.0× 36 0.2× 145 1.1× 25 664
Hong Ai 274 1.2× 190 1.1× 73 0.5× 77 0.5× 73 0.6× 17 611

Countries citing papers authored by Francesca Patella

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Patella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Patella

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