Francesca Abbate

861 citations
31 papers · 559 · h-index 13

Impact in

Papers in

Francesca Abbate

29 papers receiving 546 citations

Peers

Francesca Abbate
Comparison fields: 5 of 56
  • Health Informatics 21
  • Radiology, Nuclear Medicine and Imaging 330
  • Pathology and Forensic Medicine 116
  • Cancer Research 91
  • Biophysics 27
Replace Lonie R. Salkowski with:
Lonie R. Salkowski United States
Christiane Marx Germany
Simona Menna Italy
Mark Landis Canada
Avice M. O’Connell United States
Su Min Ha South Korea
Ray C. Mayo United States
Isaac Daimiel Naranjo United States
Yini Huang China
Michele Telegrafo Italy
Francesca Abbate relative to Lonie R. Salkowski United States Lonie R. Salkowski's profile →
Citations per field
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Lonie R. Salkowski · 1×
Citations per year

Countries citing papers authored by Francesca Abbate

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Abbate

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Francesca Abbate, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Abbate Line = papers co-authored together Francesca Abbate links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200680
2 201067
3 201756
4 202343
5 201442
6 201541
7 202337
8 200631
9 201329
10 201723
11 202320
12 200913
13 202312
14 201211
15 20219
16 20218
17 20248
18 20206
19 20154
20 20223

About Francesca Abbate

Francesca Abbate is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Biomedical Engineering, Pathology and Forensic Medicine and Oncology, having authored 31 papers that have together received 559 indexed citations. Recurring topics across this work include Optical Imaging and Spectroscopy Techniques (16 papers), Infrared Thermography in Medicine (14 papers), Digital Radiography and Breast Imaging (12 papers), Photoacoustic and Ultrasonic Imaging (5 papers), Breast Cancer Treatment Studies (5 papers), Breast Lesions and Carcinomas (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Global Cancer Incidence and Screening (3 papers). The work is most often cited by research in Health Informatics (21 citations), Radiology, Nuclear Medicine and Imaging (330 citations), Pathology and Forensic Medicine (116 citations), Cancer Research (91 citations) and Biophysics (27 citations). Francesca Abbate has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Enrico Cassano, Rinaldo Cubeddu, Antonio Pifferi, Paola Taroni, Giovanna Quarto, Simona Menna, Massimo Bellomi, Giuseppe Renne, Maria Pizzamiglio and Patrick Maisonneuve. Their work appears in journals such as The Breast, British Journal of Radiology, Biomedical Optics Express, Journal of Biomedical Optics and Journal of Clinical Medicine.

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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