Francesca Piacentini
- Oncology top 10%
- Pulmonary and Respiratory Medicine top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Surgery
- Hepatology top 5%
- Co-authors
- Riccardo IannacconeRoberto PassarielloAndrea LaghiFilippo MangiapaneCarlo CatalanoMasatoshi HoriTakamichi MurakamiItalo Nofroni
- Topics
- Colorectal Cancer Screening and Detection (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Colorectal Cancer Surgical Treatments (4 papers)
In The Last Decade
Francesca Piacentini
21 papers receiving 835 citations
Peers
Comparison fields: 5 of 76
- Oncology 444
- Pulmonary and Respiratory Medicine 240
- Radiology, Nuclear Medicine and Imaging 235
- Surgery 199
- Hepatology 169
Countries citing papers authored by Francesca Piacentini
This map shows the geographic impact of Francesca Piacentini'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 Piacentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Piacentini more than expected).
Fields of papers citing papers by Francesca Piacentini
This network shows the impact of papers produced by Francesca Piacentini. 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 Piacentini. The network helps show where Francesca Piacentini may publish in the future.
Co-authorship network of co-authors of Francesca Piacentini
This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Piacentini. A scholar is included among the top collaborators of Francesca Piacentini 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 Piacentini. Francesca Piacentini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 3 | |
| 3 | 8 | |
| 4 | 10 | |
| 5 | 7 | |
| 6 | 35 | |
| 7 | 33 | |
| 8 | 59 | |
| 9 | [Psychological characteristics of patients with vasovagal syncope: and observational study on sixty subjects]. | 3 |
| 10 | 102 | |
| 11 | Pneumomediastinum and abdominal pain: which correlation? | 2 |
| 12 | 124 | |
| 13 | 202 | |
| 14 | 56 | |
| 15 | 30 | |
| 16 | 105 | |
| 17 | 23 | |
| 18 | [Intraoperative cholangiography during laparoscopic cholecystectomy: selective or routine?]. | 16 |
| 19 | ["Sequential" treatment: is it the best alternative in cholecysto-choledochal lithiasis?]. | 5 |
| 20 | 11 |
About Francesca Piacentini
Francesca Piacentini is a scholar working on Oncology, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 865 indexed citations. Recurring topics across this work include Colorectal Cancer Screening and Detection (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Colorectal Cancer Surgical Treatments (4 papers). The work is most often cited by research in Hepatology (169 citations), Oncology (444 citations) and Radiology, Nuclear Medicine and Imaging (235 citations). Francesca Piacentini has collaborated with scholars based in Italy, Norway and France. Frequent co-authors include Riccardo Iannaccone, Roberto Passariello, Andrea Laghi, Filippo Mangiapane, Carlo Catalano, Masatoshi Hori, Takamichi Murakami, Italo Nofroni, Paolo Sammartino and Giovanni Sinibaldi. Their work appears in journals such as Gastroenterology, Radiology and International Journal of Molecular Sciences.
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.