Federico Piacentini
- Oncology top 2%
- Cancer Research top 2%
- Pulmonary and Respiratory Medicine top 5%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Pierfranco ContéValentina GuarneriGuido FicarraMaria Vittoria DieciClaudia OmariniElena BarbieriMassimo DominiciStefania Bettelli
- Topics
- HER2/EGFR in Cancer Research (50 papers)Advanced Breast Cancer Therapies (44 papers)Breast Cancer Treatment Studies (41 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaJNCI Journal of the National Cancer Institute
- Partner nations
- ItalySpainUnited States
In The Last Decade
Federico Piacentini
103 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 96
- Oncology 1.3k
- Cancer Research 718
- Pulmonary and Respiratory Medicine 517
- Molecular Biology 386
- Radiology, Nuclear Medicine and Imaging 328
Countries citing papers authored by Federico Piacentini
This map shows the geographic impact of Federico 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 Federico Piacentini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Piacentini more than expected).
Fields of papers citing papers by Federico Piacentini
This network shows the impact of papers produced by Federico 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 Federico Piacentini. The network helps show where Federico Piacentini may publish in the future.
Co-authorship network of co-authors of Federico Piacentini
This figure shows the co-authorship network connecting the top 25 collaborators of Federico Piacentini. A scholar is included among the top collaborators of Federico 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 Federico Piacentini. Federico 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 | 0 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 10 | |
| 11 | 7 | |
| 12 | 26 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 8 | |
| 17 | 20 | |
| 18 | 8 | |
| 19 | 7 | |
| 20 | 56 |
About Federico Piacentini
Federico Piacentini is a scholar working on Cancer Research, Oncology and Pulmonary and Respiratory Medicine, having authored 115 papers that have together received 1.9k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (50 papers), Advanced Breast Cancer Therapies (44 papers) and Breast Cancer Treatment Studies (41 papers). The work is most often cited by research in Oncology (1.3k citations), Cancer Research (718 citations) and Pulmonary and Respiratory Medicine (517 citations). Federico Piacentini has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Pierfranco Conté, Valentina Guarneri, Guido Ficarra, Maria Vittoria Dieci, Claudia Omarini, Elena Barbieri, Massimo Dominici, Stefania Bettelli, Antonino Maiorana and Antonio Frassoldati. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.
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.