Francesca Spada
Impact in
Papers in
- Oncology 91
- Lung Cancer Research Studies 69
- Pancreatic and Hepatic Oncology Research 19
- Polyomavirus and related diseases 9
- Epidemiology 80
- Neuroendocrine Tumor Research Advances 78
- Co-authors
- Nicola Fazio (83 shared papers)Jacques Donnez (1 shared paper)Michelle Nisolle (2 shared papers)Jean Squifflet (1 shared paper)Chiara Alessandra Cella (22 shared papers)Massimo Barberis (10 shared papers)Salvatore Galdy (9 shared papers)Eleonora Pisa (16 shared papers)
- Journals
- Cancer Treatment Reviews (11 papers)Annals of Oncology (9 papers)Journal of Clinical Oncology (8 papers)Neuroendocrinology (7 papers)ESMO Open (3 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Francesca Spada
104 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 83
- Neurology 758
- Oncology 1.1k
- Epidemiology 1.1k
- Reproductive Medicine 149
- Obstetrics and Gynecology 127
Countries citing papers authored by Francesca Spada
This map shows the geographic impact of Francesca Spada'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 Spada with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesca Spada more than expected).
Fields of papers citing papers by Francesca Spada
This network shows the impact of papers produced by Francesca Spada. 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 Spada. The network helps show where Francesca Spada may publish in the future.
Co-authors
The 25 scholars most cited alongside Francesca Spada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 168 | |
| 2 | 2000 | 130 | |
| 3 | 2015 | 64 | |
| 4 | 2016 | 60 | |
| 5 | 2016 | 59 | |
| 6 | 2013 | 57 | |
| 7 | 2012 | 57 | |
| 8 | 2014 | 56 | |
| 9 | 2017 | 51 | |
| 10 | 2016 | 32 | |
| 11 | 2019 | 30 | |
| 12 | 2007 | 30 | |
| 13 | 2010 | 27 | |
| 14 | 2019 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2021 | 24 | |
| 17 | 2010 | 23 | |
| 18 | 2020 | 23 | |
| 19 | 2015 | 23 | |
| 20 | 2015 | 21 |
About Francesca Spada
Francesca Spada is a scholar working on Oncology, Epidemiology, Neurology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 113 papers that have together received 1.6k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (78 papers), Lung Cancer Research Studies (69 papers), Neuroblastoma Research and Treatments (50 papers), Pancreatic and Hepatic Oncology Research (19 papers), Polyomavirus and related diseases (9 papers), Antenna Design and Analysis (7 papers), Full-Duplex Wireless Communications (5 papers) and Hepatocellular Carcinoma Treatment and Prognosis (4 papers). The work is most often cited by research in Neurology (758 citations), Oncology (1.1k citations), Epidemiology (1.1k citations), Reproductive Medicine (149 citations) and Obstetrics and Gynecology (127 citations). Francesca Spada has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Nicola Fazio, Jacques Donnez, Michelle Nisolle, Jean Squifflet, Chiara Alessandra Cella, Massimo Barberis, Salvatore Galdy, Eleonora Pisa, Monica Giovannini and Emilio Bertani. Their work appears in journals such as Cancer Treatment Reviews, Annals of Oncology, Journal of Clinical Oncology, Neuroendocrinology and ESMO Open.
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.