G. Favalli
- Reproductive Medicine top 0.2%
- Surgery top 2%
- Obstetrics and Gynecology top 0.5%
- Oncology top 5%
- Molecular Biology
- Co-authors
- S. PecorelliÁngel J. LacaveJ. RenardM. van LentMarc BuyseNicoletta ColomboA KobierskaGiorgio Bolis
- Topics
- Ovarian cancer diagnosis and treatment (31 papers)Intraperitoneal and Appendiceal Malignancies (8 papers)Endometrial and Cervical Cancer Treatments (6 papers)
- Journals
- New England Journal of MedicineJournal of Clinical OncologyJNCI Journal of the National Cancer Institute
- Partner nations
- ItalyNetherlandsBelgium
In The Last Decade
G. Favalli
45 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Reproductive Medicine 1.9k
- Surgery 1.3k
- Obstetrics and Gynecology 1.0k
- Oncology 606
- Molecular Biology 293
Countries citing papers authored by G. Favalli
This map shows the geographic impact of G. Favalli'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 G. Favalli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Favalli more than expected).
Fields of papers citing papers by G. Favalli
This network shows the impact of papers produced by G. Favalli. 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 G. Favalli. The network helps show where G. Favalli may publish in the future.
Co-authorship network of co-authors of G. Favalli
This figure shows the co-authorship network connecting the top 25 collaborators of G. Favalli. A scholar is included among the top collaborators of G. Favalli 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 G. Favalli. G. Favalli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 91 | |
| 3 | 23 | |
| 4 | 17 | |
| 5 | 21 | |
| 6 | 10 | |
| 7 | 31 | |
| 8 | 22 | |
| 9 | 9 | |
| 10 | 5 | |
| 11 | The use of carbon-dioxide laser surgery in the treatment of intraepithelial neoplasia of the uterine cervix. | 4 |
| 12 | 34 | |
| 13 | 331 | |
| 14 | 117 | |
| 15 | The Effect of Debulking Surgery after Induction Chemotherapy on the Prognosis in Advanced Epithelial Ovarian Cancerbreakdown → | 484 |
| 16 | Difference in persistence of efficacy of two antiemetic regimens on acute emesis during cisplatin chemotherapy | 19 |
| 17 | 221 | |
| 18 | 110 | |
| 19 | 8 | |
| 20 | Phase II study of the platinum analog TNO-6 in patients with advanced ovarian cancer. | 3 |
About G. Favalli
G. Favalli is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology, having authored 45 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (31 papers), Intraperitoneal and Appendiceal Malignancies (8 papers) and Endometrial and Cervical Cancer Treatments (6 papers). The work is most often cited by research in Reproductive Medicine (1.9k citations), Obstetrics and Gynecology (1.0k citations) and Surgery (1.3k citations). G. Favalli has collaborated with scholars based in Italy, Netherlands and Belgium. Frequent co-authors include S. Pecorelli, Ángel J. Lacave, J. Renard, M. van Lent, Marc Buyse, Nicoletta Colombo, A Kobierska, Giorgio Bolis, Marco Nardi and Nicoletta Colombo. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology 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.