Gabriella Parma
- Reproductive Medicine top 0.5%
- Oncology top 5%
- Obstetrics and Gynecology top 1%
- Surgery top 10%
- Molecular Biology
- Co-authors
- Nicoletta ColomboVanna ZanagnoloAlessandra InsingaAndrea Alberto LissoniMichele PeirettiIgnace VergoteCristiana SessaFabio Landoni
- Topics
- Ovarian cancer diagnosis and treatment (36 papers)PARP inhibition in cancer therapy (15 papers)Endometrial and Cervical Cancer Treatments (12 papers)
- Partner nations
- ItalyUnited StatesSpain
In The Last Decade
Gabriella Parma
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 90
- Reproductive Medicine 869
- Oncology 617
- Obstetrics and Gynecology 596
- Surgery 350
- Molecular Biology 296
Countries citing papers authored by Gabriella Parma
This map shows the geographic impact of Gabriella Parma'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 Gabriella Parma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriella Parma more than expected).
Fields of papers citing papers by Gabriella Parma
This network shows the impact of papers produced by Gabriella Parma. 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 Gabriella Parma. The network helps show where Gabriella Parma may publish in the future.
Co-authorship network of co-authors of Gabriella Parma
This figure shows the co-authorship network connecting the top 25 collaborators of Gabriella Parma. A scholar is included among the top collaborators of Gabriella Parma 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 Gabriella Parma. Gabriella Parma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 3 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 27 | |
| 11 | 61 | |
| 12 | 35 | |
| 13 | 146 | |
| 14 | 60 | |
| 15 | 33 | |
| 16 | Randomised trial comparing doxorubicin, paclitaxel (AT), versus paclitaxel (T), as second line therapy for advanced ovarian cancer (AOC) patients in early progression after platinum-based chemotherapy. | 5 |
| 17 | Medical therapy of advanced malignant epithelial tumours of the ovary | 5 |
| 18 | 41 | |
| 19 | 14 | |
| 20 | 79 |
About Gabriella Parma
Gabriella Parma is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Oncology, having authored 53 papers that have together received 1.6k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (36 papers), PARP inhibition in cancer therapy (15 papers) and Endometrial and Cervical Cancer Treatments (12 papers). The work is most often cited by research in Reproductive Medicine (869 citations), Obstetrics and Gynecology (596 citations) and Oncology (617 citations). Gabriella Parma has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Nicoletta Colombo, Vanna Zanagnolo, Alessandra Insinga, Andrea Alberto Lissoni, Michele Peiretti, Ignace Vergote, Cristiana Sessa, Fabio Landoni, Gemma Gatta and M. Lapresa. Their work appears in journals such as Journal of Clinical Oncology, Neurology 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.